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5G World Forum 2020

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  • Overview of the Indian 5G-Testbed

    00:16:04
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    The Indian 5G testbed project, funded by the department of telecommunications (DOT) involves eight institutes and over 200 researchers. The goal is to build an end-to-end 5G testbed that can be used by academics and startups. This talk will focus on the modules being developed in this testbed along with the usage of the testbed.

  • India’s Ascent on the 5G Ladder

    00:15:18
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    The advent of 4G technology has led to radical changes all over the world, especially by way of smart phones that have had a staggering impact on our lives. Far from being a mere evolutionary successor of 4G, 5G technology is slated to revolutionize the telecommunications sector in the near future. 5G technology will go much beyond connecting people – 5G applications include integrating a whole range of machines into the internet, such as smart metering (electricity/water/gas), industrial sensors, tracking of people/assets, machined farming, agri-tech, perishable goods management, pollution monitoring, healthcare applications, video surveillance etc.
    Given that critical national infrastructure such as electricity grids, and various public services offered by local Government bodies will soon run on 5G, security considerations are crucial in the selection and ownership of such technology, as it will have a bearing on the nation’s ability to control the equipment as well as secure the delivery of such critical services. On the economic front, within the next decade, 5G/IoT is expected to add hundreds of Trillions of USD to the world economy. This is an unprecedented economic opportunity that India cannot afford to let go of. So far, only a few Indian entities have begun to address such opportunities in the 5G/IoT space.
    Recently, the Department of Telecommunication (DoT), Government of India, has sanctioned the “Indigenous 5G Testbed” program with a project outlay of 224 crores INR. This program, started yielding results in the form of prototype base stations, CPE/UE and NB-IoT chipset that are being demonstrated under lab conditions. One of the partner institutes in this project (IITH), has major contributions to key 5G technologies such as cloud RAN base station with massive MIMO capability, 5G UE prototype, and cellular NB-IoT chipset for connecting sensors and meters to the internet. IITH is expected to demonstrate these 5G prototypes during 2020.
    In this talk, Prof. Kuchi will first discuss the 5G scenario in India and the unique Indian requirements that 5G is expected to address. This is followed by a tech talk that highlights his efforts in designing 5G NR technology. The talk will comprise of video “demos” followed by a Q/A session.

  • What can Virtualization do for 5G Networks: Our experiences of building a 5G Testbed

    00:18:24
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    In order to enhance 5G R&D capability in India and increase our participation in global standardization activities, a 5G Testbed project involving a few of the prominent technical institutions of the country was initiated by the Department of Telecom, Govt of India in the year 2017-18. Some of the other goals of the project are to boost product design & manufacturing in the country and also encourage telecom product start-ups. As a part of the 5G Testbed project, we have been working on the development of the Core Network components and the support for WiFi access in 5G Networks. We are also developing a Multi-RAT SDN Controller to control and manage multiple radio access technologies in a unified manner. The 5G Testbed utilizes SDN and NFV, two key virtualization techniques as fundamental building blocks. With the help of SDN & NFV, we have been able to virtualize the complete 5G network and deploy it fully in the cloud. Interestingly, one of the unforeseen takeaways of the virtualization is that it has enabled us to continue the development & testing activities “virtually” uninterrupted during this pandemic. The talk will highlight our experiences of using these virtualization techniques in the testbed and the advantages they may bring.

  • Experience sharing from Wipro’s 5G lab

    00:20:29
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    5G network is expected to transform the industry verticals by enabling new use cases with its programmable interface and its ability to offer assured network quality for demanding requirements involving low latency and high bandwidth scenarios. While network has traditionally been built and operated by communication service providers, there are opportunities for vertical industry to build and operate private 5G networks. While network slicing is expected to offer use case specific network services through a public network, the market is divided on the way private network will evolve. To bring clarity, there is a need to create reference industry use cases, learn from it and make a decision on how the vertical application can leverage the new network capabilities through the open APIs. This session will touch upon the challenges for the industry verticals in re-imagining their applications leveraging 5G edge computing, open APIs, AI and real time network analytics to enhance experiences and value. The session also will share learning from sample industry applications developed in Wipro Lab.

  • Harnessing the Power of a Software-Defined Mobile Network

    00:18:31
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    Mobile networks, and specifically Radio Access Networks (RAN) are transforming from closed, vertically integrated systems to disaggregated, and decomposed software-driven systems. This new approach allows better systems to be built in completely new ways: open interfaces allow for vendor diversity and support greater innovation, disaggregated software enables efficient cloud-based models for automation and lifecycle management, and the user experience will be improved because of better radio solutions.
    Openness and abundance of choice can also present challenges to network operators trying to find their path while developing new operational models. This session will highlight how the architecture is transforming as well as lessons we’ve learned along the way as one of the early pioneers in this space. Finally, we’ll discuss approaches for simplifying the integration with multi-vendor labs and blueprints.

  • Wireless testbed for Next-Gen Connected Robots

    00:22:06
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     Ubiquitous network connectivity has changed the way we design and maintain computing systems – there is no better illustration than our computers and phones automatically downloading patches and updating themselves throughout their lifetime. We can anticipate a similar and possibly more profound impact on design of next generation intelligent autonomous machines – or robots. Unmanned vehicles like cars, drones etc will greatly benefit from ubiquitous connectivity – even more so if the latency and quality are guaranteed. However exploring these technologies, their associated challenges, and potential solutions, requires state of the art  testbeds which will allow researchers to easily create, measure and study various scenarios – both in the network side as well as the application side. Given the cost and engineering  challenges in creating and operating such testbeds, we believe an open source, collaborative and a networked approach to create the testbeds themselves, across multiple centres around  the world will foster rapid acceleration, development and dissemination of next-gen connectivity technologies and solutions. This talk will further outline this vision and our attempts at creating such a testbed in IISc for connected robots.

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  • Affordable Broadband Networks: Connecting the Unconnected in 5G & Beyond

    00:02:09
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    The 5th generation of wireless ICT eco-system is being commercially launched in several countries, based on three important pillars of wireless technology innovation: (a) Low latency, (b) Enhanced gigabits wireless broadband and (c) massive machine type communication. Wireless networks based on 5G and beyond (5G&B) technologies, are also expected to transform the way humans and devices communicate and exchange information services, improve resource utilization and automation of industry. However, the current 5G&B standard is lacking features for affordable broadband to support the broadband connectivity of underserved rural communities. Despite decades of wireless & mobile infrastructure deployments, there are ~3.6 Billion broadband unconnected people globally according to ITU. The main aim of this Panel is to discuss the extension of recent research in unlicensed wireless technologies, including current 5G&B research activities to develop a long-range radio, smart spectrum sharing, energy efficient green networks, self-organizing & software-defined networks and development of 5G test-beds for 5G innovative use cases addressing the requirements of affordable wireless broadband. The current virus crisis clearly showed the importance of broadband connectivity and provision of ICT based societal services in emerging markets and specifically in rural digitally excluded communities. In this panel industries’ view on affordable network technologies in the 5G and beyond research agenda, will be discussed for solutions to address affordable broadband in 5G&B, as we strive to achieve wireless internet connectivity of underserved global communities and improve digital inclusion. The panel will discuss the following affordable broadband themes: (1) Smart spectrum sharing including unlicensed but managed spectrum sharing networks; (2) Energy efficiency including green networking; (3) Network infrastructure and operational cost reduction by technologies such as HAP platforms (Loon), Long range 5G NR, SDN/NFV and self-organizing network technologies; and (4) New policy and business models for connecting the unconnected.

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  • Machine Learning at the Edge | Amazon Web Services (AWS) Session

    00:35:26
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    AWS edge computing services provide infrastructure and software that move data processing and analysis as close to the end-point as necessary. This includes deploying AWS managed hardware and software to locations outside AWS data centers, and even onto customer-owned devices. For applications demanding near-instantaneous inference, it is not possible to make API calls to the cloud for generating predictions. This session will walk you through drivers and use cases for machine learning at the edge, allowing you to learn how to train machine learning models using Amazon SageMaker, optimize them using Amazon SageMaker Neo, and deploy them to edge device using AWS Greengrass.

  • AWS Wavelength for 5G Mobile Edge Computing | Amazon Web Services (AWS) Session

    00:21:39
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    Wavelength brings AWS infrastructure to the edge of the 5G Mobile network, giving you access to the well-known AWS compute resources, APIs, CLI, SDK right at 5G edge to develop and deploy ultra-low latency-sensitive applications. Write your application once irrespective of whether it is deployed in AWS Region or in different Wavelength Zones across various 5G Mobile networks globally and manage them through a single pane of glass.  In this session you will learn about what Wavelength is, different use cases Wavelength can unlock, and how to get started with Wavelength.

