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There is rejuvenated interest in satellite communications & networking. Both the satellite and 3GPP industries aim at developing a seamlessly integrated one network. One main difference between the legacy satellite systems and the mega-constellations of the 6G era satellite system is the networking aspect with very high-speed inter-satellite links. For efficient operation, the network will have to be autonomous, intelligent, resilient, self-organizing & self-controlling to reduce the cost and risk of human intervention. Distributed decision making, fault recovery, resilience, and scalability are among the important features. These networks will rely on AI techniques at all levels: Ground operations, on-board operations, inter-satellite and satellite-to-ground links. The satellite mega-constellations in the 6G era will create unprecedented opportunities once the unprecedented challenges are addressed by the research community.
In this workshop, the covered topics include but are not limited to THz transceivers, antennas and antenna arrays; information theoretic analysis of THz communication systems, THz channel modeling, estimation and equalization techniques; ultra-broadband modulation and waveform design; beamforming, precoding and space-time coding schemes; MAC design and interference management; relaying and routing in ultra- broadband networks; system-level modeling and experimental platforms and demonstrations.
5G networks will deploy many new network services such as ultra-reliable low latency (uRLLC), massive Machine-type communications (mMTC), enhance Mobile Broadband (eMBB) and provide support for massive IoT (mIoT). These in turns will significantly impact how industrial networks are deployed, managed and operated. Industrial networks have evolved from serial bus towards more complex systems, and are converging towards IT. These are networks with specific protocols, constraints and requirements. Currently, the main protocols are EtherNet/IP, Profinet, EtherCAT, Powerlink, Modbus-TCP and others. However, wireless industrial networks are becoming more and more deployed, growing 30% year on year over the last few years. This evolution will only accelerate when 5G will be deployed. Industrial networks have stringent requirements in scale, delays, security and amount of bandwidth. We aim to explore how such diverse and wide range of applications can collectively bring new ideas and research in industrial networks & inter-networking technologies in protocols, architectures, security, and algorithms. This workshop aims to look at a set of problems from the key aspects mentioned above: new services, new routing and addressing methods, new infrastructures, new security mechanisms, mechanisms for scaling massive IoT networks, mechanisms for resiliency, and other aspects of large-scale industrial networks.
Future wireless systems will require a paradigm shift in how they are networked, organized, configured, optimized, and recovered automatically, based on their operating situations. Emerging Internet of Things (IoT) and Cyber-Physical Systems (CPS) applications aim to bring people, data, processes, and things together, to fulfill the needs of our everyday lives. With the emergence of software defined networks, adaptive services and applications are gaining much attention since they allow automatic configuration of devices and their parameters, systems, and services to the user's context change. It is expected that upcoming Fifth Generation and Beyond (5G&B) wireless networks, known as more than an extension to 4G, will be the backbone of IoT and CPS, and will support IoT systems by expanding their coverage, reducing latency and enhancing data rate. However, there are several challenges to be addressed to provide resilient connections supporting the massive number of often resource-constrained IoT and other wireless devices. Hence, due to several unique features of emerging applications, such as low latency, low cost, low energy consumption, resilient and reliable connections, traditional communication protocols and techniques are not suitable.
5G networks and devices are now a reality with wide deployment and spread among population, but the demand for more data rate is still booming, and will soon need for a newer generation for wireless/cellular communication, the 6G. It will be a new standard that not only provides huge data rate (+1Tbps) and extremely low delay (0.1ms), but also will enable the “hyper-connected” paradigm that will connect users and things. Artificial Intelligence (AI) will play a major role within 6G, and thus more computation and communication resources will be consumed, where their optimization is a must. 6G communications will bring new challenges due to their sensitivity to scenario conditions, thereby requiring highly adaptive techniques that will adapt extremely fast, in order to guarantee a delay less than 100 microseconds. Spectrum and resources management will be crucial within 6G in order to account for the extremely heterogeneous scenario. The networks complexity will also be unprecedented, due to the very diverse applications such as ultra‐low latency requirements for critical vehicle communication, the growing demand of high positioning accuracy for location‐based services, and dense heterogeneous architectures. Several emerging topics are encountered within 6G and this workshop will focus on such emerging topics, and potential solutions will be presented. Researchers and engineers from academia and industry are invited to submit their recent results and innovations.
