Emerging Technologies for Green · Topic: Emerging Technologies for Green 6G TCGCC/TGCN joint...
Transcript of Emerging Technologies for Green · Topic: Emerging Technologies for Green 6G TCGCC/TGCN joint...
Emerging Technologies
for Green Online / Free / 25 November, 2020
TCGCC: Technical Committee on Green Communications & Computing
TGCN: IEEE Transactions on Green Communications and Networking
TCGCC/TGCN Joint Seminar “Emerging Technologies for Green 6G”
Date: 25 November, 2020Time: 9:00 EST (15:00 CET, 22:00 Beijing time)
Zoom meeting ID: 995 1176 0123Passcode: 013326
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IEEE TGCN (Transactions on Green Communications and Networking)
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• To advance and promote significant technology advances in green communications and networks including wireline, optical, and wireless communications and networks.
• Green communications and networking in this context means sustainable, energy-efficient, energy-aware, and environmentally aware communications and networking
More information: https://www.comsoc.org/publications/journals/ieee-tgcn
Topic: Emerging Technologies
for Green 6G
TCGCC/TGCN joint seminar: exploit the expertise in both TCGCC and TGCN; and share knowledge
State-of-the-art: Edge computing, AI, Quantum Computing, Reconfigurable Intelligent Surfaces (RIS), URLLC are emerging research fields and highly promising technologies for 6G.
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Chair Yan Zhang, University of Oslo, Norway. (Chair of TCGCC)
Co-Chair Zhisheng Niu, Tsinghua University, China. (EiC of TGCN)
Co-Chair Michela Meo, Politecnico di Torino, Italy. (Senior Editor of TGCN)
Co-Chair M. Cenk Gursoy, Syracuse University, USA (SIG Co-chair, TCGCC)
Chairs
Program
Time Speaker Topic Session Chair
9:00-9:05 Yan Zhang, University of Oslo, Norway Welcome and TCGCC introduction
9:05-9:10 Zhisheng Niu, Tsinghua University, China IEEE TGCN introduction
9:10-9:50 Angela Yingjun Zhang, The Chinese University of Hong Kong
Service Caching in Mobile Edge Computing
Zhisheng Niu
9:50-10:30 Kyle Jamieson, Princeton University, USA Quantum Computation for MIMO Detection and LDPC Decoding in Wireless Networks
Zhisheng Niu
10:30-10:40 Coffee Break
10:40-11:20 Petar Popovski, Aalborg University, Denmark
Signposts for Latency and Reliability on the Way Beyond 5G Wireless
Michela Meo
11:20-12:00 Zhu Han, University of Houston, USA Reconfigurable Intelligent Surface for 6G
Michela Meo
12:00-12:10 Yan Zhang, University of Oslo, Norway Closing
Date: 25 November, 2020 / Zoom (ID: 995 1176 0123; Passcode: 013326) / Time: 9:00-12:00 EST
Angela Yingjun Zhang
IEEE Fellow, IET FellowComSoc Distinguished Lecturer
ProfessorThe Chinese University of Hong Kong
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Dr. Angela Yingjun ZhangTopic: Service Caching in Mobile Edge Computing
Abstract
In recent years, researchers have investigated a wide range of topics related to mobile edge computing (MEC) from both the mobilecomputing and the wireless communications perspectives, such as MEC architecture and virtualization, computation offloading,task scheduling and resource management. In comparison, service caching has been severely under-investigated. Service cachingrefers to pre-storing the necessary programs for task computation at MEC servers. It effectively reduces the real timedelay/bandwidth cost on acquiring and initializing service applications when computation tasks are offloaded to the MEC servers.The limited caching space at edge servers calls for careful design of caching placement to determine which programs to cache overtime. This is in general a complicated problem that highly correlates with the computation offloading and resource allocationdecisions. In this talk, I am going to introduce our recent work on MEC service caching in various scenarios.