  • Deep Dive of AWS Wavelength and the various use cases it enables | Amazon Web Services (AWS) Session

    00:16:34
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    AWS Wavelength seamlessly connects with the AWS region and provides the necessary compute and storage for developers to write applications that need ultra-low latency. AWS Compute Innovations powered by the Nitro architecture provides the framework to run AWS Availability zones deep inside the carrier network and closer to the edge. In this session, we will Deep Dive into the AWS Wavelength Architecture, the innovation that powers  AWS Wavelength, connectivity patterns for applications using AWS Wavelength, and the various edge use cases that benefit from AWS Wavelength and Services.

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  • eHealth over 5G: A Signal Processing-based approach

    01:15:19
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    Traditional healthcare systems cannot satisfy anymore the needs of a continuously growing and developing society. The world today needs to face problems such as the aging of population, and the inherent need of assisted-living environments for elderly people. The upcoming 5G network, along with the rapid proliferation of IoT devices, will provide unprecedented benefits and innovations in several areas like data science, machine learning and signal processing which will boost many healthcare solutions. The goal of this tutorial is three-fold: i) to discuss the impact of 5G on the latest eHealth advancements by presenting innovative and efficient solutions; ii) to illustrate the aspects of applying 5G in healthcare systems by showing some practical applications and the response to technology-assisted medical care and treatments; iii) to provide further directions for research posing new problems and challenges in the eHealth field.Bio: Andrea Sciarrone was born in Livorno, Italy in 1984. He got his bachelor’s degree in Telecommunication Engineering at the University of Genoa in 2007 and the master’s degree Cum Laude in Telecommunication Engineering in 2009 in the same University. In 2014 Andrea Sciarrone got the Ph. D. degree in Ambient Intelligence at University of Genoa with a thesis on Signal Processing Algorithms for Context-Aware applications over mobile platforms. He is currently Assistant Professor and member of the research staff of the Telecommunication Research Group and, of the Digital Signal Processing (DSP) Laboratory at the University of Genoa.

  • Free space optics: Potentials, challenges, and perspectives

    01:01:04
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    Optical wireless communication (OWC) has received considerable attention for a variety of applications due to the broad unlicensed spectrum. OWC systems operate over different frequency bands to carry information on optical signals, which are then ultraviolet, visible, and infrared. In this tutorial, we will mainly focus on infrared OWC, commonly referred to as free space optics (FSO). FSO can guarantee a high-bit-rate line of sight transmission over long distances of up to several kilometers. As such, FSO is an attractive solution to the last-meter and last-mile connectivity problems in communication networks, mainly when fiber optics installation is unavailable. Installing FSO systems can significantly help to tackle the “digital divide” by lowering the installation time and cost. FSO is equally expected to be a significant part of the beyond 5G eras. However, FSO is subject to different technical and channel related challenges, including alignment, divergence, and random propagation effects. Various diversity and multiplexing based techniques have been proposed to improve the reliability and transmission capacity of FSO systems. Recently, the spatial structure of the light as an additional degree of freedom for FOS communications was proposed. The concept is better known as spatial mode multiplexing (SMM). Until now, FSO demonstrations, including those with spatially structured light, have been mostly confined to well-controlled laboratory conditions. The goal of this tutorial is to present the new trends in FSO and the main challenges to establish high-bit rate outdoor optical wireless links. The attendees of the tutorial will also become familiar with SSM-based FSO and how to harness structured light beams in a real-world environment. We will further present the potential of FSO for deep-space communication.

  • 5G Technology Survey for Industry 4.0 to cater to Smart Manufacturing Industry

    01:07:43
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    Presently manufacturers are relying on fixed networks and 2G,3G,4G wireless network but these networks are not capable to accomplish the requirements in the manufacturing and 5G is a key connectivity solution for smart manufacturing, as many of its technical capabilities have been designed with Industry 4.0 applications in mind such as ultra-reliable low latency communications vital for real-time communications, greater bandwidth and higher device density support for use-cases that generate more data traffic and host a greater number of devices / sensors between machines, network slicing feature that facilitates virtual separation of networks for enhanced security and reliability of operational networks. It also inherently supports mobile edge computing which allows critical network functionality to be retained at the edge providing better resilience and operational continuity. In this 5G technology survey tutorial, we are going to review the present network connectivity and its technological limitations in meeting the requirement of manufacturing industry and how 5G is a key connectivity solution for smart manufacturing with practical use cases, 5G Wireless Wire-line convergence, 5G Non-Public network and other recent developments in telecommunication standards.

  • Ultra-Reliable and Low-Latency Communications for Industry 4.0

    01:01:55
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    Future wireless networks need to provide Ultra-Reliable and Low-Latency Communications (URLLC) for Industry 4.0, which is also one of the major goals in the fifth generation (5G) communication systems. In this tutorial, we will discuss some fundamental design aspects and challenges to enable real-time industrial applications in future wireless networks. In particular, we will show our remote robotic control testbed in Glasgow University, UK. Specifically, we start from industrial perspective to introduce the basic requirements of wireless communications for Industry 4.0, which covers several industrial use cases. Then, we discuss the inter-dependencies between wireless communication and industrial control systems, and introduce the system design from the perspective of communication-control co-design. Finally, we discuss the URLLC design, open problems, and potential research directions from academic perspective, which covers physical (PHY) and media access control (MAC) layers.

     

  • 5G Functional Splits for vRAN and Future RAN Cloudification

    01:03:40
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    Open RAN and how the mobile industry is moving away from legacy “monolithic” based radio access network is the hottest topic during the past couple of years. This approach is the cornerstone for 5G and future mobile networks to be multi-vendor, multi-technology, and cloud-based. This tutorial addresses the new concepts of distributed RAN based on different types of splits and how this new paradigm needs a new orchestration and network management.The tutorial starts with reviews of the current trends in the overall design of 5G network architecture and will address how these architectures translate into new 5G RAN architecture requirements. The 5G protocol stack architecture will be discussed in detail; differences with 4G, and what are the reasonable function splits in 5G RAN. Also, we will discuss the impact and challenges of fronthaul and backhaul availability for different types of splits in the future 5G deployments. Due to exponential increases in mobile data demands in recent years and deployment of 5G networks, soon network densification is considered as a critical mechanism in the evolution of cellular network deployments. In the ultra-dense heterogeneous networks for 5G, the base stations are brought closer and closer to the users through dense deployments. However, the performance and capacity of the network do not increase monotonously with the increasing number of base stations due to inter-cell interference and backhaul/fronthaul limitation. We will address the challenges and solutions to tackle densification problems. is a 20 years veteran executive of the wireless and telecommunications industry. His in-depth understanding of current mobile technologies, together with his awareness in diverse environment is grounded in two decades of first-hand experience in working for mobile operators and vendors across the world. Directly involved in standardization efforts and product developments for 3G and 4G systems.

  • Private 5G – trends and architecture evolution

    01:08:27
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    As 5G finds its way in real deployments, the ecosystem is figuring out the monetization opportunities through industry use cases. Making the best use of 5G architectural tenets to deliver superior user experience for the Industry applications will play a critical role in fostering rapid adoption of 5G technology beyond traditional communication services provided by the Telcos. Enterprises are looking at building their own network to attain greater autonomy. WiFi and cellular radio can attain far more synergy in 5G architecture In this Tutorial, the following will be covered: – Public vs. Private network – historical background – Market trends and spectrum perspective – Standards evolution to support Vertical use cases like industrial automation, traffic management – Deployment options – Convergence of 3GPP and Non-3GPP access technologies – How 5G will expose its capabilities for Industry applications I would request for 90-120 min session to provide a well rounded tutorial with reasonable details for the attendees to benefit from.

  • Wireless Virtualization for Enhancing Network Capacity, Coverage, Energy Efficiency and Security for 5G and Beyond

    00:53:04
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    Over the last several decades, we have experienced tremendous growth in the use of cellular telephones and Wi-Fi networks for home and office, as well as emerging wireless technologies geared toward different applications. The massive growth of lightweight hand-held devices used to access wireless networks has resulted in an exponential increase in demand for wireless services and severe wireless spectrum shortage. To overcome these problems, beyond spectrum sharing with licensed users, a new wireless architecture is needed to enhance network coverage, capacity and security. This tutorial will present recent advances in wireless virtualization for 5G and beyond that is expected to significantly advance the field of wireless communications, with an expectation of opening transformative research directions. Specifically, we will focus on a) devising a novel generalized wireless virtualization architecture, or Wi-Vi, to provide wireless services to users using Radio-as-a-Service where Wi-Vi architecture will enhance network capacity, coverage, seamless mobility and energy efficiency, and thus be able to support trillions of devices in next generation wireless systems; and b) by extending the scope of the proposed Wi-Vi framework for performance isolation, security and privacy while providing quality-of-service/experience to users in a diverse wireless environment. Moreover, this tutorial will help researchers across many fields understand how wireless communications influences the emerging fields such as smart grid, eHealth, vehicular networks, next generation cellular networks, Internet-of-things, cyber-physical systems and secure cyberspace.

