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2019 International Workshop onAdvances in Information Coding and

Wireless Communications(AICWC'2019)

PROGRAMME

31 October - 2 November 2019, SWJTU, Chengdu, China

Technically Co-sponsored by IEEE ITS/VTS/ComSoc Chengdu Chapter,CIE-ITS

Supported by 111 Project, NSFC-NRF Project, NSFC-STINT Project, EU FP7QUICK Project, CSNMT and Southwest Jiaotong University

西 南 交 通 大 学Southwest Jiaotong University

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HMWC’2012 Conference Organization

GENERAL CHAIRSPingzhi Fan, Southwest Jiaotong University (SWJTU), China, pzfan@swjtu.edu.cn

Vahid Tarokh, Harvard University, USA, vahid@seas.harvard.edu

PROGRAM CHAIRSErdal Panayirci, Kadir Has University, Turkey, eepanay@khas.edu.tr

Ping Li, City University of Hongkong, Hongkong, EELIPING@cityu.edu.hkChengxiang Wang, Heriot-Watt University, UK, Cheng-Xiang.Wang@hw.ac.uk

PROGRAM COMMITTEE

Aria Nosratinia, Univ of Texas at Dallas, USABaoming Bai, Xidian University, ChinaCheng Tao, Beijing Jiaotong Univ, ChinaChi Chung Ko, Nat. Univ. of Singapore, SingaporeChintha Tellambura, Univ of Alberta, CanadaDan Mandoc, Int. Union of Railway, FranceFumiyuki Adachi, Tohoku University, JapanGanghua Yang, Huawei Technologies Inc, ChinaGuangyi Liu, China Mobile, ChinaHyuncheol Park, KAIST, KoreaJianhua Zhang, BUPT, ChinaManav R. Bhatnagar, IIT Delhi, IndiaMenglin-Ku, National Central Univ, TaiwanPingyi Fan, Tsinghua University, ChinaSana Salous, Durham Univ., UKHongkong, China

Takis Mathiopoulos, National Observ. of Athens,GreeceTetsuya KOJIMA, Tokyo NCTech, JapanUdaya Parampalli, Univ of Melbourne, AustraliaWen Chen, Shanghai Jiaotong Univ, ChinaWai Ho Mow, HKUST, Hong KongXuming Fang, SWJTU, ChinaXia Lei, UESTC, ChinaXiang CHENG, Peking Univ, ChinaXiao Ma, Sun Yat-Sen University, ChinaXiaohu Tang, SWJTU, ChinaYi Pan, Georgia State University, USAYiqing Zhou, Chinese Academy of Science, ChinaZhaoyang Zhang, Zhejiang Univ, ChinaZhiguo Ding, Newcastle University, UK

Publicity Chair

Li Hao, SWJTU, China

Publication ChairQingchun Chen, SWJTU, China

Treasurer

Lin Liu, SWJTU, China

Local ArrangementsZheng Ma, SWJTU, ChinaHongyu Zhao, SWJTU, ChinaXiyang Li, SWJTU, China

国家国际科技合作基地: 现代交通通信与传感网络国际联合研究中心National Int Sci & Tech Cooperation Base (MoST): Communications &Sensor Networks for Modern Transportation (CSNMT)国家 111 引智基地：无线通信与信息编码111 Int Talents Base: Wireless Comms & Info Coding, (MoE SAFEA)信息编码与传输省重点实验室Sichuan Provincial Key Lab of Info Coding & Transmission, SWJTU西南交通大学信息科学与技术学院School of Information Science & Technology, SWJTUhttp://csnmt.swjtu.edu.cn/ http://sist.swjtu.edu.cn/

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Technically Co-sponsored by IEEE ITS/ComSoc/VTS Chengdu Chapter, CIE-ITS

Supported by 111 Project (MoE), NSFC/MoST Project, CSNMT and Southwest Jiaotong University

The6th InternationalWorkshoponAdvances in Information Coding andWirelessCommunications (AICWC'2019)

31October - 2November 2019, Chengdu, China,http://csnmt.swjtu.edu.cn/aicwc2019/

Call for Participation

OrganizingChairs: Pingzhi Fan, TorHelleseth, Erdal Panayirci

Information theory and coding techniques play a very important role in various aspects of wirelesscommunications. Similar to our successful AICWC’2013, AICWC’2014, AICWC’2015, AICWC’2017and AICWC’2018, the aim of this international workshop is to foster fruitful interactions amongleading information theorists, coding experts, signal and system designers, wireless communicationexperts, andcommunicationspractitioners.