Short Biography
Angela Yingjun Zhang is a Professor with the Department on Information Engineering, The Chinese University of Hong Kong. Herresearch interests include optimization and learning for wireless communications and smart grid systems. Angela is now a Member ofthe IEEE ComSoc Fellow Evaluation Standing Committee, an Editor-at-Large of IEEE Open Journal of the Communications Society, and aSteering Committee Member of IEEE SmartGridComm conference. Previously, she had served as the Chair of the Executive EditorialCommittee of IEEE Transactions on Wireless Communications, and many years on the editorial boards of IEEE Transactions on WirelessCommunications, IEEE Transactions on Communications, and Wiley Journal on Security and Communications Networks. She was theFounding Chair of the IEEE ComSoc Technical Committee on Smart Grid Communications. She has been on the organizing committees ofmajor IEEE conferences, including ICC, GLOBECOM, SmartGridComm, VTC, CCNC, ICCC, and MASS. Angela is a Fellow of IEEE, a Fellow ofIET, and a IEEE ComSoc Distinguished Lecturer.
Kyle Jamieson
Associate ProfessorPrinceton University, USA
PhDMassachusetts Institute of Technology
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Dr. Kyle JamiesonTopic: Quantum Computation for MIMO Detection and LDPC Decoding in Wireless Networks
Abstract
User demand for increasing amounts of wireless capacity continues to outpace supply, and while 5G wireless designs begin to addressthis, even higher-performance 6G roadmap systems now remain impractical in part because their algorithms are extremelycomputationally demanding. The base station's computational capacity is thus becoming one of the key limiting factors on wirelesscapacity. I will discuss work in centralized radio access network (C-RAN) architecture designs backed by quantum computation. We haveimplemented two such designs on the D-Wave 2000Q quantum annealer, the first a Large MIMO detector, and the second an LDPCdecoder. Our experimental results evaluate these systems on real and synthetic channel traces, showing that 30 ?s of compute time onthe 2000Q can enable 48 user, 48 AP antenna BPSK MIMO detection at 20 dB SNR with a bit error rate of 10-6. For LDPC decoding, ourquantum decoder achieves a performance improvement over an FPGA based soft belief propagation LDPC decoder, by reaching a biterror rate of 10?8 and a frame error rate of 10-6 at an SNR gap of up to 3.5 dB.
Short Biography
Kyle Jamieson is an Associate Professor in the Department of Computer Science at Princeton University and HonoraryReader at University College London. His research focuses on building mobile and wireless systems for sensing,localization, and communication that cut across the boundaries of digital communications and networking. Hereceived the B.S. (Mathematics, Computer Science), M.Eng. (Computer Science and Engineering), and Ph.D. (ComputerScience, 2008) degrees from the Massachusetts Institute of Technology. He then received a Starting Investigatorfellowship from the European Research Council, a Google Faculty Research Award, and the ACM SIGMOBILE EarlyCareer ("Rockstar") Award. He served as an Associate Editor of IEEE Transactions on Networking from 2018 to 2020.He is a Member of the ACM and a Senior Member of the IEEE.
Petar Popovski
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IEEE Fellow
ProfessorAalborg University, Denmark
Dr. Petar PopovskiTopic: Signposts for Latency and Reliability on the way Beyond 5G Wireless
Abstract
Perhaps the main innovation in 5G wireless systems has been the platform approach to connectivity: using a single system that anflexibly support connections with very diverse requirements. To achieve this, three generic services have been defined: enhancedMobile Broadband (eMBB), Ultra-Reliable Low-Latency Communication (URLLC), and massive Machine Type Communication (mMTC).URLLC is intended for mission-critical connectivity, postulated to have very stringent requirement both on latency and reliability. This talkwill provide a perspective on latency and reliability requirements beyond 5G. We will discuss the need to decouple latency and reliabilityinto two different design dimensions. Then it will address the issue of measuring and guaranteeing reliability and the necessity of usingmachine learning concepts in this respect. Another theme will be related to the spectrum usage and ways to assess its performance inthe context of heterogeneous connection requirements. Finally, the talk will address the impact of smart contracts and distributedledger on the IoT traffic, requiring revision of the definitions of latency and reliability.
