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Federated Learning (FL) and Multi-agent Reinforcement Learning (MARL) are two emerging machine learning paradigms for future intelligent wireless IoT and networked systems. FL is a data-driven supervised machine learning setting where the centralized location trains a learning model by using remote devices (e.g., sensors, user devices). On the other hand, the decentralized MARL schemes, which are based on interactions of the learning agents with the environment, present suitable frameworks to solve decision and control problems considering the heterogeneity of IoT systems. In this talk, I shall discuss example applications and also the challenges of employing FL and MARL methods in resource-constrained and unreliable wireless IoT systems and networks. I shall present an FL algorithm that is suitable for a resource-constrained wireless access network and also a MARL method for a practical wireless edge computing environment. To this end, I shall discuss several of the key open research issues.
This talk is an attempt to answer the question “How can intelligent machines efficiently communicate?” which is one of the main goals of the so-called “Semantic Communication”. I will present a joint work with Daniel Bennequin which shows our progresses towards a mathematical theory of semantic communication, inspired by the foundational works of Claude Shannon and Alexander Grothendieck. To communicate efficiently we need a language. This language is intimately related to the goal or task that the semantic source has to follow. The second part of the presentation will be devoted to the Carnap and Bar-Hillel language. It will be shown on this example why a notion of semantic information measure cannot be a scalar quantity but a space. We will give some intuition on the construction of such spaces. Finally we will propose both semantic source coding and semantic channel coding theorems.
The 5G technology has dominated the research landscape for many years with strict KPIs requires that exceeds any previous generation. The industry took the lead for developing new innovative components that spans all over the network end-to-end. However, the 3GPP standards define a network that employs magnificent features for radio access, transport, core network, monitoring, etc. This is a network that resides over multi-cloud domains and fully automated to restructure in response to user demands and traffic changes. However, the 5G race has just began as vendors and solution providers are working hand to hand with operators to develop the necessary features that bring such a network into reality. This panel include experts from world leading operators and industries to identify what has been achieved so far and what is still to be done from production perspective. This panel will help both academic and industrial communities to prioritize their backlog for more focused effort towards the most needed solutions for 5G.
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.
The IEEE Communications Society History committee organized a special panel at IEEE GLOBECOM 2022 to celebrate the 70th anniversary of ComSoc. The panel featured well known individuals in communications technology as speakers who recognized communications leaders who had been instrumental in advancing communications and also ComSoc, but who had died in 2022. Looking at their lives and careers made communications technology come alive.
The use of MIMO and Massive MIMO is considered one the most disruptive and effective technologies introduced in recent years. For beyond 5G networks, the use of cell-free MIMO is being considered, which essentially means distributing the access points (AP) and doing the processing either locally or centrally. While many studies have considered spectral efficiency gains of various central or local processing methods, few publications consider the impact of the 5G architecture, and the NG-RAN, on the cell-free networking opportunities and challenges. The O-RAN alliance, initiated by some large operators and players in the telecom domain, aims to transform the radio access networks towards truly virtualized, distributed, and most importantly open systems. In an ideal world, multiple distributed O-RAN entities cooperate seamlessly to bring the best possible connectivity to each UE, cooperating through the O-RAN APIs. The key challenge that remains is how to merge cell-free networking, and distributed processing, with those existing network architectures. To exploit those distributed O-RAN entities optimally, and meet diverse requirements of future communication systems, beyond 5G intelligent networks will provide enhanced flexibility through the dynamic scheduling of the available resources. Given the densification of networks, and the introduction of cell-free architectures, the availability of radio access resources is unseen, and is only limited by the potential of the resource allocation methods. A major challenge is how to achieve this within standard and open architectures, such as for instance the O-RAN ALLIANCE. We will give a brief overview of the main academic trends in cell-free communication and radio resource management. We then describe how they will be mapped to NG-RAN and O-RAN terminology and architectures, giving a clear insight in the remaining challenges and innovation needs.