The topics of this workshop include, but are not limited to, the following: new concepts anddirections in information theory, coding andwireless communications; advances of coding and signaldesign for wireless communications; big data and wireless networks; sequence design for datareduction over time-varying channels; non-orthogonal multiple access; distributive and cooperativetechniques; vehicular communications (trains andautomobiles), etc.

All the speakers in this workshop are invited only, the organizer shall provide full financial supportfor all keynote and invited speakers. This workshop is technically co-sponsored by IEEEITS/ComSoc/VTSChengduChapter, CIE ITSociety; and supportedby111Project (No.111-2-14,MoE,SAFEA, PRC), NSFC-NRF Project (No.61661146003/NRF2016NRF-NSFC001-089), NSFC Key Project(No.61731017) and NSFC-STINT Project (No.6161101297), the International Cooperation ResearchCentre of China “Communications & Sensor Networks for Modern Transportation” (CSNMT, MoST,PRC), and theSouthwest JiaotongUniversity (SWJTU).

On behalf of organizing committee, all the interested scholars and students are welcomed toparticipate in this international workshop, including lectures and panels. Theworkshop shall be heldat the Xipu Campus of SWJTU, between 31 October - 2 November 2019 (registration on 30 October2019).

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Technically Co-sponsored by IEEE ITS/ComSoc/VTS Chengdu Chapter, CIE-ITS

Supported by 111 Project (MoE), NSFC/MoST Project, CSNMT and Southwest Jiaotong University

The6th InternationalWorkshoponAdvances in Information Coding andWirelessCommunications (AICWC'2019)

31October - 2November 2019, Chengdu, China,http://csnmt.swjtu.edu.cn/aicwc2019/

Invited Speakers

1. TorHelleseth (Fellowof IEEE&DNVA),UniversityofBergen,Norway2. ErdalPanayirci (IEEELifeFellow),KadirHasUniversity, Turkey3. Paddy Farrell (IEEE Fellow, FREng), University ofManchester, UK4. Xuemin(Sherman)Shen (Fellowof IEEE,EIC&CAE,Editor-in-Chief of IEEENetwork),

UniversityofWaterloo,Canada5. KhaledB.Letaief (IEEEFellow,Presidentof IEEEComSoc),HKUST,Hongkong,China6. ZhiDing (IEEEFellow), University of California (Davis), USA7. FumiyukiAdachi (IEEE Fellow), TohokuUniversity, Japan8. NeiKato (Fellowof IEEE, IEICE&EAJ,Editor-in-chief of IEEETVT),TohokuUniversity, Japan9. RobertSchober (IEEEFellow,Fellowof theCanadianAcademyofEngineering), Friedrich

AlexanderUniversity, Germany10. YuguangMichaelFang (IEEEFellow,AAASFellow), UniversityofFlorida,USA11. ErikG. Larsson (IEEE Fellow, Head of division), LinköpingUniversity, Sweden12. ZhiguoDing (Marie Curie Fellow, Chair Professor), University ofManchester, UK13. JingxianWu (LabDirector, Editor of IEEETWC/TVT/Access), Arkansas University, USA14. LianZhao (Editor of IEEETVT), RyersonUniversity, Canada15. MarcoDiRenzo (Editor-in-chief of IEEECL), Paris-SaclayUniversity - CNRS, France

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AICWC'2019Programme

Time InvitedTalks&Panels Chair

30October 2019 (Wednesday)Registration

31October 2019 (Thursday)8:40-9:10 OpeningAddresses, followed byGroup Photo Pingzhi Fan