Traditional machine learning tends to be centralized in nature (e.g., in the cloud). However, security and privacy concerns as well as the availability of abundant data and computational resources in wireless networks motivate moving learning algorithms deployed on mobile networks towards the network edge. This has led to the emergence of the rapidly growing area of (mobile) edge learning, which integrates two originally decoupled areas: wireless communication and machine learning. It is widely expected that the advancements in edge learning will provide a platform for implementing edge artificial intelligence (AI) in 5G-and-Beyond systems and supporting large-scale problems ranging from autonomous driving to personalized healthcare. Thus, this proposed full-day workshop will seek to bring together researchers and experts from academia, industry, and governmental agencies to discuss and promote the research and development needed to overcome the major challenges that pertain to this cutting-edge research topic.
5G networks and devices are now a reality with wide deployment and spread among population, but the demand for more data rate is still booming, and will soon need for a newer generation for wireless/cellular communication, the 6G. It will be a new standard that not only provides huge data rate (+1Tbps) and extremely low delay (0.1ms), but also will enable the “hyper-connected” paradigm that will connect users and things. Artificial Intelligence (AI) will play a major role within 6G, and thus more computation and communication resources will be consumed, where their optimization is a must. 6G communications will bring new challenges due to their sensitivity to scenario conditions, thereby requiring highly adaptive techniques that will adapt extremely fast, in order to guarantee a delay less than 100 microseconds. Spectrum and resources management will be crucial within 6G in order to account for the extremely heterogeneous scenario. The networks complexity will also be unprecedented, due to the very diverse applications such as ultra‐low latency requirements for critical vehicle communication, the growing demand of high positioning accuracy for location‐based services, and dense heterogeneous architectures. Several emerging topics are encountered within 6G and this workshop will focus on such emerging topics, and potential solutions will be presented. Researchers and engineers from academia and industry are invited to submit their recent results and innovations.
There is rejuvenated interest in satellite communications & networking. Both the satellite and 3GPP industries aim at developing a seamlessly integrated one network. One main difference between the legacy satellite systems and the mega-constellations of the 6G era satellite system is the networking aspect with very high-speed inter-satellite links. For efficient operation, the network will have to be autonomous, intelligent, resilient, self-organizing & self-controlling to reduce the cost and risk of human intervention. Distributed decision making, fault recovery, resilience, and scalability are among the important features. These networks will rely on AI techniques at all levels: Ground operations, on-board operations, inter-satellite and satellite-to-ground links. The satellite mega-constellations in the 6G era will create unprecedented opportunities once the unprecedented challenges are addressed by the research community.
