IEEE 8th World Forum on Internet of Things
26 October–11 November 2022 // Yokohama, Japan

Indf-03: 5G and Beyond

Description

Track 3 on “5G and Beyond” will focus on the key paradigms set for future radio and IoT communication, namely openness and intelligence, particularly at a network edge. It is particularly interesting that mentioned openness and intelligence of 5G and future 6G networks create both opportunities and challenges at the same time that will be covered in the industry panel sessions. The track will feature sessions on an Open Radio Access Network (O-RAN), 5G-IoT platform with Fog/Edge intelligence for smart city applications, edge computing and AI for 5G and beyond, evolution from 5G IoT deployment to 6G vision, and intelligent Full-Duplex technology and services.

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Session 1: From 5G IoT Deployment to 6G Vision

Abstract

Cellular wireless communications become more and more essential to enable IoT services. In 5G IoT wireless services, mMTC (Massive Machine Type Communication) and URLLC (Ultra-Reliable and Low Latency Communication) are included. In 5G era, researchers and companies have started applying cellular wireless technologies to enable IoT applications. Nevertheless, current 5G technologies cannot solve all the IoT problems. Beyond 5G technologies are needed to better serve different IoT vertical applications in smart manufacturing, smart health care, smart transportation, etc. Experiences of current 5G IoT deployment in various vertical markets provide a reality check on how telecommunications networks service IoT applications and what are the missing pieces to enable better IoT services.

6G wireless communications and networking systems are expected to support diverse IoT services. As 6G system design will be application-driven, it is critical to investigate how different IoT applications will drive the future research and development of 6G system. In this industry forum, we will invite experts from industry and academia to share their experiences on 5G IoT service deployment and views on research directions toward 6G visions for future IoT services. In this special session, the following topics will be covered:
  • 5G IoT deployment for vertical industry and lessons learned
  • IoT services and technologies with Non-Terrestrial Networks
  • Gap analysis from 5G IoT to 6G IoT Technologies
  • Vision toward 6G IoT

Chairs

 Dr. Hung-Yu Wei, National Taiwan University, Taiwan

Hung-Yu Wei is a Professor in Department of Electrical Engineering and Graduate Institute of Communications Engineering, National Taiwan University. Currently, he serves as Associate Chair in Department of Electrical Engineering. He received the B.S. degree in electrical engineering from National Taiwan University in 1999. He received the M.S. and the Ph.D. degree in electrical engineering from Columbia University in 2001 and 2005 respectively. He was a summer intern at Telcordia Applied Research in 2000 and 2001. He was with NEC Labs America from 2003 to 2005. He joined Department of Electrical Engineering at the National Taiwan University in July 2005. His research interests include next-generation wireless broadband networks, IoT, fog/edge computing, cross-layer design for wireless multimedia, and game theoretic models for communications networks.Dr. Wei received NTU Excellent Teaching Award in 2008 and 2018. He also received “Recruiting Outstanding Young Scholar Award” from the Foundation for the Advancement of Outstanding Scholarship in 2006, K. T. Li Young Researcher Award from ACM Taipei/Taiwan Chapter and The Institute of Information and Computing Machinery in 2012, Excellent Young Engineer Award from the Chinese Institute of Electrical Engineering in 2014, Wu Ta You Memorial Award from MOST in 2015, and Outstanding Research Award from MOST in 2020. He has been actively participating in NGMN, IEEE 802.16, 3GPP, IEEE P1934, and IEEE P1935 standardization. He serves as Vice Chair of IEEE P1934 Working Group to standardize fog computing and networking architecture. He serves as Secretary for IEEE ComSoC Fog/Edge Industry Community. He is an Associate Editor for IEEE System journal and IEEE IoT magazine, and was an Associate Editor for IEEE IoT journal. He is an IEEE certified Wireless Communications Professional. He was the Chair of IEEE VTS Taipei Chapter during 2016~2017. He serves as program co-coordinator for MOST 6G program in Taiwan. He is currently the Chair of IEEE P1935 working group for edge/fog management and orchestration standard.

 

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Session 2: 5G-IoT Platform with Fog/Edge Intelligence for Smart City Applications

Abstract

With the introduction of the smart city concept, government regulatory decisions are no longer based on traditional experience but via directly dialogue with data to make informed decisions. A smart city is a complex application system that integrates various technologies such as edge/fog computing, big data, artificial intelligence, and privacy computing. The smart city itself has a high level of informatization and intelligence, which can meet the current development needs of people’s daily work. Smart cities use the edge computing technology to collect user and environmental data, and exploit big data for rational planning and allocation of global resources, so as to provide an automated intelligent management platform for city managers. In addition, the combination of 5G technology and edge/fog computing provides important support for smart city construction. The high spectrum-efficiency and high transmission reliability guarantees of 5G technologies improve the efficiency of data transmission and accelerate the development of smart cities.