  • Challenges and Opportunities in the Analysis and Optimization of Heterogeneous Wireless Networks

    01:15:53
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    The progressive adoption of Internet of Things and the deployment of 5G networks is leading to heterogeneous network operation scenarios, with diverse quality of service requirements given by highly dynamic user demands. In this sense, ultra-dense node environments will coexist with high mobility applications, leading to complex scenarios in terms of interference characterization and handling. Moreover, a vast number of nodes is foreseen to enable IoT environments, with inherent restrictions in terms of form factor, energy consumption and cost. In this context coverage/capacity analysis is a valuable tool in order to perform device as well as system level design, considering interference impact and variable transceiver densities. This tutorial focuses on the challenges in wireless channel analysis applied for coverage/capacity analysis and interference determination in heterogeneous wireless system operation, including 5G NR for FR1 and FR2 frequency ranges. An overview of different wireless characterization techniques is provided, focusing on new hybrid deterministic simulation approaches as well on current empirical based models. Several scenarios under test will be described, providing insight on coverage/capacity estimations and subsequent system design and optimization in order to comply with quality of service and quality of experience requirements.

  • Beyond Massive MIMO — Promising Research Directions for Antenna Arrays

    01:05:57
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    Massive MIMO (multiple-input multiple-output) is no longer a “wild” or “promising” concept for future cellular networks-in 2019 it became a reality, with 64-antenna base stations (BSs) being commercially deployed in many countries. The development of the Massive MIMO communication technology is now in the hands of the product departments of companies such as Ericsson, Huawei, Nokia, etc. A large number of communications, signal processing, and optimization algorithms have been developed over the last ten years and it remains to be seen which ones will work well in practice. Before the product developers have had the chance to try out the existing algorithms, there is limited need for further algorithmic development and capacity analysis in the scientific literature. It is, therefore, time for MIMO and mmWave communication researchers to change focus towards new applications of antenna arrays. If 5G becomes a commercial success, massive digitally controllable antenna arrays will be deployed “everywhere”. What else can we use this spatial resolution for and how will the antenna deployment evolve beyond 5G? This tutorial starts by giving a brief overview of Massive MIMO and how the many open problems that were identified five years ago have now been solved. Bearing in mind that Massive MIMO was considered science fiction just ten years ago, we now need to target new theoretical but practically challenging problems to develop the next multiple antenna technology. In the tutorial, we outline two such forward-looking research directions: Cell-free Massive MIMO, and Holographic MIMO. We will provide the analytical foundation, a historical background, and a vision for future development.

  • Ultra Reliable Low Latency Communications (URLLC) in 5G: From Theory to Reality

    01:17:42
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    5G is expected to support Ultra Reliable Low Latency Communications (URLLC) based services, such as industrial control, remote surgery, tactile internet, etc. These are also the most challenging services to implement because they require a new network design and control methodology, in order to satisfy their requirements and enable their co-existence with other types of services that 5G and beyond systems need to deliver. Indeed, today as we enter the Phase 3 of 5G design leading to 6G, it is imperative not only to understand how to deliver URLLC services but also to ensure that they will be offered in a sustainable fashion (i.e., not draining all network resources) that is compatible with the already provided enhanced Mobile Broadband (eMBB) services. The proposed tutorial addresses the signal processing and optimization aspects of URLLC for 5G and beyond networks. The tutorial will cover a novel system design framework, state of the art signal processing and optimization techniques; and introduce cross disciplinary methodology to discuss complex trade-offs in 5G and beyond networks in view of URLLC.

  • Practical approach to 5G Network slicing

    01:00:17
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    5G Network slicing enables operators to configure virtual network instances and stitch together, instantiated automatically and optimized to meet specific functional requirements of a subscriber or application. Network slicing requires optimal deployment of user requirements and network functions and resource exclusivity on end-to-end 5G infrastructures to provide desired quality of service. As part of network slicing designer need to stitch slice business requirements, networks resource availability in entire chain, user equipment subscription and policy mapping and develop slice instantiation procedures. Network slicing can be achieved by various ways depending on 5G network functions such as Network Slice Selection Function (NSSF), User Equipment Route Selection policy (URSP), Slice or Service type (SST) and Slice Differentiator (SD) which need to be carefully planned to achieve desired outcome. The tutorial will provide a practical design approach towards network slice design on core network aspect. We will start with network slice overview followed by design criteria and input requirements. We will deepdive into relevant policies, application binding and mapping to slice, network functions selection criteria using Callflow walkthrough for slice combinations. In summary the speakers will share their experience with participants on how to realize networking slicing from theory to practical approach. The session will also help participants how to optimize and design network resources for successful deployment of network slices.

  • Narrow-Band Wireless Wide-Area Network Technologies; Overview and Performance Evaluation for 5G use cases

    01:00:50
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    Wireless networking technologies are one of the major building blocks of Industrial Internet of Things (IIoT) and Industry 4.0 applications. To meet the wireless connectivity requirements such as long-range, low-cost, low-bandwidth, scalability, and low-energy (for battery powered or energy-autarkic operation), new classes of Narrow-Band Wireless Wide-Area Network (NBWWAN) technologies are introduced. NBWWAN promises a new level of link budgets at low output power and cost allowing a long range and stable local communication in IoT deployments [1]. In general, NBWWANs may operate in unlicensed and licensed bands. The networks operate in unlicensed bands and proprietary solutions are already available in the market such as LoRa/ LoRaWAN, SigFox, MIOTY, Weightless, Ingenu etc. Alternative for the LPWANs in licensed band are cellular network variants, being standardized by 3rd Generation Partnership Project (3GPP) under the umbrella term of cellular IoT (cIoT). The most suitable cIoT technology for LPWAN use case is Narrow-Band Internet of Things (NB-IoT). The LPWAN and cIoT technologies are collectively referred as NBWWAN since it operates on narrow bandwidth and mainly target to achieve wide-area coverage. Since these networks typically operate in a spatially distributed environment and their characteristics and functions coupled with wireless channels, it is a tedious process to systematically compare, test, and measure the performance of these wireless systems. For performance evaluation, construction of systematic test environment is an important task. This tutorial presentation focusses on in-depth theoretical concepts and sharing our experience with performance evaluation of NBWWANs.

  • Doherty Power Amplifier Design for 5G Cellular Infrastructure

    00:51:26
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    The 5G wireless revolution presents some dramatic challenges to the design of cellular infrastructure, as 5G targets higher data rates with multiple-input multiple-output (MIMO) antennas, ultra-low latency, new waveform, etc. The type of waveform used in the radio access network is a defining characteristic of any mobile generation. During the development phase of 5G NR, orthogonal-frequency-division-multiplexing (OFDM) and its variants are the main candidates for the waveform. Unfortunately, these waveforms exhibit a very high peak-to-average power ratio (PAPR). This high PAPR increases the 5G base station cost by increasing wasted power and its cooling requirement. To accommodate this challenge 5G RF transmitter demands higher-power efficiency and stringent linearity from its power amplifier (PA). To fulfill these requirements Doherty amplifier is the most suited solution due to its simple structure and high efficiency at back-off power. However, its design process varies tremendously across the use case, frequency range, power range, and device technology. Due to this, the design procedure of a Doherty PA is often subjected to tuning and optimization. In this tutorial, I will cover the entire lifecycle of an efficient power amplifier design.