This Workshop focuses on applying AI technologies to deal with the networks and/or systems, particularly the machine learning techniques that are based on empirical or simulated data
Demanded by the industrial applications, 5G has promised to support integration with the wired industrial ethernet especially the Time Sensitive Networking (TSN). However, there are still major gaps to truly provide a wireless equiva
We are happy to announce the organization of the first edition of the IEEE ICC workshop: Towards Standardized Secured IoT B5G networking - Artificial Intelligence and Blockchain (AB-SIoT). This workshop will solicit original work targeting beyond 5G (B5G) networking, focusing on research work addressing Artificial Intelligence (AI) and Blockchain, and the integration of both. To add to the practicality of the presented work and have a more interesting fruitful discussion, the workshop will include an interactive session, where experimental testbeds and practical showcases can be demonstrated. The scope of the workshop is detailed below. 5G and massive Internet of Things (IoT) are finally here. While 5G networks will serve as the broadband backbones, IoT will bombard killer applications with the inclusion of smart sensors. The essence of smart city development typically starts from the aggregation of slower data rate through LPWAN, before being sent via 5G/B5G to the server for analysis. There will be ample room for data analytics and new challenges need to be tackled. Will the data be secured during transmission? Will the data be securely recorded? How do we provide confidentiality, integrity and availability in the IoT world? The IoT world is rather new, do we have any best practices and standards on the smart sensors? It seems not quite the case at this point. When there are not sufficient regulations in the smart sensor realm, in what way should we provide the required security level agreements? What is the meaning of service level in the B5G-IoT new era? There is much room for our exploration. Research has already started on beyond 5G (B5G), which will shape future networking, especially towards 2030. Many research funding tools are targeting ideas for B5G, towards 2030 and after. For instance, in Europe, there is EU H2020 ICT-52-2020 Smart Connectivity beyond 5G. The amazing IoT development offers a smart high-level concept for integrating physical and cyber objects. In the coming decade, there will be hundreds of billions of IoT connections. It is inevitable that IoT will find applications in all walks of our lives, spanning energy management, healthcare, transportation, and fin-tech, to name a few. Nonetheless, the intrinsic uncoordinated frequency band and the ever-growing IoT market may pose various critical challenges on public safety, cybersecurity and data privacy. To facilitate IoT best practices, various international and industrial standards should be brought to the scene. These include, but are not limited to, IEEE P2668*, IEEE 1451 family, ISO 27k family, General Data Protection Regulation (GDPR), etc. (*P2668: https://standards.ieee.org/project/2668.html) 5G networks have been designed with intelligence, autonomy and flexibility in mind. Future B5G systems are expected to extend those properties even further. Hence, artificial intelligence (AI) will be in the heart of B5G networking. New foreseen applications and verticals will further push the burdens on privacy and security requirements. Blockchain is an emerging disruptive technology that was initially envisioned for crypto-currency, but since then has been widely adopted for its groundbreaking capabilities that can offer security, privacy, in addition to added reliability to networking. The future IoT B5G network is thus envisioned to widely adopt these two stepping-stone research building blocks, towards providing reliable, flexible, secured, high performance and resilient IoT networking, to fulfill high demands of current and future IoT applications and verticals. This workshop specifically targets future networks of IoT B5G, mainly embracing AI and blockchain. The workshop also solicits papers addressing new ideas, standards, best practices, and innovative applications of IoT, including industrial IoT (IIoT), which will be adopted in the future, and their new requirements. The workshop will pay special attention to efforts integrating both areas, especially those contributing to the standardization of IoT devices, their applications, and the assessment of IoT devices, by proposing methods for grading and ranking of IoT devices in line with IEEE P2668*.
KJ Liu VP of Smart City Integrated Solution, Askey Computer 30 year ITC Experience, focused on 5G, AI, IoT, Big Data, Cloud Computing, VR/AR, UAV, ... Askey Computer, VP of Smart City Integrated Solution. Asus Cloud, Chief Marketing Officer. Cloudena Technology, Founder/CEO, fund raised 6M USD, located in Taipei, offering cloud solutions, cloud storage, and services. Saico Technology, Co-founder/VP Sales, fund raised 8M USD, located in Shanghai, offering cloud solutions and services. CipherMax Technology, Co-funder/VP Sales/Finance and Asia GM, located in San Jose, fund raised 145M USD, offering cloud storage , security solutions and services. Education Background: Santa Clara University, Santa Clara, CA, USA - MBA, December 1998Focuses: Marketing and Finance Clemson University, Clemson, SC, USA - MSEE, June 1984 Consultant & Board Director: TSSA, Overseas Promotion, SIG Chairperson Taiwan Green Industry Alliance, BoD VR AT Taiwan Alliance, BoD Asia IoT Alliance, BoD
RAN (Radio Access Networks) become increasingly complex with the advent of 5G by flexible network architecture, discrete frequencies, densification and richer demanding applications. To tame this complexity, traditional human designed ways of deploying, optimizing and operating a network lead to pretty high TCO (Total Cost Of Owners) and gets very low ROI (Return of Investment). The fast development of AI/ML technologies obviously influenced and changed the world (including traditional telecom industry) a lot in the recent years, leveraging AI/ML based technologies to build self-driving networks to reduce OPEX and increase network gains becomes possible and essentially the expanded eco-system may bring to new business model as well. The expanded RAN eco-system with AI/ML, IT (Information Technology), CT (Communication Technology) and DT (Data Technology) industry players have worked closely to leverage emerging deep learning techniques to enable intelligence in every layer of the RAN architecture. In this Industry forum, we will bring industry leaders and experts who are driving and leading the RAN intelligence development to share their key findings, challenges and future directions with the Globecom 2020 audience, these experts’ companies play diverse roles in the RAN intelligence eco-system thus we expect they will share lots of useful information to form an overall technical picture of RAN intelligence. It is also expected to leverage this interactive communication chance to gather feedback from Globecom 2020 audience and also broaden the RAN intelligence eco-system.