In the context of rapid economic development, the scale of urban development has gradually increased, and the complexity of urban infrastructure governance has become prominent. Smart cities can support data-based decision analysis and refine urban development planning. By applying edge /fog computing and Internet of Things, a complete information resource collection system can be built to regulate and analyze the overall development trend of the city. For example, smart transportation can use monitoring or traffic flow analysis systems to uniformly display urban road condition information; smart energy systems can allocate energy on demand through the link protocol of edge nodes; smart logistics systems can solve the lag of traditional business through real-time data analysis question. Therefore, the edge/fog computing technology enabled by 5G will bring huge opportunities for the construction of smart cities. At the technical level, the large-scale IoT platform will integrate core capabilities such as network, computing, storage, perception, and link. Edge/fog nodes will provide efficient near-end services on the user side. User services are processed at the edge of the network, thereby achieving faster network response and lower latency. In addition, with the help of edge/fog computing technology, user privacy information can be localized without uploading, further ensuring information security. The urban IoT platform can meet the basic needs of smart city construction in terms of real-time business, rapid deployment, efficient operation, security and privacy protection from the technical level. Driven by edge/fog computing and big data, smart cities are also expected to be more intelligent and humanized. This panel will cover the following topics:
  • User-centric service architecture in smart cities
  • Distributed computing in edge/fog computing network
  • Security and privacy of smart city edge computing data platform
  • New network architectures or communication protocols for edge intelligence
  • The development direction and future positioning of cloud computing and edge/fog computing
  • Resource management and scheduling methods in edge/fog computing
  • Edge intelligent service architecture with ubiquitous computing power
  • Communication cost and reliability in the 5G-IoT Platform
We hope that all participants can understand the application prospects of edge/fog computing in smart cities. The conference will show you the vision of relying on big data to realize the service vision centered on each user.

Chairs

 Dr. Yang Yang, Terminus

Dr. Yang Yang, IEEE Fellow, is the Chief Scientist of IoT at Terminus, which is a leading AIoT company in China. He is also an adjunct professor with ShanghaiTech University, an adjunct professor with Peng Cheng Laboratory, as well as a Senior Consultant for Shenzhen SmartCity Technology Development Group, China. Before joining Terminus, he has held faculty positions at the Chinese University of Hong Kong, Brunel University, U.K., University College London (UCL), U.K., CAS-SIMIT, and ShanghaiTech University, China. Yang’s research interests include 5G/6G systems, AIoT technologies, fog/edge computing networks, intelligent services and applications, and advanced testbeds. He has published more than 300 papers and filed more than 80 technical patents in these research areas. He has been the Chair of the Steering Committee of Asia-Pacific Conference on Communications (APCC) from 2019 to 2021. Currently, he is serving the IEEE Communications Society as the Chair for 5G Industry Community and Chair for Asia Region at Fog/Edge Industry Community.

 

 Dr. Yong Zhou, ShanghaiTech University

Yong Zhou received the B.Sc. and M.Eng. degrees from Shandong University, Jinan, China, in 2008 and 2011, respectively, and the Ph.D. degree from the University of Waterloo, Waterloo, ON, Canada, in 2015. From Nov. 2015 to Jan. 2018, he worked as a postdoctoral research fellow in the Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, Canada. He is currently an Assistant Professor in the School of Information Science and Technology, ShanghaiTech University, Shanghai, China. He was the track co-chair of IEEE VTC 2020 Fall and is the general co-chair of IEEE ICC 2022 workshop on edge artificial intelligence for 6G. His research interests include 5G and beyond communications, edge intelligence, and Internet of Things.

 

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Session 3: Openness in Radio Access Network in 6G

Abstract

In recent years, the evolution of the radio access network (RAN) development follows the vivid trends in computer and software design like virtualization and modularization. This driving design paradigm, called Open RAN, is the natural consequence of transforming the base stations from solid-state entities, to distributed, virtualized and cloud-based units with open interfaces. The traditional approach, where the significant part of the protocol stack is hidden within the black-box of one manufacturer, is expected to be replaced by the opened architecture. Within that concept the base stations are split into several functional units, with open interfaces between them including Central Unit (CU), Distributed Unit (DU), and Radio Unit (RU).