9:10-9:45 “UniversalHigh-performance Soft-decisionDecodingAlgorithms” byPatrickGuyFarrell, University ofManchester,UK

ErikG.Larsson

9:45-10:20 “NewResults onAPNFunctions” byTorHelleseth, University of Bergen,Norway

ErikG.Larsson

10:20-10:40 TeaBreak10:40-11:15 “AI EmpoweredWirelessNetworks” byKhaledB.Letaief, HKUST,China Yuguang

Michael Fang11:15-11:50 “Reinforcement Learning for ResourceManagement in Space-Air-Ground

(SAG) IntegratedVehicularNetworks” byXuemin (Sherman)Shen,University ofWaterloo,Canada

YuguangMichael Fang

12:00-14:00 Lunch14:00-14:35 “Wireless ChallengeTowards 5GAndBeyond:Ultra-denseEdgeWireless

AccessNetworks” byFumiyukiAdachi, TohokuUniversity, JapanNeiKato

14:35-15:10 “Vehicles as a Service (VaaS): The Convergence of Communications,Computing, Storage and Intelligence (CCSI)” by Yuguang “Michael” Fang,University of Florida,USA

NeiKato

15:10-15:30 TeaBreak15:30-16:05 “Physical Layer forNextGenerationWireless: Lessons Learned from5Gand

Directions for 6G” byErikG.Larsson, LinköpingUniversity, SwedenKhaledB.Letaief

16:05-16:30 “6Gwireless: Wireless Networks Empowered by Reconfigurable IntelligentSurfaces” byMarcoDiRenzo, Paris-SaclayUniversity, France

KhaledB.Letaief

18:00- WelcomeDinner

1November 2019 (Friday)9:00-9:35 “Indoor Visible Light Communications and Physical-Layer Security” by Erdal

Panayirci, KadirHasUniversity, TurkeyZhiDing

9:35-10:10 “Towards Intelligent QoS and Security Optimization For the Internet of Things:Challenges andFutureDirections” byNeiKato,TohokuUniversity, Japan

ZhiDing

10:10-10:30 TeaBreak10:30-11:05 “End-to-EndCloud-BasedMachineLearning over Bandwidth-Constrained

Networks” byZhiDing, UCDavis,USAXuemin(Sherman)Shen

11:05-11:40 “Service Scheduling andResourceManagement for FutureWirelessCommunicationNetworks” byLianZhao, RyersonUniversity, Canada

Xuemin(Sherman)Shen

12:00-14:00 Lunch14:00-15:30 Panel Discussion 1: Challenges & Opportunities in Information Coding and

Intelligent Signal ProcessingPanelChair: TorHellesethPanelists : TorHelleseth, University ofBergen, Norway PaddyFarrell , University ofManchester,UK

TorHelleseth

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ZhiDing , University of California (Davis), USA Robert Schober, FriedrichAlexanderUniv,Germany ErikG.Larsson, LinköpingUniversity, Sweden NeiKato, TohokuUniversity, Japan JingxianWu, ArkansasUniversity, USA Pignzhi Fan, Southwest JiaotongUniversity, China

15:30-15:50 TeaBreak15:50-17:20 Panel Discussion 2: Challenges & Opportunities in Future Wireless

Communications& Internet of ThingsPanelChair: Erdal PanayirciPanelists: Erdal Panayirci, KadirHasUniversity, Turkey Xuemin (Sherman)Shen, Univ ofWaterloo,Canada KhaledB.Letaief , HKUST,Hongkong,China YuguangMichael Fang, University of Florida,USA FumiyukiAdachi, TohokuUniversity, Japan ZhiguoDing, ManchesterUniversity, UK LianZhao, RyersonUniversity, Canada MarcoDiRenzo, Paris-SaclayUniversity - CNRS, France

Erdal Panayirci

18:00- Dinner

2November 2019 (Saturday)8:45-9:20 “OTFS-NOMA: An Efficient Approach for Exploiting Heterogenous User