     

  • Performance Analysis of 5G Networks: New Directions

    00:56:12
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    Future wireless networks like 5G will carry an increasingly wide variety of data traffic, with different QoS requirements. In addition to conventional data traffic generated from HTTP, FTP and video streaming applications by mobile broadband users (human-type communication (HTC) traffic), traffic from machine-to-machine (M2M) and Internet-of-Things (IoT) applications (machine-type communication (MTC) traffic) has to be supported by 5G networks. Some of these data applications are sensitive to delay (live-video, IoT in medical application etc.), while others (FTP, e-mail, smart-metering etc.) are not. HTC traffic at the base station is characterized by two stages of randomness:(i) at the macro level, the arrival processes of service requests of different types of service (ii) at the micro level, the rate of packet generation of the service type, the size of these packets and their servicing times (waiting time + transmission time). The macro level arrival process (i.e. connection-level) is non-stationary, depending on the temporal dynamics of service usage. The length of data session in HTC traffic is random, thereby the number of packets generated in any given interval of time is random. In MTC traffic, randomness in traffic arises from random number of devices trying to connect to the base station at any given time. Packets generated by devices may be either periodic or event-triggered, and number of packets generated is small. Estimating time-dependent aggregate traffic from all types of traffic and the delay experienced by each traffic type is critical in designing 5G access networks that ensure the stipulated QoS requirements of each traffic type. Nevertheless, it is difficult to model aggregate traffic due to the time-dependent arrival rate of human-type and machine-type traffic. In this tutorial, special correlation functions of stochastic point processes called Product Densities (PDs) are used for estimating time-dependent aggregate traffic and delay in both types of traffic, as seen by the base station. For HTC traffic, PDs are defined for evaluating offered load under time-dependent connection arrival rates (macro level) and for estimating the expected number of ON periods in an interval of time
    (0,T)(0,T) (micro level). For MTC traffic, PDs are defined for estimating the random number of devices connected to the base station at any time. Another QoS parameter in MTC is the expected number of devices delayed beyond a certain critical value of delay. Bi-variate PDs are defined to estimate the number of devices experiencing delay beyond a given critical threshold. The results from PD model are verified with simulation. This tutorial demonstrates the PD technique as an effective tool for estimation of time-dependent aggregate traffic, supported by simulations.

  • Quantum computing for 5G networks

    01:03:14
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     In order to support the numerous applications and devices in real time communication with agreed Quality of Service, a large scale planning before deployment of 5G networks and subsequent tuning of the parameters is necessary. It calls for the networks to be dynamic and adaptive with built-in intelligence to shape the traffic. Artificial intelligence and optimisation algorithms can be successfully used for this purpose. Although the technology is very helpful and practical, their scope is limited in time and space. E.g. such algorithms can have the visibility of a few datacentres with the prediction last over a few seconds, often demanding unaffordable resources, time and power. To take it to the next level, a global intelligence platform is required for prediction, optimisation, and categorisation etc.in real time encompassing large networks. Quantum computers addresses all these issues in one shot with their support for massive parallelism as ease of access. Today, APIs making use of quantum computers have been hosted on the cloud for commercial applications. Telecom service providers have started to use the applications to plan for the next generation mobile networks. This proposal is to provide the background of quantum computing, the algorithms and techniques useful for the 5G networks.

  • Process offloading architecture over the 5G networks

    01:03:57
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     In the near future, cloud resources will be increasingly used over 5G networks both for data steaming and processing in real time. It calls for very low latency in the round trip. Support for the latency of less than 1 ms for the mobile user is an important aspect of 5G technology. Towards this, it is a challenge to support the upcoming AR/VR applications and provide a seamless experience for a user travelling past the 5G network in a bullet train with a speed of 500 kmph. By the time a channel gets established and streaming starts with a ground station or a fog network, it would vanish from the horizon. It requires continuous tracking of the user, prediction of the next moves and monitoring of e traffic pattern over the network to provide seamless experience. To make it happen, offloading of data or the process should happen dynamically along the path of the user over the right choice of fog or edge terminal. In addition, the process migration with partial or completed results should follow the user with the same speed. This tutorial proposal details the problem along with the solution alternatives to support the high speed mobile users.

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  • The future of Satellite-Terrestrial 5G system and service integration

    00:29:54
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     We are experiencing a massive societal transformation through the digital enablement of our world. The demand for connectivity for consumer and business continues to outstrip our ability to deliver services everywhere. The cost of rollout of wireless services into wider area is a major blocker to the productivity of rural and remote communities. Satellites could contribute to the solution, but current satellite systems are constrained by spectrum utilisation, and regulatory constraints on power flux density driven by a historic perspective on spectrum sharing between satellite and terrestrial systems.
    The world is changing, the cost of manufacturing satellites and the access to space is dramatically falling, new materials such as flexible photovoltaic and lightweight composite structures, together with virtualised network functions and software radio platforms increases capability and flexibility. New paradigms such as megaconstellations are manifest, triggering significant investments in future constellations.
    This talk outlines some of the opportunities that are driving the investment, and considers a number of future operational scenarios. To stimulate the imagination, a future concept for synthetic aperture communications satellites is described, able to deliver massive spectrum reuse and direct service delivery to future smartphones as an overlay to 5G.

  • Satellite Integration into 5G and Beyond: Use Cases and Proof-of-Concept Testbed

    00:30:50
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    The presentation will address key satellite use cases for 5G and Beyond and provide an overview of SES relevant innovation activities with focus on its next-generation NGSO satellite constellation system O3b mPOWER. The presentation will also elaborate on an innovative proof-of-concept testbed for over-the-air experimentation, validation and demonstration of key technologies and vertical use cases for satellite integration into 5G and Beyond.

  • Potentials and challenges of MEC implementation in B5G Satellite Networks

    00:18:09
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    Multi-access Edge Computing (MEC) concepts have been out for already many years with particular interest and application in terrestrial networks where MEC was initially defined as mobile edge computing. In this respect, MEC has been exploited for both computation and caching purposes with the ultimate need to achieve a more flexible and efficient overall architecture and, more importantly, to minimize the service execution delay so as to approach the so-called concept of almost-zero perceived latency. Such a perspective is becoming even more attractive in the context of B5G where non-terrestrial networks (e.g., encompassing satellite systems too) are expected to be integrated with the rest of the telecommunication ecosystem. Initial studies have been already carried out around the use of MEC in satellite systems especially for boosting the access to content but a more holistic view on potentials and challenges is still missing. In particular, the advent of 3D satellite network with several space objects possibly interconnected dramatically multiplies the opportunities for exploiting MEC concepts, although also design limitations have also to be properly understood and taken into consideration. As such, this talk attempts to provide a general view on the different opportunities that can materialize in the context of integrated satellite-B5G networks and identifies some key research topics for further development and investigation from the scientific community in the very next few years.

  • Machine Learning for 5G/B5G Non-terrestrial Networks

    00:20:35
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    This presentation will focus on the potential applications of ML for 5G/B5G non-terrestrial networks. The first part will cover the fundamental concepts of basic machine learning algorithms including supervised, unsupervised and reinforcement learning. The second par t will elaborate on the classification of ML applications in the areas including physical layer communication, network planning & routing, positioning, security, resource management, etc. Finally, the presentation will also address the challenges in advancing ML techniques for 5G/B5G non-terrestrial networks and provide future research directors for how ML can contribute to realizing the integration of non-terrestrial components into 5G/B5G.

  • Dense LEO Satellite Networks: Opportunities and Challenges.

    00:13:17
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    The future generation of Internet services expect ultra-low latency, very high density of nodes, high throughput, and high reliability. The evolution of computer networks beyond 5G to support future Internet services is likely to be influenced by the emerging class of dense LEO satellite networks. Recently proposed dense LEO constellation networks such as Starlink and OneWeb provide better latency performance across continents than that can be provided by the optical fiber-based backbone of today’s Internet. Therefore, many futuristic services of the Internet may move over to the dense LEO clusters. However, the dense LEO clusters face many technological, operational, and research challenges. This talk focuses on opportunities and challenges offered by the dense LEO satellite networks.

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  • FirstNet – transformation public safety communications

    00:15:47
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    FirstNet, America’s nationwide public safety broadband network, a reality today and is helping communities across the country respond to every day emergencies and large natural disasters, as well as supporting public safety response to COVID-19. The FirstNet Authority is responsible for overseeing the network deployment including the implementation of LTE mission critical features and participates in 3PPG standards development on behalf of the US public safety community. Hear from FirstNet Authority CTO Jeff Bratcher on the FirstNet Authority’s work to drive mission critical standards for 5G and what 5G mission critical solution could mean for public safety operations in the future.

  • Impact of 5G on Lawful Intelligence: The nuts and bolts of 5G

    00:22:57
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    This webinar will provide the basis for understanding how and when telecommunications operators and law enforcement agencies will be impacted by 5G. Topics will explain why 5G innovations, such as increased bandwidth, spectrum and security improvements will impact lawful intelligence. We will also go over how 5G will change the new crime scene and the need for new tools and techniques to investigate.