The Open RAN, known as “O-RAN” is defined by O-RAN Alliance, an entity, which mission is “to re-shape the RAN industry towards more intelligent, open, virtualized and fully interoperable mobile networks”. The overall idea is that the functional entities can be developed by different vendors due to the open interfaces between them (including Open Fronthaul). In addition, the control of the RAN is given to the external entity, called RAN Intelligent Controller (RIC), which allows to perform optimization of the radio resources, procedures and the radio network using 3rd party applications (called xApps or rApps). Due to the above, the mobile telecommunications market is subject to ongoing change towards segmentation of the ecosystem, including CU, DU, RU vendors, Non-RT and Near-RT RIC vendors, xApp/rApp providers, platform vendors, or system integrators.

The RAN Intelligent Controller is split onto two entities and manages near-real-time (near-RT) and non-real-time (non-RT) control loops respectively. In consequence, the philosophy of network design will be changed significantly – future base stations will rely on Artificial Intelligence/Machine Learning (AI/ML) processing engine, on top of which the numerous functional applications will be installed and may be delivered as third-party applications. Such breaking change will have a dominant impact on the design of significant algorithms (such as radio resource management, interference management, traffic steering, SON-like functions, etc.), typically applied in wireless communication networks, as the requirements on software reliability, isolation as well as cross-layer dependence have to be sufficiently managed. On top of this, those algorithms (in the form of xApps/rApps) can be tailored to specific use cases, including e.g., specialized Internet-of-Things (IoT), Vehicular-to-Anything (V2X) or Uncrewed-Aerial-Vehicle (UAV) applications, which makes the whole concept very flexible. In this concept, Artificial Intelligence is natively supported to allow radio network automation, which is especially important in the heterogeneous networks composed of multiple layers and radio access technologies, especially deployed for various segments of IoT applications.

This session will cover both, research directions and technology commercialization in the area of Open Radio Access Networks for the 6G era. The invited speakers will share current views on the future evolution of the currently standardized Open RAN networks and potential roadblocks for wide-scale adoption of this concept, while on the other end, the discussion shall focus on the potential of the native incorporation of open-RAN-like design within 6G cellular systems.

During the session, 4-5 invited speakers from the industry, open-source organizations and academic community will share their views, which will include the following topics:
  • Current state of trials and commercial deployments of Open-RAN networks
  • Applicability of the Open RAN networks for IoT-type networks, vertical industries or Private Networks
  • Open-RAN-related research topics
  • Open-RAN integration aspects
We believe that the Open RAN concept is one of the significant development directions leading, in the end, for the new definition of wireless access networks, which prospectively will have a direct impact on the 6G system definition. As high entity modularization and openness of interfaces change the whole wireless network ecosystem, our motivation in this session is to provide the audience with recent achievements in this domain.

Chairs

 Dr. Marcin Dryjański, Co-founder, Chairman and CEO for Rimedo Labs (PL)

Marcin Dryjański received his Ph.D. from the Poznan University of Technology in September 2019. Over the past 15 years, Marcin served as an R&D engineer and consultant, technical trainer, technical leader, consultant, advisor, and board member. Marcin has been involved in 5G design since 2012 when he was a work-package leader in the FP7 5GNOW project. Since 2018, he is a Senior IEEE Member. He is a co-author of many articles on 5G and LTE-Advanced Pro and a co-author of the book „From LTE to LTE-Advanced Pro and 5G” (M. Rahnema, M. Dryjanski, Artech House 2017). From October 2014 to October 2017, he was an external consultant at Huawei Technologies Sweden AB, working on algorithms and architecture of the RAN network for LTE-Advanced Pro and 5G systems. Currently, he serves as CEO and Principal Consultant at Rimedo Labs, a spinoff of the Poznan University of Technology delivering advanced software solutions and technical consulting in the area of Open RAN.

 

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Session 4: Fog/Edge Computing

Abstract

As a key driver that boosts AI development, big data has recently gone through a radical shift of data source from the mega-scale cloud datacenters to the increasingly widespread end devices, e.g., mobile devices and IoT devices. Traditionally, big data, such as online shopping records, social media contents and business informatics, were mainly born and stored at mega-scale datacenters. However, with the proliferation of mobile computing and IoT, the trend is descending to the network edge. In particular, 5G and beyond will connect the next wave of smart devices, resulting in exponential growth of data at the edge. Clearly, via machine learning over the huge volumes of data at the edge devices, the edge ecosystem has great potential to create many novel application scenarios for AI and fuel the continuous booming of AI.