How to efficiently utilize the physically limited resource of spectrum has become a critical problem to solve in the 21st Century as wireless communications continues to grow exponentially, with wireless technology moving from 4G to 5G and the advent of the Internet of Things. In the US, the Federal Government is the largest single user of midband spectrum, so no serious solutions could be developed without full engagement with the FCC, DoD and NTIA. In-depth academic and industry discussions began with the Obama administration’s President’s Council of Advisors on Science and Technology, culminating in a report issued on July 20, 2012: Realizing the Full Potential of Government-Held Spectrum to Spur Economic Growth. The report concluded that the traditional practice of clearing and reallocating portions of the spectrum used by Federal agencies was not a sustainable model for spectrum policy, recommending that the best way to increase capacity was to leverage new technologies that enable large blocks of spectrum to be shared. In 2015 this led to the FCC adopting new rules for sharing spectrum in the 3.5 GHz band, naming the band Citizens Broadband Radio Service. Professor Reed was on the ground floor of turning the academic concept into an industry reality with the founding of Federated Wireless, laying the groundwork for developing one of the first Spectrum Access Systems that dynamically shares spectrum in real-time. Kurt Schaubach picked up the reigns at Federated Wireless, shepherding the product through the FCC/NTIA certification process and commercially launching the service in September 2019. Professor Reed and Mr. Schaubach will talk about this history and the lessons learned from government, academia and industry working together to solve an issue that goes beyond technology alone. Mr. Schaubach will also discuss the commercial success of CBRS and review how it has led to the global exploration of spectrum sharing as a viable and necessary option for efficient spectrum utilization. Both will discuss how the commercial opportunities for spectrum sharing may evolve over time.
The additive nature of today’s technology megatrends including 5G, AI, IOT, Edge Computing and the Cloud is fueling the need for computing and communications to converge into one intelligent, resilient and distributed networking fabric. In order to deliver broad economic and societal benefits, the industry continues to commercialize and evolve 5G - addressing the technical and use case needs of consumer, enterprise and industry verticals. Asha Keddy, Intel Corporate VP and GM of Next Generation & Standards, will present the latest 5G achievements; illuminate the continuing work to evolve 5G; and speak to the opportunities for industry to further explore the potential of 5G. Ms. Keddy will also speak to the fundamental importance of integrating computing and communications for wireless networks and share her thoughts on what comes beyond 5G - highlighting early candidate technology development areas as well as the industry, academic and government collaborations that are already underway.
Augmented reality user experiences are becoming more available to consumers through a diverse set of devices of various form factors like headsup displays, holographic displays, head mounted devices, and handheld devices. Today, nearly 80% of the world's population uses the compute power and connectivity on their smartphone to access the internet and connect to their network of people and things any time of the day, anywhere in the world. AR and spatial compute technology offer the possibility for users to be presented with additional information of the world (places, things, life) around them proactively without an explicit directed human query. In particular, the possible evolution of optical glasses worn by humans to include AR has the potential of eventually becoming a device of choice by majority users to be their source of infotainment, social connection, education, economy, health and other needs. While there are many issues to be solved to make this potential a reality, in this talk, we will go through some considerations and challenges to be met by technologists to make AR glasses a platform for users to enjoy AR experiences ubiquitously. We will explore various system-level optimizations that need to be done to deliver an intuitive, immersive, always-on AR experience everywhere. These system-level optimizations would include power consumption considerations on the AR glasses plus the connections to any companion devices on person and to the cloud where ultimately most of the information needed by the user lies.
As they implement new technologies, regulators around the world work within the limits and procedures referenced in the ITU Radio Regulations (RR), a set of international regulations by all ITU-R member states that govern the use of spectrum by existing and emerging wireless technologies. However, the RR do not encompass every new technological concepts. And, as a result, adapting new technologies and concepts to work within the limits and procedures of outlined in the RR is not always straightforward. The use of active antennas, in which transmitters are integrated with the radiating structure, is one such topic. Over the past couple of years, the ITU-R has been discussing how to apply conducted power limits to 5G transmitters using active antennas. The variance in the interpretations being debated is such that there could be quite a significant adverse impact on the deployment, operation, and performance of 5G stations. This challenge would only grow due to the trend in 5G/6G towards larger active arrays with potentially hundreds of transmitters. It is crucial to consider what these regulatory limits are, both in letter and spirit, how they have been used in the past, what impact the new interpretations could have, and in what ways they can accommodate multi-antenna and other new technologies.
As hordes of data-hungry devices challenge its current capabilities, Wi-Fi strikes again with 802.11be, alias Wi-Fi 7. This brand-new amendment promises a (r)evolution of unlicensed wireless connectivity as we know it, unlocking access to gigabit, reliable and low-latency communications, and reinventing manufacturing and social interaction through digital augmentation. More than that, time-sensitive networking protocols are being put forth with the overarching goal of making wireless the new wired. With its standardization process being consolidated, we will provide an updated digest of 802.11be essential features, place the spotlight on some of the must-haves for critical and delay-sensitive applications, and illustrate their benefits through standard-compliant simulations.