  • Next Generation Networks Ergonomics for Public Safety Applications

    00:35:58
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    The presentation is focused on defining Network Ergonomics and why it is important for public safety applications–including features of next generation networks for supporting better ergonomics. Other topics addressed include intent-based networking, analytics, M2M, distributed computing, hybrid networks and FMC, and network efficiency as better ergonomics KPIs. The presentation will also present a Case Study on COVID-19 and the importance of Network Ergonomics.

  • NFV in the Sky

    00:22:04
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    Recent developments in Software Defined Networking and Network Function Virtualization are generating new opportunities involving the usage of aerial vehicles, especially in emergency and fast response scenarios. The presentation will briefly introduce SDN and NFV paradigms, and focus on potential applications in fast deployment of 5G connectivity and services.

  • Wireless Infrastructure RF Front Ends for 5G and beyond

    00:31:05
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    The number of elements in infrastructure 5G front-ends is multiplying due to mMIMO and beamforming.  This along with higher carrier frequencies, bandwidth and thermal considerations due to limited PA efficiency generate multitude of technical and commercial challenges. In this talk we will take a deep dive into these challenges for both mmWave and sub-6GHz 5G infrastructure systems. We will look at the current RF front-end block diagrams and discuss a few architectures and circuits that will alleviate the challenges as we go beyond 5G.

  • Mission Critical Communication – User Equipment Protocol Conformance Testing

    00:23:55
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     One important question from public-safety agencies, while selecting a Mission Critical Communication (MCC) User Equipment (UE), is: Will this UE interwork with MCC components used by other public-safety agencies in the vicinity? The associated concern, can be addressed to a great extent, if the UE is certified to be 3GPP MCC Protocol compliant.
    Polaris Networks has been working on MCC for many years, and is currently engaged with US NIST in a cooperative agreement, to develop a MCC UE Protocol Certification Test Tool. Sudipto Biswas, the Principal Investigator in this endeavor, will be sharing some of the challenges in this journey.
    In this presentation you can get an idea on background information related to MCC service, MCC network model, UE (DUT) layers, test tool components, and MCC protocol features to be tested. You can also get to know about the challenges related to, suitable DUT (UE) availability, 3GPP standards status, 3GPP Abstract Test Suite status, cryptographic functions, DUT side automation, suitable base station availability, testing Evolved Multimedia Broadcast Muticast Service (eMBMS) services, and testing over 5G.

  • FirstNet: Coverage, Security, and Control are here to stay

    00:16:51
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    Many agencies still have the misconception that FirstNet coverage is not pervasive in their jurisdictions. Objective evidence proves otherwise. Many First Responders still are required to use cumbersome VPN client technologies while in the field. In CJIS practice, this is not required in order to enjoy the benefits highly secure applications in a mobile environment. FirstNet local control provides for unprecedented situational views. Provisioning, Control, and Analytics of the user devices attached to FirstNet by the agency is also now available.
    Coverage is King – Priority, Pre-emptions and “Cognitive Networking” for unprecedented pervasive coverage. (Even in rural areas) Security is Queen. Once pervasive coverage is established, FIPS-140-2 grade security become paramount. Incident command control of FirstNet is table stakes. Provisioning, monitoring, and analysis of user-connected devices extends control of interconnect user devices beyond that of the network tower view. Top stories from agencies and incidents are shared from the past 6-12 months. A view of what is possible in the next 6-18 months as FirstNet and associated user devices evolve. A short primer on how to connect all the pieces to position an agency for network extensibility in the face of an evolving FirstNet service. How to maximize interconnection to FirstNet using priority, preemption, and cognitive networking. How to secure cellular networks without client-base VPNs or carrier APNs.

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  • The 5G revolution: How will the 21st century cities shape their “SMART” destiny with 5G

    00:31:35
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    What’s the 5G promise for smart cities? With ultra-high-speed connectivity, low latency, better battery life and the ability to handle millions of users, 5G will be a game changer for the smart city movement. 5G will empower smart cities to light up next generation use-cases such as real-time traffic management, remote patient monitoring and predictive interventions, Augmented Reality guided tourism, Drone surveillance, integrated autonomous transportation systems and improved disaster response. With the enablement of the Internet of Things powered by Artificial Intelligence, 5G will enable limitless smart city applications aimed at empowering the 21st century digital citizen. 

    How should cities think about 5G? Smart cities should adopt the role of a proactive shaper of its 5G future where municipalities drive initiatives with public and private stakeholders and support practical implementation to enable the next generation use cases and applications. A distinctive 5G network enabled by fiber connectivity operated in a neutral access/neutral host manner will increasingly become an imperative for speedy integration of new applications required for Smart Cities to achieve its true potential.

  • SBOM and Transparency in the software supply chain

    00:21:46
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    Software plays an increasingly important role in 5G networks and the related connected world of devices and applications, and yet relatively little coordinated attention has been paid to the security and quality of the software supply chain. The first step to understanding this supply chain is transparency. This talk will give an overview of a “software bill of materials,” (SBOM) and how greater transparency can drive assurance, better quality, and help mitigate risks and vulnerabilities found deep on our supply chains. We will present on the progress made in an open, international, community-led process, and identify further needed work, potential research, and opportunities to engage.

  • Configurable Networked Data Management in 5G Smart Cities

    00:20:12
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    5G Smart Cities will have rich possibilities for networking with low latency edge networks, distributed networks, and hierarchical networks. Such networks can be configured on demand to help in the realization of different use-cases. This talk will cover interesting possibilities for hierarchical and distributed data processing leveraging such networks in 5G smart cities, which can give rise to interesting challenges for data management. This talk will also address policy and regulatory-related concerns for data management in such smart cities.

  • Shaping the 5G-Powered Smart City of Tomorrow

    00:15:33
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     With migration increasing into urban environments, smart cities offer a way to keep us thriving, both in our daily lives, and in the face of crises like climate change, pandemics, and terrorism. This session explores how 5G can be harnessed to keep IoT-powered cities running – from the humble smart water meter all the way to autonomous EMS vehicles. It looks at success stories of service providers partnering with technologists, enterprises, and governments to define how to use 5G effectively. By illustrating the smart city of the (near) future, I’ll also pinpoint the hotbeds of 5G opportunity – verticals with strong IoT growth projections that are also inherently mobile.

  • IEEE Standards Impact on Future Connectivity Technologies

    00:44:18
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    Next generation connectivity technologies (5G and future technologies) when deployed over the next several years will provide higher bandwidth, and lower latency than current generation. These technologies will accelerate and provide connectivity to billions of devices and enable completely new market verticals and applications that will transform the way we work and live. IEEE Standards Association is at the forefront of driving these technologies with new capabilities in IEEE 802 and other complimentary enterprise level standards development activities which will be highlighted through this talk. The talk will also provide a brief overview of standards development and how experts can participate in ongoing IEEE SA programs.

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  • Exponential Technology Platforms (AI, 5G, Deep Learning, Sensors, Robotics, …) as Health Democratize Enablers

    00:42:29
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    Healthcare Innovation is typically based on incrementals of current processes and procedures. Real disruption rarely happens, actually is often aggressively prevented due to the rigidity of the system and its established stakeholders, time it takes to obtain regulatory approvals, and established reimbursements for existing approaches. Exponential technologies and exponential thinking (10x) could help to create completely new devices / processes and with that could help to democratize global health delivery. Covid-19 has already boosted telemedicine applications globally and 5G is a base requirement for other potential remote services. The talk will highlight some of the current issues and health challenges and provide innovation guidelines combined with some current examples.

  • 5G in Healthcare – India Perspective

    01:00:50
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    5G in Healthcare – India Perspective

    Vijayarajan A

    The presentation and discussions will focus on India Specific Potential Use Cases where 5G technology can be applied for maximum impact

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  • AI-powered radio access networks

    00:27:00
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    Imagine the network efficiencies that could be gained if radio frequency bands and traffic were managed automatically through artificial intelligence… 5G coverage could be secured and the user experience would never suffer. We now enable a unique means of optimizing the radio access networks: by adding AI across the radio access network. Ericsson’s AI functionalities are optimized for the RAN Compute architecture and have the advantage of running close to the radios, bringing down feedback loops to less than a few milliseconds.