Pushing the AI frontier to the edge ecosystem that resides at the last mile of the Internet is highly non-trivial, due to the concerns on performance, cost and privacy. The conventional wisdom is to transport the data bulks from the IoT devices to the cloud datacenters for analytics. However, when moving a tremendous amount of data across the wide-area-network (WAN), both monetary cost and transmission delay can be prohibitively high, and the privacy leakage can also be a major concern. An alternative is on-device analytics that run AI applications on the device to process the IoT data locally, which, however, may suffer from poor performance and energy efficiency. This is because many AI applications require high computational power that greatly outweighs the capacity of resource- and energy-constrained IoT devices. To address the above challenges, edge computing has recently been proposed, which pushes cloud services from the network core to the network edges that are in closer proximity to IoT devices and data sources. Specifically, edge computing please compute and storage resources within the telco network infrastructure, thereby eliminating any backhaul latency associated with central data centers. Topics of interest include but are not limited to the following:
  • Fundamental limits of edge learning
  • Wireless network optimization for improving the performance of edge learning
  • Data compression for edge learning
  • Adaptive transmission for edge learning
  • Energy efficiency of implementing machine learning over wireless edge networks
  • Ultra-low latency edge learning
  • Multi-agent reinforcement learning for intelligent network control and optimization
  • Network architectures and communication protocols for edge learning
  • Experimental testbeds and techniques of edge learning
  • Privacy and security issues of edge learning
We expect that all of conference attendees will be able to understand the enabling value of Edge Computing and 5G, and its technology implementation & commercialization for next generation IoT services and applications.

Chairs

 Dr. Junshan Zhang

 

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Session 5: Intelligent Full-Duplex Technology and Services

Abstract

After a lot of theoretical work and practical R&D in universities, institutes and companies, the co-frequency co-time full duplex (CCFD) techniques have eventually come onto the stage of the standardization in 5G-R18, which marks the maturity of some key technologies at least and pushes the research results to be integrated in products at the commercialization. It is expected that the momentum of the further developments of the new technique and its combination with other advanced technology keeps growing, because of the potential to double the spectrum efficiency by simultaneously transmitting and receiving wireless signals at the same frequency and the same time. Actually, the 5G standard extends its system to accept CCFD as a new dimension for providing the more efficient services to the mobile communication, especially to the small cell and Fog network. In addition, using the CCFD technique to the physical layer security can be also expected when the self-interference is changed to the artificial noise for preventing the communication massage from the Eve’s detections.

So far, the experts over the world are making efforts to build up the paradigm to handle the fast booming data in types of the vertical services, which use the CCFD methods to promote the services of V2V communication and m-healthcare as well.

In prospective of the CCFD research, cancellation of the self interference is still a tough work for the application over a long distance. The designs of the multiple antenna, RF- and digital canceller require the sophisticate techniques upon the considerations of the applications. On the one side, the use of the advance promises the system’s improvement. While, on the other hand, the specified service brings the technical demands the R&D to meet. Hence, it is necessary to get the people, working in different areas, together on the joint discussions for sharing their contributions in the technical development and system design.

Since the potentials of the CCFD are needed to be exploited further in several aspects mentioned above, this panel invites the experts to talk about the latest the original ideas, techniques, applications and system integrations. The detailed discussions on the standards and protocols for the implementations are also welcome.

The participations of CCFD in the advanced systems will be definitely necessary to the 5G services including the IoT services. To this end, 4 to 5 experts will be invited for giving the presentations in this 2 hour-session on the following issues, but not limited.
  • The advanced techniques of CCFD
  • The applications of CCFD to Fog network, small cell and V2V
  • The extension of CCFD to physical layer security
  • The combination of CCFD with Machine learning
  • CCFD-enabled Intelligent IoT Services

Chairs

 Dr. Bingli Jiao, Peking University

Bingli Jiao (Senior Member, IEEE) is the Director of the Wireless Communication and Signal Processing Research Center, Peking University. He is also the Director of the engineering center of digital hospital of Chinese Education Ministry. In 2006, he filed a patent entitled by “the interference cancellation for co-frequency co time slot duplex” and have carried out the profound R&D in this area till now. He published more than 150 papers, among them more than 50 papers are published in IEEE journals.