Mobility Profiles” byZhiguoDing, University ofManchester,UKRobert Schober

9:20-9:55 “Finite-Time Distributed Data Diffusion in Decentralized Networks” byJingxianWu, University ofArkansas, USA

Robert Schober

10:30-10:50 TeaBreak10:50-11:25 “Conditional Capacity andTransmit SignalDesign for SWIPTSystemswith

MultipleNonlinear EnergyHarvestingReceivers” byRobert Schober,Friedrich-AlexanderUniversity Erlangen-Nurnberg, Germany

PaddyFarrell

11:25-12:00 Lab visit to LocomotiveMuseumorCSNMT Int CoopResCentre ZhengMa

12:00-14:00 Lunch

14:00-18:00 Free time

18:00- FarewellDinner

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NewResults on APN Functions

TorHellesethTheSelmerCenter,Department of Informatics,University ofBergen,Norway

Email: Tor.Helleseth@uib.no,http://www.ii.uib.no/~torh/

Abstract: An almost perfect nonlinear (APN) function f(x) is a mapping from the finite field GF(2n) with2n elements to itself that has the property that f(x+a) + f(a) = b has at most 2 solutions x for any nonzero aand any b in the finite field. APN functions have many applications in cryptography to construct optimalS-boxes, in coding theory to construct optimal error correcting codes, and in discrete mathematics. Manybasic constructions of APN functions are known but there are still many open and challenging problems.This talk will provide an introduction and an overview over known results of APN functions as well assome recent new constructions of infinite classes of APN functions. Some of the remaining open problemsin this areawill also be discussed.

Speaker’s BiographyTor Helleseth (IEEE Fellow) received his Dr. Philos. degree in mathematics from theUniversity of Bergen, Norway, in 1979. During the academic years 1977-1978 and 1992-1993hewas on sabbatical leave at theUniversity of SouthernCalifornia, USA, and during 1979-1980,he was a Postdoctoral fellow at the Eindhoven University of Technology, The Netherlands.From 1981 to 1984 he was a researcher at the Chief Headquarters of Defense in Norway. Since1984 has he has been Professor at the Department of Informatics, University of Bergen. Heserved as an Associate Editor for IEEE Transactions on Information Theory, 1991-1993 forCoding Theory and 2012-2014 for Sequences. He is on the editorial board for Designs, Codesand Cryptography (DCC), and Cryptography and Communications: Discrete Structures,Boolean Functions and Sequences (CCDS). He has published more than 400 papers in

international refereed journals and conferences in coding theory, cryptography and sequence designs, including more than100 co-authors from more than 25 countries. He was the program co-chair for Eurocrypt’93, IEEE Information TheoryWorkshop, ITW1997, ITW2007, Arctic Crypt 2016 and for Sequences and Their Applications, SETA’98, SETA’04,SETA’06, SETA’12, and SETA’18. He is a program co-chair for the upcoming International Workshop on Signal Designsand its Applications in Communications, IWSDA’19. Professor Helleseth was a coordinator of NISNet, a national networkin information security, in Norway 2007-2011. In 1997 he was elected IEEE Fellow for his "Contributions to Coding TheoryandCryptography" and in 2004 electedmember of theNorwegianAcademy of Science (DetNorskeVidenskaps - Akademi).He served on the Board of Governors for the IEEE ITSociety during 2007-2009. His interests include coding theory,cryptography, sequence designs, finite fields and discretemathematics.

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Indoor Visible Light Communications and Physical-LayerSecurity

Erdal PanayirciDept of Electronic Engineering, Kadir HasUniversity, Istanbul, Turkey