The networking landscape is expected to undergo profound changes over the course of the next decade. New networking use cases such as tele-driving and tele-operations are emerging that require high-precision communications with stringent latency and loss objectives that cannot be met by current technology. Pressure is mounting on industrial networks, up to this point a bastion from Internet technology, to converge. At the same time, other forces are becoming more pronounced, such as the “Manynets” phenomenon, which is beginning to fragment the existing Internet, and concerns about the increasing ossification of the Internet, which slows down the ability to innovate inside the network when the pace for needed innovation is actually accelerating. Considering all this, recent proposals for a “New IP” have emerged that suggest defining new solutions for IP networking. What sets these proposals apart is that they are aimed at Layer 3, the core layer of the Internet, not simply the transport or application layer. They claim that innovation at the IP layer is required to address the root of the issues that need to be confronted to unleash a new wave of Internet innovation. This, in turn, has been met with fierce resistance from the IETF and its governing body, the Internet Society, who as guardians of IP object to any proposals that put into question the “thin waist” defined by IP in the hourglass structure of the Internet protocol stack, and who claim that innovation outside IP itself will in fact be sufficient to meet emerging networking challenges. The panel will examine the issues underlying this controversy and panelists will represent the different sides of the argument. Specifically, panelists will debate whether network innovation inside IP itself needs to occur or whether work at other networking layers will be enough to address newly emerging challenges and issues that emerging applications are faced with.
William Xu Director of Board, President of the Institute of Strategy Research, Huawei William Xu was born in Changzhou, Jiangsu Province in 1963. He was admitted to the Department of Automatic Control of Nanjing Institute of Technology in 1980, and received a bachelor's degree from Nanjing Institute of Technology and a master's from Southeast University. He joined Huawei in 1991, and currently serves as Huawei's Director of the Board and President of the Institute of Strategic Research. Mr. Xu has served as Huawei's President of Research, President of R&D, President of the European Area, President of HiSilicon, Chief Sales & Service Officer, CEO of the Enterprise BG, and Chairman of the Investment Review Board. He has achieved many great things in product R&D, marketing, strategy development, and market presence planning, all of which have contributed to Huawei's leading position in the world. Mr. Xu is a strategy scientist with an international outlook and extensive experience of success in the industry. He displays outstanding strategic thinking during high-level design, has global influence, and is capable of guiding industry development. Mr. Xu has an extensive scientific and technical background and has led Huawei's product and technology R&D for many years, as well as being responsible for work related to chip design, general technology, and research. He led the development of Huawei's first generation of public program-controlled switches, and oversaw the design of the company's first chip and the establishment of the chip design center – the predecessor to HiSilicon. In addition, he has substantial market insights and deep knowledge of industry trends, supports the translation of research results into industry applications, creates new markets, and leads industry development. He has led Huawei into the Innovation 2.0 era, which is a shift from engineering and technical innovation (from 1 to N) to theoretical breakthroughs and technical inventions (from 0 to 1). As the President of the Institute of Strategy Research, Mr. Xu is responsible for Huawei's basic research and cutting-edge technology research, as well as collaboration with over 300 universities around the world. Mr. Xu directs future-oriented research into basic, cutting-edge, and disruptive technologies that will help overcome worldwide technological challenges in photonic computing, free-electron laser, naked-eye 3D, and healthcare. This research will guarantee Huawei's presence in these technology fields over the next 5–10 years, fill Huawei's gaps, and enhance Huawei's strengths, preventing the company from losing its way or missing out on future opportunities. Currently, Mr. Xu is committed to innovations related to next-generation optical computing, optical transmission, and new display technologies, such as optical switch matrix operations, few-mode multicore fiber transmission, and light field displays based on micro- and nano-grating. These innovations aim to achieve the creation of large-scale, high-speed optical computing chips, ultra-large-capacity optical transmission technology, and next-generation naked-eye 3D display technology. Mr. Xu's team is collaborating with global universities and research institutes on 18 projects. Their work covers theories, structure design, system encapsulation, and prototype implementation that will enhance Huawei's research and presence in strategic technologies over the next 5–10 years.