  • Joint channel estimation and soft-symbol detection in massive MIMO systems with low resolution ADCs

    00:26:38
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    In this talk, we present a variational Bayes’ algorithm for joint channel estimation and soft symbol decoding in an uplink massive multiple input multiple output (MIMO) receiver with low resolution analog to digital converters (ADCs). The posterior beliefs obtained from the algorithm can be easily used to compute the bit log likelihood ratios, which can be input to a channel decoder. We evaluate the symbol error probability and the normalized mean squared error of the channel estimates of the proposed algorithm using Monte Carlo simulations, and benchmark it against an unquantized variational Bayesian algorithm with perfect and imperfect channel state information (CSI). Also, we empirically show that the perfect CSI assumption that is considered in a few low-resolution ADC based massive MIMO papers greatly overestimates the performance of the system. This is joint work with Sai Subramanyam Thoota and Ramesh Annavajjala.

  • ML in 5G and beyond networks

    00:22:05
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    Machine learning (ML) as a tool for enabling automation in radio access networks (RANs) is growing more important each year due to the densification of networks and the growth in data consumption.  Driven by improved processing and enhanced software techniques and access to massive amount of data, ML techniques promise to combine simplification with improved performance and efficiency. ML methods allow network operators to solve problems that are challenging with traditional algorithms, optimize several variables jointly, and optimize a sequence of decisions. In order to leverage the potentials of ML in wireless communication systems, a deep understanding of existing systems is vital. Combining ML competence with domain knowledge is crucial for allowing us to solve the right problem in a simplified and efficient way. This presentation will provide an overview of challenges, learnings and opportunities when introducing ML in 5G and beyond networks.

  • The AI Revolution in a 5G World

    00:23:36
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    5G is driving a transformation in how people live, work, and play. This transformation will result in radically new experiences on how we are entertained, manufacture products, receive healthcare, and communicate with each other. This presentation takes you on a journey to the year 2025 to provide a view of these experiences that are riding on the 5G network. Behind this emerging 5G world, AI is revolutionizing how we forecast, design, plan and build the network, and how we optimize connectivity among people and “everything” through a dynamic, intelligent and an adaptive network. AI, empowered by machine learning and virtualization, is enabling efficient, cost-effective, secure and a highly reliable network.

  • "Applying scalable and practical machine learning for real-time programmable optimization in 5G cellular networks "

    00:29:19
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    Traditional mobile networks have cellular Radio Access Network (RAN) and core networking components inter-operate with each other based on protocol and standards, as opposed to data and intelligence. With the impetus on advanced ML/AI techniques, open-source technologies, SDN/NFV and network edge cloud, there has been a recent interest in the telecom industry to move from native and closed-source solutions in vendor-proprietary hardware to intelligent data-driven and open solutions in third-party commercial-off-the-shelf platforms. This has opened opportunities for multiple players in the telecom space, fostering an innovative and competitive 3rd party ecosystem. However, in the past, the closed architecture of a cellular network made it challenging to incorporate these solutions in operational mobile networks. With the advent of 5G, disaggregated RAN and open-RAN architectures and edge-cloud APIs, there has been a significant momentum in building intelligent solutions on operational 5G networks.
    In this talk, we will cover the application of scalable and practical ML/AI techniques in the context of 5G cellular networks under two key aspects: (i) real-time optimization of the cellular RAN, and (ii) end-to-end network and application optimization. We will leverage SDN/NFV, open RAN-architected RAN Intelligent Controller (RIC) and edge-cloud APIs towards achieving this. In particular, we talk about how we could predict by using ML/AI and optimize RAN latency in real-time for LTE-NR dual-connected 5G users by leveraging the RIC component. We also talk about how to optimize IP packet sizes in the core network based on ML/AI-driven RAN latency prediction to optimize the goodput and latency of the end-user application and the throughput of the network by leveraging network edge-cloud APIs. We further discuss the relevance of these techniques in the context of network slicing for enhanced mobile broadband (eMBB) and ultra-high reliable low-latency communication (uRLLC) applications.

  • Heterogenous Densification of Future Networks

    00:30:30
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    To fully experience the 5G potentials and enjoy its promised high data rates and unprecedented throughput, the future networks must guarantee the users a reliable coverage and uniform performance anytime and anywhere.  This can only be achieved through network densification and deploying orders of magnitude more access-nodes than the traditional networks. To strike a balance between the offered user experience and the cost of implementation and operation, the future networks will comprise access-nodes of different types and functionalities: macro-cells, small-cells, relay nodes (e.g. integrated access and backhaul (IAB) nodes), wired and wireless remote units, smart RF repeaters, intelligent reflecting surfaces, etc. In this talk, we give an overview of recent standardization efforts for some of these access-nodes and discuss how AI/ML may help with managing the future dense heterogenous networks.

  • Enabling Cloud Intelligence for the 5G Edge

    00:26:05
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     We generally think of 5G purely as a telephony architecture, yet 5G will also open the door to “cloud edge” computing as a scalable technology for apps that run on mobile phones, enabling mobile devices to tap into real-time big data analytics and real-time machine intelligence.  The challenge is that to use 5G with the cloud in this manner, we will need instant correct reaction based on rapidly changing real-world data.  In this talk, I’ll describe recent work to make the cloud friendlier for demanding real-world applications.  Cornell’s Derecho and Cascade technologies, on which this talk is based, can be downloaded for free open-source use from GitHub.com/Derecho-Project.

  • Advanced AI Applications for 5G

    00:22:46
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    This talk will cover several highly promising AI technologies applicable for 5G, including causal inference, graph and graph machine learning and transfer learning. Given the distributed nature of 5G and the availability of huge amount of data, we are presented with the unique opportunity and challenge to build smarter systems leveraging on AI. This talk helps illustrate the general principals and practical use cases on how these AI technologies can be used to provide advantages in various 5G applications.

  • Machine Learning Enhanced Wireless Communications: Opportunities for 5G and 6G

    00:25:43
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    The physical layer of cellular systems has been optimized over five generations of technology evolution through the application of deep knowledge of information and communication theory principles. Nevertheless, several recent studies applying deep learning techniques to wireless signal transmission and reception show potential for further improvement in spectral efficiency and/or reduction in receiver complexity. We discuss several AI/ML receiver concepts for 5G systems such as random-access channel reception, channel estimation, demapping, as well as a complete deep learning receiver approach that show improvement over model-based receiver design. Looking ahead towards 6G new air-interface design, we discuss opportunities to optimize the transmitted signal using AI/ML.

  • Practical 5G Use Cases and Machine Learning Adoption

    00:21:02
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    Machine Learning is proving to play a significant role across many facets of the 5G landscape.  This presentation explores 5G use cases converting the benefits of ML technology into real world value.  Additionally, this presentation covers the underlying ML technology and the key role data pipeline management plays in successfully deploying ML based solutions.

  • 5G + AI/ML = Smart World, Addressing Real-World Problems with Smart Technology

    00:25:47
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    Smart technology is the result of the fusion of AI/ML with highly performant computing and video over an ultra-low latency, high bandwidth, 5G network. From SmartPhones to Smart Cities and a Smart World, these technologies are making us safer and more productive.  This talk will address how AI/ML is being applied to video in real-time to address a wide range of applications from Smart Cities to Smart Retail and Smart Hospitals. In Smart Cities, live video feeds from traffic and city cameras, along with drones, are combined to address issues like access control, suspicious vehicle detection, surveillance using face detection, crowd detection, and vehicle traffic detection. When applied to Smart Retail it can detect missed scans during product check-out or tickets that had been swapped. With Smart Hospitals, this means in bed patient monitoring that detects nearly a dozen conditions where the patient has moved and is in distress, for example, a seizure or they require assistance and have simply waived their hand to get attention.  Wireless 5G networks provide the fabric on which the video and AI/ML-driven computations and results travel. With latency targets for these smart technologies in the 10s of milliseconds, no other broadband network is up to the task.  AI/ML, combined with 5G, is making the world safer and more productive.

  • High-Bandwidth Low-Latency Applications using AI and Edge Computing Infrastructure – A Snapshot

    00:25:08
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    This talk reviews experiences in pursuing experimental studies with high-bandwidth low-latency applications which utilize video-based deep learning. Using the example of the COSMOS smart-city intersection, we illustrate one approach to privacy preservation, and show how it affects the results in object detection accuracies. We discuss the development/tool chain, debugging, profiling and evaluation of the results, and provide some insight into what challenges will have to be further overcome to facilitate support for reliable low-latency high-bandwidth applications.

  • Distributed intelligence for dynamic resource allocation in 5G networks

    00:17:53
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    In 5G networks, we expect resource allocation problems to be: (a) localized, because of small cells; (b) more in number, because of denser cells and higher traffic; and (c) heterogeneous, because of the variety of applications and devices on such networks.  Centralized resource allocation is a poor fit for such scenarios.  We argue in favor of distributed solutions for such allocation problems.  Moreover, we want these solutions to be automated in order to scale up to the demands of 5G networks.  We propose market-based resource allocation solutions based on economic models of utility and show how they are distributed and lead to efficient allocation of resources while maintaining the quality of service as perceived by both users and network operators.  The automation of such market-based solutions is achieved by machine learning models to predict resource demand by each user such that the predicted demand can be satisfied by resources acquired by the user through a market transaction.  We illustrate such intelligent market-based resource allocation for the case of a user supported by a cluster of base stations under coordinated multi-point (CoMP) transmission.