Email: eepanay@khas.edu.tr, eepanay@princeton.edu

Abstract: Optical Wireless Communications (OWC) and one of its potential applications, Visible LightComunications (VLC) offer significant technical and operational advantages. With attractive features suchas high bandwidth capacity, robustness to electromagnetic interference, high degree of spatial confinement,inherent security and unregulated spectrum, OWC as well as VLC stand out as powerful alternatives and/orcomplementary technologies to the existing radio frequency (RF) based wireless systems for a wide rangeof applications. During the past few years, physical-layer security in point-to-point and multiuser VLCnetwork has emerged as a promising approach to complement conventional encryption techniques andprovide a first line of defense against eavesdropping attacks. Physical-layer security refers to techniques thatexploits channel characteristics in order to hide information from unauthorized receivers, withoutdependence on upper-layer encryption. Due to its broadcast nature, VLC channels are inherently susceptibleto eavesdropping by unintended or unauthorized users who have access to the physical area illuminated bythe data transmitters. In this presentation, after a short introduction on VLC, we overview state-of-arttechniques employed for physical layer security in VLC systems and introduce two new and novel schemesfor VLC physical layer security, based on optical-space-shift-keying (OSSK) modulation and anon-orthogonal multiple access (NOMA) based relay-aided secure broadcasting. In addition, we elaborate aunified information-theoretical framework, relying on the accuracy of the channel estimators, to determinethe achievable secrecy capacity and secrecy rate of the proposed schemes.

Speaker’s BiographyErdal Panayirci (IEEE Fellow) received the Diploma Engineering degree in ElectricalEngineering from Istanbul Technical University, Istanbul, Turkey andthe Ph.D. degree in ElectricalEngineering and System Science from Michigan State University, USA. Until 1998 he has beenwith the Faculty of Electrical and Electronics Engineering at the Istanbul Technical University,where he was a Professor andHead of the Telecommunications Chair. Currently, he is Professorof Electrical Engineering and Head of the Electronics Engineering Department at Kadir HasUniversity, Istanbul, Turkey. Dr. Panayirci’s recent research interests include communicationtheory, synchronization, advanced signal processing techniques and their applications to RF,underwater and optical wireless communications. He has published extensively in leading scientificjournals and international conference and co-authored the book Principles of Integrated Maritime

Surveillance Systems (Boston,KluwerAcademic Publishers, 2000).

Dr. Panayırcı spent the academic years 2008-2009 and 2017-2018 at the Department of Electrical Engineering, PrincetonUniversity, New Jersey, USA, working on new channel estimation and equalization algorithms for high mobilityWIMAX andLTE systems as well as on the physical layer security in visible light communications. He has been the principal coordinator ofa 6th and 7th Frame European project called NEWCOM (Network of Excellent on Wireless Communications) andWIMAGIC Strep project for two years, representing Kadir Has University. Prof. Panayirci was an Editor for IEEETransactions on Communications in the areas of Synchronizations and Equalizations in 1995-2000. He served as a Member ofIEEE Fellow Committee in 2005-2008 and currently, he is serving second time as aMember of IEEE Fellow Committee. Heis also a Member of GLOBECOM/ICC Management & Strategy (GIMS) Standing Committee and a Member of WCNCSteering Committee. He was the Technical Program Co-Chair of the IEEE International Conference on Communications(ICC-2006) and the Technical Program Chair of the IEEE PIMRC held in Istanbul, Turkey both held in Istanbul in 2006 and2010, respectively. He was the Executive Vice Chairman of the IEEEWireless Communications and Networking Conference(WCNC) held in Istanbul in April 2014 and he is a General-Co-Chair of the IEEE PIMRC to be held in Istanbul, Turkey inSeptember 8-13, 2019.

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Universal High-performance Soft-decision Decoding AlgorithmsPatrickGuyFarrell

School of Electrical and Electronic Engineering, TheUniversity ofManchester, UKEmail: Paddy.Farrell@virgin.net

Abstract: This talk will present a family of novel, non-statistical, Euclidean-distance soft-input, soft-output(SISO) decoding algorithms. These algorithms are universal because they can be applied to error-correctingcodes with any combination of parameters (length, distance, rate, etc). They are also universal because theirprocessing structure can be based on any existing (and future) decoding structure. The novelty of thesealgorithms is that their metric is squared Euclidean distance, which is a non-statistical metric in contrast tothe statistical metrics used in almost all existing decoders. The channel statistics (Eb/No or SNR) must beaccurately known in order to avoid performance loss in statistical decoding algorithms, but this knowledgeis not required for the novel non-statistical algorithms, which simplifies their practical implementation. It isshown that in addition an 8% reduction in processing complexity achieved over the AWGN channel, in allcases equipment to measure or estimate the channel statistics is not required. So there are significantadvantages in using the non-statistical algorithms.