Short BiographyPetar Popovski is a Professor Aalborg University, where he heads the section on Connectivity. He received his Dipl.-Ing and M. Sc. degrees incommunication engineering from the University of Sts. Cyril and Methodius in Skopje and the Ph.D. degree from Aalborg University in 2005. He isa Fellow of the IEEE. He received an ERC Consolidator Grant (2015), the Danish Elite Researcher award (2016), IEEE Fred W. Ellersick prize (2016),IEEE Stephen O. Rice prize (2018) and Technical Achievement Award from the IEEE Technical Committee on Smart Grid Communications (2019).He is currently a Member at Large at the Board of Governors in IEEE Communication Society. Prof. Popovski is a Steering Committee Member ofIEEE SmartGridComm and IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING. He previously served as a Steering CommitteeMember of the IEEE INTERNET OF THINGS JOURNAL. He is currently an Area Editor of the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS.Prof. Popovski was the General Chair for IEEE SmartGridComm 2018 and IEEE Communication Theory Workshop 2019. His research interests arein the area of wireless communication and communication theory. He authored the book "Wireless Connectivity: An Intuitive and FundamentalGuide", published by Wiley in 2020.
Zhu Han
IEEE Fellow, AAAS Fellow
ProfessorUniversity of Houston, USA
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Dr. Zhu HanTopic: Reconfigurable Intelligent Surface for 6G: Communication, Sensing, and Localization
AbstractTo spearhead the emergence of future intelligent communication and sensing platform, many advanced techniques have been investigated suchas small cell and massive MIMO to support ubiquitous high-speed data services. However, their performances greatly depend on the dynamic andunpredictable wireless propagation. Against this background, reconfigurable intelligent surface (RIS) stands out as a novel approach to improvethe quality of communication links and extend coverage. It is capable to actively shape the uncontrollable wireless environments into a desirableform via flexible phase shift reconfiguration without extra hardware or power costs. To better exploit the potential of such a technique, it isessential to develop distributed configuration, to design new protocols, to explore and implement suitable application scenarios, as well as toperform intelligent control and orchestration. This proposal will emphasize on RIS aided cellular communication and its applicability to a variety ofIoT use cases. We will first give a comprehensive introduction of the RIS techniques by revealing its unique features compared to traditionalantenna arrays. Second, RIS-aided
communications will be discussed targeting at network capacity
improvement and coverage extension from different aspects such as
hybrid beamforming design and structure optimization. Third, two
typical RIS-aided IoT applications will be developed, i.e., smart
sensing and enhanced localization. Challenges on protocol design,
signal processing, intelligent configuration, and implementation
issues will be addressed.
Short BiographyZhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electricalengineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU,Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistantprofessor in Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in Electrical and Computer EngineeringDepartment as well as Computer Science Department at University of Houston, Texas. His research interests include security, wireless resourceallocation and management, wireless communication and networking, game theory, and wireless multimedia. Dr. Han is an NSF CAREER awardrecipient 2010. Dr. Han has several IEEE conference best paper awards, and winner of 2011 IEEE Fred W. Ellersick Prize, 2015 EURASIP Best PaperAward for the Journal on Advances in Signal Processing and 2016 IEEE Leonard G. Abraham Prize in the field of Communication Systems (BestPaper Award for IEEE Journal on Selected Areas on Communications). Dr. Han is the winner 2021 IEEE Kiyo Tomiyasu Award. He has been IEEEfellow since 2014, AAAS fellow since 2020 and IEEE Distinguished Lecturer from 2015 to 2018. Dr. Han is 1% highly cited researcher according toWeb of Science since 2017.
WELCOME TO TCGCC/TGCN SEMINAR
“Emerging Technologies for Green 6G”