  • Responsible AI for Networked Systems

    00:24:34
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    I will describe a responsible methodology for applying AI to networked systems that is minimally disruptive, synergistic with human solutions, and safe. First, I will develop a paradigm that combines reinforcement learning with the ability to ask counterfactual (“what if”) questions about a decision-making system and show how to use this to exploit the natural information emitted by these systems. Then, I will describe an abstraction called a “safeguard” that protects an AI system from violating a safety specification, while allowing the system and the safeguard to co-evolve. We will apply this methodology to several infrastructure systems in our Azure cloud and edge.

  • The New Ecosystem Orchestrators: 5G and the Rise of Collaborative Connected Solutions

    00:27:18
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    A decade ago, advancements in device hardware technology drove innovations in wireless network infrastructure and cloud resource availability — and we’ve collectively been reaping the benefits ever since with the widespread adoption of virtual networking, spatial computing, and artificial intelligence algorithms applied to every industry that have redefined how we live our lives. But the symbiosis of existing high-speed wireless connectivity and device capabilities is being upended by the arrival of 5G. 
    This advanced network-as-a-platform is poised to enable a revolution with respect to how we interact with hardware (like mobile phones and VR/AR), and this has significant implications for creators and technologists who are thinking about how the next ten years will be shaped and how companies will provide value to their customers. The fact is: 5G is here and will open the door to entire ecosystems of computing that uses information from the entire world around us.
    In this session, you will learn why life (as we know it) is about to change, and how 5G and AI/ML will enable emerging technologies and influence the development of entirely new ways to interact with each other — and how we can begin preparing for it now.

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  • IMT-2020 Channel Model for RIT Evaluation: Requirement, Principle and Advanced Features

    00:03:17
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    The workshop on “IMT 2020 Radio Interface Technology” is conceptualized as a result of participation in independent evaluation of IMT 2020 (5G) candidate technology. 5G India Forum (5GIF) registered as an independent evaluation group (IEG) for the IMT 2020 standard from ITU. A couple of educational institution and industry experts joined together to evaluate the submission of technology candidates such as ETSI DECT 2020, China, NuFront, 3GPP. On successful evaluation, the group planned to disseminate ate the information and process through conducting this workshop. We thank IEEE 5G World forum organizing committee for giving us chance to be here with you all. Apart from invited speakers, as you can see, they are highly involved in standard development, we also have few papers from evaluators who have presented their outcomes for some of the technology. I hope, the workshop and paper is very useful resource for many of you. Join and attend the workshop.

  • Opportunities and challenges for AI in 5G and beyond

    00:21:53
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    Artificial Intelligence (AI) is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. Some good opportunities may lie ahead at all layers including the PHY, MAC, networking and overall system level optimizations. The field of AI, especially deep learning, is filled with tremendous opportunity for exploration and improvement. For instance, deep neural networks of today are rapidly growing in size and use too much memory, compute, and energy. To make AI truly ubiquitous, it needs to run on the end device within a tight power and thermal budget. New approaches and fundamental research in AI, as well as applying that research, is required to advance machine learning further and speed up adoption. In this topic we will discuss opportunities and challenges for AI in 5G and beyond.

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  • Democratizing Beyond5G/6G

    00:40:39
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    In Japan, Commercial 5G service has started in the spring of 2020 while 5G telecommunication services have been already globally deployed and utilized. At the same time, in each country, a strategy aiming at 6G is already in progress, and in Japan, the direction of research and development is being discussed under the name beyond5G/6G. Also, several counties have allocated white space to private 5G usage, and open to non-telecommunication companies so that they can operate their own customized 5G networks. We posit that this democtratization trends will open a door to the innovations towards 6G.
    In this presentation, introducing local 5G activities in Japan that have caught very much attention from industries together with our lab’s research activities around 5G and local 5G, we discuss an evolution path from private 5G to private 6G and then to public 6G.

  • 5G Developmental Journey @WiSig Networks

    00:09:40
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    WiSig Networks Pvt Ltd (WiSig), a startup incubated at IIT Hyderabad (IITH) technology incubator, is beginning to cement its place in the 5G market space, through development of cutting-edge technologies like Massive MIMO (mMIMO), ORAN 5G base station comprising of DU (Distribution Unit) and RU (Radio Unit) with sub 6GHz and mmwave support, NB-IoT SoC (System-on-Chip) production, IP (Intellectual Property) supply and licensing. WiSig with deep expertise in physical layer and protocol stack, holds a strong 5G patent portfolio that offers significant differentiation and value addition.
    WiSig is working on the development of a radio access network based on an emerging disruptive technology called ORAN (Open-Radio-Access-Network), that is being touted as the next major disruptor in the 5G landscape. This technology allows development and rapid deployment of low-cost, software upgradable, 5G base stations in significantly higher volumes and larger densities than current 4G network. ORAN is a software defined 5G system based on open interfaces, and general-purpose hardware. Some operators have initiated deployment of ORAN based soft-ware-defined network (SDN) and visualization networks that enable self-organization, low operational cost, ease of introduction of new features and service upgrades. New 5G use cases can be introduced rapidly on the fly using software upgrades as opposed to costly and time-consuming hardware development cycles.
    WiSig has recently demonstrated the one of the first ORAN compliant demonstrations of full 5G baseband at CEATEC, Tokyo, Japan during 2019 followed by a yet another show at Mobile World Congress (MWC) USA, LA 2019. WiSig demonstrated ORAN compliant baseband including mMIMO reference design at these trade shows. On the IoT side, WiSig Networks is developing a 3GPP standards compliant NB-IoT SoC in cooperation with IIT Hyderabad. This chip includes NB-IoT modem, GNSS (GPS) radio and an application processor. This solution can serve the security needs of critical national IoT infrastructure involving use cases such as Electricity, Water, Gas, Defence, public safety and other smart city applications.
    This talk outlines the 5G developmental journey at WiSig Networks.

  • Validating 5G in vertical industries: the 5Growth project

    00:32:41
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    This talk describes the approach followed by the H2020 EU 5Growth project to validate 5G in vertical-oriented scenarios. Three main vertical sectors, namely Industry 4.0, Energy and Transportation, are addressed by deploying and assessing 5G in pilots located in Madrid, Turin and Aveiro. The architecture and innovations designed by the project to tackle the needs of these vertical sectors will be presented, as well as the use cases that will be validated.

  • Transport for Industry 4.0: shared networks and 5G slicing transport aware

    00:20:26
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    Most of the relevant use cases for Industry 4.0 are based on Stand Alone Networks that are delivered on the vertical premises in order to meet latency requirements. In order to reduce total cost of ownership and enable novel use cases, it is very relevant to define solutions that allows to support such use cases in a shared network while assuring the same performance of dedicated network. Qualifying ingredient for realizing a shared network are two: a suitable transport networks based on optical technology combined with slicing technique that is transport aware. This presentation shows a concrete example of a shared networks that is carried out in the framework of the H2020 European project “5Growth” that is based on WDM transport and extends the 5G slicing architecture with the transport. Implementation on a PoC is also reported.

  • Supervised Deep Learning for MIMO Precoding.