Speaker’s BiographyPatrick Guy Farrell (FRENG, IEEE Life Fellow, FIET) was born in Buenos Aires, Argentina, in1938. After moving to the UK, he received the BSc in Electrical Engineering from City University,London, in 1965. After working on active and mechanical filters at AEI (Woolwich) Ltd inLondon, he did research on coding for noisy data links at the University of Cambridge, and wasawarded the PhD in 1969. From 1968 to 1981 he was Lecturer and Senior Lecturer in Electronics,and head of the Digital Communications Research Group, at the University of Kent at Canterbury.In 1981 he was appointed Professor of Electrical Engineering and head of the CommunicationsResearch Group at the University of Manchester, becoming Head of Electrical Engineering(1985-93) and the first Head of the Manchester School of Engineering (1994-7). In 1998 hebecame Professor of Communications Engineering (part-time) at Lancaster University and then

Visiting Professor (2002-2007). From2005 until 2010 hewas anHonorary Professor at theUniversity ofKent (Canterbury).

His research, teaching and consultancy interests include error-correcting codes, information theory, digital communications,mobile radio, signal processing and electronic circuits, and he is author or co-author of over 300 papers, reports andpresentations, including several edited books and the book Essentials of Error-Control Coding (Wiley, 2006, with co-authorProf. J. Castiñeira Moreira). In 1980 he was awarded the Marconi Premium of the IEE as co-author of a paper entitledSoft-Decision Error Control Coding for HF Data Transmission. In 1979 he was Visiting Fellow at Curtin University, Perth,Australia; and in 1986 he was Fairchild Distinguished Visiting Scholar at the California Institute of Technology. For manyyears he has been a VisitingResearcher at theUniversity ofMar del Plata,Argentina.

He was elected a Fellow of the Royal Academy of Engineering in 1991. A Fellow of the IET (formerly the IEE), he wasChairman of the IEE Professional Group E8 (Radiocommunication Systems) and of the Electronics Divisional Board(1990-1). A Life Fellow and Millenium Medalist of the IEEE, he was Student Counsellor on the Committee of the IEEEUKRI Section (1981-85), co-chair (with Prof. Robert J. McEliece) of the IEEE International Symposium on InformationTheory (1985, Brighton, UK), and a member of the Board of Governors of the Information Theory Society (1986-88). He isa Fellow of the IMA, and formany yearswas a co-organiser of the series of IMAconferences onCyptography andCoding.From 1991 to 2009 he was co-organiser (with Profs B. Honary and and M. Darnell) of the International Symposium onCommunications Theory andApplications from1991 to 2009 atAmbleside in theEnglish LakeDistrict.

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Reinforcement Learning for ResourceManagement inSpace-Air-Ground (SAG) Integrated Vehicular Networks

Xuemin (Sherman) ShenDepartment of Electrical andComputer Engineering, University ofWaterloo, Canada

Email: xshen07@gmail.com

Abstract: Space-Air-Ground integrated Vehicular Network (SAGVN) is a prominent paradigm to providean extremely versatile vehicular network that can simultaneously guarantee ultra-reliability low-latencycommunications (URLLC) and deliver high-bandwidth traffic anywhere, any environment condition, andany event at anytime. However, it is challenging to manage and allocate the terrestrial network, aerialnetwork (UAV), and space (satellite) resources simultaneously and efficiently, as they have heterogeneousaccess features in terms of delay, throughput, and coverage range. In addition, high vehicle mobility andreal-time decision requirement further render the problem intractable. In this talk, we advocate the usage ofreinforcement learning for resource management in SAGVN, which can enable model-free and fastdecision makings for adaptive access control, on-demand UAV deployment, and UAV trajectory design.Wewill also show the detail development of our SAG simulator and some demos.