Jamie Lin President, Taiwan Mobile Jamie now serves as President at Taiwan Mobile and Chairman & Partner at AppWorks, the Greater Southeast Asia leading startup accelerator and venture capital firm founded by Jamie in 2009. Taiwan Mobile and AppWorks formed a strategic alliance in January 2019, resulting in Jamie taking over as the President of Taiwan Mobile. Before Taiwan Mobile and AppWorks, Jamie was an entrepreneur. In 1999, he co-founded Hotcool.com that eventually evolved into Intumit, a successful AI software-as-a-service company. In 2006, he co-founded Sosauce.com that evolved into Muse Games. He received his BS in Engineering from National Taiwan University and an MBA from NYU Stern. His blog, MR JAMIE, has provided inspiration to millions of readers in the startup community since 2009. Education: MBA, NYU Stern School of Business BS Engineering, National Taiwan University Notable Additional Positions: Chairman & Partner, AppWorks Director, momo.com Executive Director, Taiwan Internet and E-commerce Association (TiEA)
This panel aims at discussing the key drivers and technology trends being envisaged for future wireless networks (2030). The European Union and United States of America have both started their own research programmes with the objective to lead the evolution towards next generation wireless networks. Although the objective is the same, the European and USA approaches seem to differ significantly in inception and execution.Members of this panel include an industrial thought leader (Alain Mourad) from Interdigital, who is involved in both USA and European wireless research programmes and knows from first-hand the advantages and disadvantages of each approach. Serge Fdida, coordinator of the EMPOWER project has a long experience on the management of shared experimental platforms, especially as coordinator of the federated OneLab facility, the FIT French research infrastructure or the PlanetLab Europe testbed. Finally, Abhimanyu Gosain, as technical programme director of the PAWR office is the key person regarding the North American advanced wireless research platforms. This panel aims at discussing a mix of market and technology questions such as: What are the key drivers; technical and societal, influencing research programmes towards 6G? What are the key technology trends in the wireless system and in the network? How are different countries, noticeably in EU and USA approaching the research towards 6G? Is the role of experimental research becoming more or less important? What makes the case to strengthen cooperation on the research platforms? How the costs of such platforms should be shared between public and private organizations? Do we see the need for a different governance model of these research platforms than what we are used to? How should non-traditional partner requirements (e.g. from Vertical Industries) be incorporated in future experimental wireless research platforms? What needs to be done to ensure large participation and use of these research platforms? How do we ensure reproducibility of the experiments? What models for experimental data sharing and governance need to be considered?
