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How to efficiently and accurately predict the channel impulse response (CIR) is crucial to wireless communications. In this talk, we first briefly discuss the prevailing learning-based approaches and the key problems involved. Then we introduce our work on the CIR representation and prediction with only the user's position information and a set of channel instances obtained within a certain wireless communication environment. Specifically, we resort to a novel physics-inspired generative approach to design the learning network, which makes use of the physical model of EM-wave reflections along each path and the excellent properties of the Gaussian Radial Basis Function network (GRBF) and sinusoidal representation network (SIREN) in predicting the path amplitude and phase respectively. We also discuss how to extend to the resultant learning architecture to the MIMO case and how to apply it to mobile channel prediction.
Connected Health: Challenges and Solutions for Successful Adoption What are the challenges we face in the introduction and especially the adoption of connected health innovation? Give concrete examples of challenges and solutions tested (both successfully and unsuccessfully) for successful integration and adoption (postponement of challenges and solutions experienced during COVID)
As Wi-Fi "strikes again" with 802.11be, this forum will host a discussion on its evolution, the ongoing 802.11be standardization, the opportunities created by the progressive adoption of the 6 GHz spectrum, and the increased interest in supporting not only higher capacity but also reliable and low latency applications using Wi-Fi. Experts from industry and academia will share their experience in driving standard and product development, spectrum and technology regulations, and research visions.
"Unmanned aerial vehicles (UAVs) have found fast growing applications during the past few years. As such, it is imperative to develop innovative communication technologies for supporting reliable UAV command and control (C&C), as well as mission-related payload communication. However, traditional UAV systems mainly rely on the simple direct communication between the UAV and the ground pilot over unlicensed spectrum (e.g., ISM 2.4GHz), which is typically of low data rate, unreliable, insecure, vulnerable to interference, difficult to legitimately monitor and manage, and can only operate within the visual line of sight (LoS) range. To overcome the above limitations, there has been significant interest in integrating UAVs into cellular communication systems. On the one hand, UAVs with their own missions could be connected into cellular networks as new aerial users. Thanks to the advanced cellular technologies and almost ubiquitous accessibility of cellular networks, cellular-connected UAVs are expected to achieve orders-of-magnitude performance improvement over the existing point-to-point UAV communications. It also offers an effective option to strengthen the legitimate UAV monitoring and management, and achieve more robust UAV navigation by utilizing cellular signals as a complement to GPS (Global Position System). On the other hand, dedicated UAVs could be deployed as aerial base stations (BSs), access points (APs), or relays, to assist terrestrial wireless communications from the sky, leading to another paradigm known as UAV-assisted communications. UAV-assisted communications have several promising advantages, such as the ability to facilitate on-demand deployment, high flexibility in network reconfiguration, high chance of having LoS communication links, and enable numerous applications such as BS traffic offloading, information dissemination and collection for Internet of Things (IoTs). UAV communications are significantly different from conventional communication systems, due to the high altitude and high mobility of UAVs, the unique channel of UAV-ground links, the asymmetric quality of service (QoS) requirements for downlink C&C and uplink mission-related data transmission, the stringent constraints imposed by the size, weight, and power (SWAP) limitations of UAVs, as well as the additional design degrees of freedom enabled by joint UAV mobility control and communication resource allocation."
This workshop aims at bringing together academic and industrial researchers in an effort to identify and discuss the major technical challenges, recent breakthroughs, and new applications related to OTFS.
Orbital Angular Momentum (OAM) is regarded as one of the potential key technologies for B5G and 6G mobile communications. No matter in the optical transmission or the radio wave transmission, OAM has been concerned as a new dimension (or a degree of freedom) which can provide additional multiplexing and higher spectrum efficiency, e.g. Tbps data rate is aimed with OAM channels multiplexed in the free space backhaul transmission and Pbps data rate is aimed in the optical fiber with OAM mode division multiplexing. In addition, the theoretical study of OAM has already been engaged in the quantum mechanics for a long time. Many researches in the vortex electron show the promising technology in OAM photon radiation and reception, e.g., relativistic electron cyclotron radiation and electron cyclotron masers. Therefore, the 3rd workshop on OAM transmission in ICC 2021 will focus on both the detailed physical theories of OAM and applications in wireless communications. The workshop is expected to be held with the discussion of the state-of-the-art research on OAM transmission and the promising future application
Unmanned aerial vehicles (UAVs) have found fast growing applications during the past few years. As such, it is imperative to develop innovative communication technologies for supporting reliable UAV command and control (C&C), as well as mission-related payload communication. However, traditional UAV systems mainly rely on the simple direct communication between the UAV and the ground pilot over unlicensed spectrum (e.g., ISM 2.4GHz), which is typically of low data rate, unreliable, insecure, vulnerable to interference, difficult to legitimately monitor and manage, and can only operate within the visual line of sight (LoS) range. To overcome the above limitations, there has been significant interest in integrating UAVs into cellular communication systems. On the one hand, UAVs with their own missions could be connected into cellular networks as new aerial users. Thanks to the advanced cellular technologies and almost ubiquitous accessibility of cellular networks, cellular-connected UAVs are expected to achieve orders-of-magnitude performance improvement over the existing point-to-point UAV communications. It also offers an effective option to strengthen the legitimate UAV monitoring and management, and achieve more robust UAV navigation by utilizing cellular signals as a complement to GPS (Global Position System). On the other hand, dedicated UAVs could be deployed as aerial base stations (BSs), access points (APs), or relays, to assist terrestrial wireless communications from the sky, leading to another paradigm known as UAV-assisted communications. UAV-assisted communications have several promising advantages, such as the ability to facilitate on-demand deployment, high flexibility in network reconfiguration, high chance of having LoS communication links, and enable numerous applications such as BS traffic offloading, information dissemination and collection for Internet of Things (IoTs). UAV communications are significantly different from conventional communication systems, due to the high altitude and high mobility of UAVs, the unique channel of UAV-ground links, the asymmetric quality of service (QoS) requirements for downlink C&C and uplink mission-related data transmission, the stringent constraints imposed by the size, weight, and power (SWAP) limitations of UAVs, as well as the additional design degrees of freedom enabled by joint UAV mobility control and communication resource allocation.
The goal of the workshop is to solicit the recent developments in ultra-high speed, low latency, and massive connectivity communication with a vision of their potential advancement into beyond 5G and towards 6G. We aim to organize the 4th Workshop on “Ultra-high speed, Low latency and Massive Communication for futuristic 6G Networks (ULMC6GN)” in ICC 2021 to bring together academic researchers, industrial practitioners, and individuals working on this emerging exciting research areas to share their new ideas, latest findings, identify and discuss potential use cases, open research problems, technical challenges, and solution methods in this context.
This workshop provides a venue to bring together standards developers, leading researchers and engineers from government, industry, and academia to present and discuss recent results on shared spectrum technology, and to promote its expedited development.
The aim of this workshop is to streamline research on affective sensing applications in communication networks. It further comes in response to a steadfastly growing trend in communication context both to facilitate cost-effective sensing, and to utilize the user’s affect to improve the network operation. These include the use of ISM-band equipment to contactlessly capture human movement, pose, breathing rate, etc., and infer affect whether in standalone or a multimodal manner, i.e., with or with video/audio feeds. Another example is the automating QoE capture to improve the networked service delivery.
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.
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.
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.
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.
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.
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
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)
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.