Speaker’s BiographyXuemin (Sherman) Shen (IEEE Fellow) is a University Professor, and Associate Chair forGraduate Study, Department of Electrical and Computer Engineering, University of Waterloo,Canada. Dr. Shen's research focuses on wireless resource management, wireless network security,smart grid and vehicular ad hoc and sensor networks. He is the Editor-in-Chief of IEEE IoT J. Heserves as the General Chair for Mobihoc'15, the Technical Program Committee Chair for IEEEGlobecom'16, IEEE Infocom'14, IEEE VTC'10, the Symposia Chair for IEEE ICC'10, theTechnical Program Committee Chair for IEEE Globecom'07, the Chair for IEEECommunications Society Technical Committee on Wireless Communications. Dr. Shen is anelected IEEE ComSoc Vice President - Publications, the chair of IEEE ComSoc Distinguish

Lecturer selection committee, and a member of IEEE ComSoc Fellow evaluation committee. Dr. Shen received the ExcellentGraduate Supervision Award in 2006, and the Premier's Research Excellence Award (PREA) in 2003 from the Province ofOntario, Canada. Dr. Shen is a registered Professional Engineer of Ontario, Canada, an IEEE Fellow, an Engineering Instituteof Canada Fellow, a Canadian Academy of Engineering Fellow, a Royal Society of Canada Fellow, and a DistinguishedLecturer of IEEEVehicular TechnologySociety andCommunications Society.

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AI EmpoweredWireless Networks

KhaledB.LetaiefElectronic andComputer Engineering,HKUST, China

Email: eekhaled@ust.hk

Abstract: We are witnessing an exciting time for future wireless networks with the emergence of 5G. Incontrast to 3G and 4G, which were mainly a continuation of their predecessors, 5G will represent arevolutionary leap and will have a huge impact on the transformation of wireless communications industriesas well as vertical industries. In this talk, we will describe some of the important technologies andinnovations ranging from air technologies and network design to services that are needed to meet thedemands of the next-generation wireless networks and guarantee broadband ubiquitous communications ofall things, including human-to-machine and machine-to-machine, for a connected living. Of particularinterest is the use of machine learning, a powerful artificial intelligence approach, for supporting intelligentnetworks and optimizing resource allocation problems inwireless networks.

Speaker’s BiographyKhaled B. Letaief (IEEE Fellow, President of IEEE ComSoc) is an internationally recognizedleader in wireless communications and networks with research interest in machine learning,mobile edge computing, 5G systems and beyond. In these areas, he has over 620 journal andconference papers and given keynote talks as well as courses all over the world. He also has alarge number of patents, including 11 US patents. He served as consultants for differentorganizations including Huawei, ASTRI, ZTE, Nortel, PricewaterhouseCoopers, and Motorola.He is the founding Editor-in-Chief of the prestigious IEEE Transactions on WirelessCommunications and has been involved in organizingmany flagship international conferences.

He is the recipient of many distinguished awards including the 2019 Distinguished ResearchExcellence Award by HKUST School of Engineering (Highest research award); 2019 IEEE

Communications Society and Information Theory Society Joint Paper Award; 2018 IEEE Signal Processing Society YoungAuthor Best Paper Award; 2017 IEEE Cognitive Networks Technical Committee Publication Award; 2016 IEEE MarconiPrize Award in Wireless Communications; 2011 IEEE Harold Sobol Award; and 2010 Purdue University OutstandingElectrical andComputer EngineerAward.

Dr. Letaief is well recognized for his dedicated service to professional societies and in particular IEEEwhere he has served inmany leadership positions. These include IEEE Communications Society Vice-President for Conferences andVice-President for Technical Activities. He is currently President of the IEEE Communications Society, the world's leadingorganization for communications professionalswith headquarter inNewYorkCity andmembers in 162 countries.