Dr. Jay Lee is Ohio Eminent Scholar, L.W. Scott Alter Chair Professor, and Univ. Distinguished Professor and is founding director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems which consists of the Univ. of Cincinnati (lead institution), the Univ. of Michigan, and the Univ. of Texas-Austin. Since its inception in 2001, the Center has been supported by over 100 global companies. The IMS Center was selected as the most economically impactful I/UCRC in the NSF Economic Impact Study Report in 2012. He has mentored his students and developed a number of start-up companies including Predictronics (a start-up company from NSF IMS Center of the Univ. of Cincinnati through NSF ICorp award in 2012), etc. He has also advised his students to win the 1st Place PHM Data Challenges five time out of nine competitions since 2008. In addition, he is the Founding Director of Industrial AI Center. Currently, he is on leave from Univ. of Cincinnati to serve as Vice Chairman and Board Member of Foxconn Technology Group. He also serves as a member of Board of Governors of the Manufacturing Executive Leadership Council of National Association of Manufacturers (NAM), as well as a member of the Global Future Council on Advanced Manufacturing and Production of the World Economics Council (WEF) to engage the global leaders for the development of collaborative activities in smart manufacturing. Previously, he served as senior advisor to McKinsey & Company. Prior to his academic career, he served as Director for Product Development and Manufacturing at United Technologies Research Center (UTRC) as well as Program Directors for a number of programs at NSF including the Engineering Research Centers (ERC) Program, the Industry/University Cooperative Research Centers (I/UCRC) Program, and Materials Processing, and Manufacturing Program at the Design, Manufacture, and Industrial Innovation Division, etc., He is a fellow of ASME, SME, PHM (Prognostics and Health Management), as well as a founding fellow of International Society of Engineering Asset Management (ISEAM). He is a frequently invited speaker and has delivered over 270 keynote and plenary speeches at major international conferences He has received a number of awards including the Prognostics Innovation Award at NI Week by National Instruments in 2012, NSF Alex Schwarzkopf Technological Innovation Prize in 2014, MFPT (Machinery Failure Prevention Technology Society) Jack Frarey Award in 2014, and PICMET Medal of Excellence in 2016. He was selected as 30 Visionaries in Smart Manufacturing in by SME in Jan. 2016 and 20 most influential professors in Smart Manufacturing in June 2020.
David Tse is the Thomas Kailath and Guanghan Xu Professor in the School of Engineering at Stanford University. He is a member of the U.S. National Academy of Engineering. He received the 2017 Claude E. Shannon Award and the 2019 IEEE Richard W. Hamming Medal. He is the inventor of the proportional-fair scheduling algorithm, used in all modern-day cellular systems serving 3 billion subscribers around the world. His research interests are in information theory, blockchains and machine learning.
Muriel Médard is the Cecil H. Green Professor in the Electrical Engineering and Computer Science (EECS) Department at MIT and leads the Network Coding and Reliable Communications Group at the Research Laboratory for Electronics at MIT.She has served as editor for many publications of the Institute of Electrical and Electronics Engineers (IEEE), of which she was elected Fellow, and she has served as Editor in Chief of the IEEE Journal on Selected Areas in Communications. She was President of the IEEE Information Theory Society in 2012, and served on its board of governors for eleven years. She has served as technical program committee co-chair of many of the major conferences in information theory, communications and networking. She received the 2019 Best Paper award for IEEE Transactions on Network Science and Engineering, 2009 IEEE Communication Society and Information Theory Society Joint Paper Award, the 2009 William R. Bennett Prize in the Field of Communications Networking, the 2002 IEEE Leon K. Kirchmayer Prize Paper Award, the 2018 ACM SIGCOMM Test of Time Paper Award and several conference paper awards. She was co-winner of the MIT 2004 Harold E. Edgerton Faculty Achievement Award, received the 2013 EECS Graduate Student Association Mentor Award and served as undergraduate Faculty in Residence for seven years. In 2007 she was named a Gilbreth Lecturer by the U.S. National Academy of Engineering. She received the 2016 IEEE Vehicular Technology James Evans Avant Garde Award, the 2017 Aaron Wyner Distinguished Service Award from the IEEE Information Theory Society and the 2017 IEEE Communications Society Edwin Howard Armstrong Achievement Award. She is a member of the National Academy of Inventors. She was elected Member of the National Academy of Engineering in 2020.