    00:15:01
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    Supervised Deep Learning for MIMO Precoding

    Aravind Ganesh Pathapati (IIT Hyderabad, India); Chakradhar Nakka (IIT Hyderabad, India); Havish Naga Vnkata Satya Sai Krishna Potharaju (IIT Hyderabad, India); Sai Ashish Somayajula (IIT Hyderabad, India); SaiDhiraj Amuru (IIT Hyderabad, India)

     

  • Migration and interworking between 4G and 5G

    00:22:46
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    Migration and interworking between 4G and 5G

    Prakash Suthar (Cisco Systems, USA); Rajaneesh Sudhakar Shetty (Cisco Systems Inc. India); Vivek Agarwal (Cisco Systems Inc. USA); Anil Jangam (Cisco Systems, USA)

  • A Fast and Low Capacity Virtual RAN Recovery based on PDCP Split and Optical Fronthaul Traffic Filtering

    00:14:25
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    A Fast and Low Capacity Virtual RAN Recovery based on PDCP Split and Optical Fronthaul Traffic Filtering

    Federico Civerchia (SmaRTu sas, France); Koteswararao Kondepu (Sculoa Superiore San’Anna, Italy); Justine Cris B Borromeo (Sculoa Superiore San’Anna, Italy); Nicola Sambo (Sculoa Superiore San’Anna, Italy); Piero Castoldi (Sculoa Superiore San’Anna, Italy); Luca Valcarenghi (Sculoa Superiore San’Anna, Italy)

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  • 5G and Beyond 5G Non-Terrestrial Networks: trends and research challenges

    00:14:54
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    The evolution of 5G into beyond 5G and 6G networks aims at responding to the increasing need of our society of ubiquitous and continuous connectivity services in all areas of our life: from education to finance, from politics to health, from entertainment to environment protection. The next generation network communication infrastructure is called to support this increasing demand of connectivity by enforcing: energy- and cost efficiency to guarantee environmental and economical sustainability; scalability, flexibility, and adaptability to ensure support to the heterogeneity of the service characteristics and constraints, as well as the variety of equipment; reliability and dependability to fulfil its role of critical infrastructure able to provide global connectivity no matter the social, political, or environmental situation. In this framework, non-terrestrial networks (NTN) are recognized to play a crucial role. It is in fact generally understood that the terrestrial network alone cannot provide the flexibility, scalability, adaptability, and coverage required to meet the above requirements, and the integration of the NTN component is a key enabler. In this framework, 3GPP has started to address the inclusion of technology enablers in the NR standard to support NTN. However, to fully exploit the potential of the NT component in an integrated terrestrial and NT architecture, several research and innovation challenges shall be addressed. In this presentation, authors first discuss the current development of NTN in 5G and then present the vision of the role of NTN in B5G and 6G networks and elaborate the corresponding research challenges.

  • A Logic-Efficient Recursive Doppler Rate Estimation Processor for LEO Satellites

    00:16:26
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     Doppler frequency is a major channel impairment in mobile SATCOM receivers and LEO digital receivers. Due to its random nature, efficient Doppler frequency estimation and tracking algorithms is presented in this talk. Since computational resources especially on space-born platforms is costly, this presentation shows how to implement Doppler frequency tracking with a minimum logic on FPGA or ASIC-based digital receivers. Authors show that Doppler frequency tracking is possible even with limited logic resources where only ADD, MULT and SHIFT operations could be used.

  • Onboard PAPR Reduction and Digital Predistortions for 5G waveforms in High Throughput Satellites

    00:15:00
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    Satellite systems will play an important role in the coming fifth generation (5G) of mobile communications. For a smooth integration of satellite networks into the terrestrial ones, the standardization bodies are pushing for shared spectrum. Therefore, it is of interest to study the applicability of multicarrier waveforms that have already shown promise to meet the requirements of the future mobile networks in the context of satellite specific scenarios. 5G candidate waveforms such as filtered orthogonal frequency division multiplexing (f-OFDM), filter bank multicarrier (FBMC), and universal filtered multicarrier (UFMC) offer sharper out-of-band characteristics, significantly increasing the spectral efficiency. However, like OFDM, these waveforms exhibit a high peak-to-average-power ratio (PAPR). A high PAPR saturates the non-linear high-power amplifier (HPA) causing non-linear distortions in the on-board HPA’s output. Moreover, signal clipping is often proposed in the literature to reduce the PAPR. However, clipping itself introduces non-linear distortions within the signal bandwidth. Digital predistortion (DPD) can be applied to the clipped signal to remove the added non-linear distortions while keeping the overall PAPR low. This talk provides the simulation results on the application of the aforementioned waveforms to a satellite communication chain, and presents the gains achieved by implementing DPD and clipping together in terms of PAPR, power spectral densities (PSDs) and bit error rates (BERs).

  • Physical Layer Security with Unknown Eavesdroppers in Beyond-5G MU-MIMO SATCOM

    00:11:23
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    In multiuser multiple-input multiple-output (MU-MIMO) systems for beyond-5G, many user groups are served by the same transmitter in a time-based scheduling. Considering all unscheduled users as eavesdroppers puts a high complexity on algorithms to achieve physical layer security (PLS). Moreover, due to the Line-of-Sight channel properties, PLS is even more challenging to achieve in satellite communication (SATCOM) downlinks. In multibeam MU-MIMO satellite systems, which will be part of beyond-5G networks, the spatial degrees of freedom can be used for both throughput and secrecy improvements. Authors extend a user-fairness zero-forcing algorithm with artificial noise to achieve secure precoding even if the channel state information of the eavesdroppers is unknown. Authors define the secrecy outage probability for Line-of-Sight MU-MIMO SATCOM channels and analyze how it can be reduced by the aforementioned algorithm. Moreover, authors introduce a trade-off between a high system throughput and a low secrecy outage probability for the cost-effectiveness considerations of PLS.

  • Time-Packing as Enabler of Optical Feeder Link Adaptation in High Throughput Satellite Systems

    00:14:07
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    This presentation focuses on the data rate that a High Throughput Satellite (HTS) system with fully regenerative payload can achieve when using an intensity modulation/direct detection optical feeder link. A low-order Pulse Amplitude Modulation (M-PAM) with time-packing is used to modulate the intensity of the laser diode beam, making use of an external Mach-Zehnder modulator. These M-PAM symbols are recovered on-board the satellite with the aid of a photodetector and are then encapsulated into the 5G radio frame of the access link. The M-PAM modulation order and the overlapping factor of time packing are jointly selected to tackle the impact of slowly-varying weather conditions. Moreover, the inter-symbol interference that time-packing introduces is mitigated in reception using a Viterbi equalizer. As expected, time-packing enables a finer granularity on the link adaptation capability of the optical feeder link, enabling to adjust its spectral efficiency according to the moderate attenuation that thin cloud layers introduce.

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  • Security Considerations on 5G-Enabled Back-Situation Awareness for CCAM

    00:15:06
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    Security Considerations on 5G-Enabled Back-Situation Awareness for CCAM

    Marco Centenaro and Stefano Berlato (Fondazione Bruno Kessler, Italy); Roberto Carbone (Security and Trust Unit, Fondazione Bruno Kessler, Italy); Gianfranco Burzio (Drivesec srl & Gianfranco Burzio, Italy); Giuseppe Faranda Cordella (Drivesec srl, Italy); Silvio Ranise and Roberto Riggio (Fondazione Bruno Kessler, Italy)

  • Vehicular Message Exchange in Cross-border Scenarios Using Public Cloud Infrastructure

    00:15:34
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    Vehicular Message Exchange in Cross-border Scenarios Using Public Cloud Infrastructure

    Ricard Vilalta and Ramon Casellas (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Spain); Roshan Sedar and Francisco Vázquez-Gallego (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain); Ricardo Martinez (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Spain); Soumya Kanti Datta (EURECOM, France); Mathieu Lefebvre, Frédéric Gardes and Jean Marc Odinot (Orange, France); Jérôme Härri (EURECOM, France); Jesus Alonso-Zarate (Centre Tecnologic de Telecomunicacions de Catalunya – CTTC, Spain); Raul Muñoz (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Spain)

  • Local 5G Operator Architecture for Delay Critical Telehealth Applications

    00:09:20
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    Local 5G Operator Architecture for Delay Critical Telehealth Applications

    Rakshitha De Silva (University of Moratuwa, Sri Lanka); Yushan Siriwardhana (University of Oulu, Finland); Tharaka Samarasinghe (University of Moratuwa, Sri Lanka); Mika E Ylianttila (University of Oulu, Finland); Madhusanka Liyanage (University College Dublin, Ireland & University of Oulu, Finland)

  • Service Enabler Layer for 5G Verticals

    00:14:19
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    Service Enabler Layer for 5G Verticals

    Sapan Shah (Samsung R&D Institute, India); Basavaraj Jayawant Pattan (Samsung R&D Institute India – Bangalore, India); Nishant Gupta (Samsung Electronics, India); Narendranath Durga Tangudu (SAMSUNG R&D INSTITUTE INDIA – BANGALORE, India); Suresh Chitturi (SRI-B, India)

  • Common Framework for 5G Northbound APIs

    00:14:15
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    Common Framework for 5G Northbound APIs

    Narendranath Durga Tangudu (SAMSUNG R&D INSTITUTE INDIA – BANGALORE, India); Basavaraj Jayawant Pattan (Samsung R&D Institute India – Bangalore, India); Nishant Gupta (Samsung Electronics, India); Sapan Shah (Samsung R&D Institute, India); Suresh Chitturi (SRI-B, India)

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