Since 1993, he has been with HKUST where he has held many administrative positions, including Head of Electronic andComputer Engineering department and founding Director of Huawei-HKUST Innovation Laboratory. He also served asDean of Engineering. Under his leadership, HKUST School of Engineering dazzled in international rankings (rising from #26 in 2009 to # 14 in the world in 2015 according to QS World University Rankings). Dr. Letaief received the BS degreewith distinction,MS andPh.D.Degrees inElectrical Engineering fromPurdueUniversity atWest Lafayette, Indiana,USA.

He is a Fellow of IEEE and a Fellow of HKIE. He is also recognized by Thomson Reuters as an ISI Highly CitedResearcher.

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End-to-End Cloud-BasedMachine Learning over

Bandwidth-Constrained Networks

ZhiDingElectrical andComputer Engineering at theUniversity ofCalifornia, Davis, USA

Email: zding.ucdavis@gmail.com

Abstract: JPEG2000 (j2k) is a highly popular format for image and video compression. With the rapidlygrowing applications of cloud based image classification, most existing j2k-compatible schemes wouldstream compressed color images from the source before reconstruction at the processing center as inputs todeep CNNs. We propose to remove the computationally costly reconstruction step by training a deep CNNimage classifier using the CDF 9/7 DiscreteWavelet Transformed (DWT) coefficients directly extracted fromj2k-compressed images. We demonstrate additional computation savings by utilizing shallower CNN toachieve classification of good accuracy in the DWT domain. Furthermore, we show that traditionalaugmentation transforms such as flipping/shifting are ineffective in the DWT domain and present differentaugmentation transformations to achieve more accurate classification without any additional cost. This way,faster and more accurate classification is possible for j2k encoded images without image reconstruction.Through experiments on CIFAR-10 and Tiny ImageNet data sets, we show that the performance of theproposed solution is consistent for image transmission over limited channel bandwidth.

Speaker’s BiographyZhi Ding (IEEE Fellow) is a Professor of Electrical and Computer Engineering at theUniversity of California, Davis. He received his Ph.D. degree in Electrical Engineering fromCornell University in 1990. From 1990 to 2000, he was a faculty member of AuburnUniversity and later, University of Iowa. Prof. Ding has held visiting positions in AustralianNational University, Hong Kong University of Science and Technology, NASA LewisResearch Center and USAF Wright Laboratory. His major research interests lie in the generalfield of signal processing and communications. Prof. Ding has active collaboration withresearchers frommany universities including those in Australia, China, Finland, Japan, Canada,Taiwan, Korea, and Singapore. He has coauthored over 300 technical papers and two books.Dr. Ding is a coauthor of the text: Modern Digital and Analog Communication Systems, 4thedition and 5th edition, OxfordUniversity Press.

Dr. Ding is a Fellow of IEEE and has been an active member of IEEE, serving on technicalprograms of several workshops and conferences. He served both as a Member and also the

Chair of the IEEE Transactions on Wireless Communications Steering Committee from 2007-2001. Dr. Ding was theTechnical Program Chair of the 2006 IEEE Globecom and the General Chair of the 2016 IEEE International Conference onAcoustics, Speech and Signal Processing (ICASSP). He served as an IEEE Distinguished Lecturer (Circuits and SystemsSociety, 2004-06, Communications Society, 2008-09). He received the 2012 Wireless Communications Recognition Awardfrom the IEEE Communications Society. He currently also serves as the Chief Information Officer of the IEEECommunications Society.

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Wireless Challenge Towards 5GAnd Beyond: Ultra-dense EdgeWireless Access Networks

FumiyukiAdachiResearchOrganizationofElectricalCommunication,TohokuUniversity, Japan

Email: adachi@ecei.tohoku.ac.jp

Abstract:Restructuring the wireless access network (RAN) is inevitable to support a huge number of usersor devices requiring high data rate, high reliability, and low latency. One promising architecture isultra-dense edgeRAN (eRAN) consisting of large-scale distributedmultiple-input multiple-output (MIMO).A large number of antennas are spatially distributed over a base station (BS) coverage area, which areconnected to a BS by optical mobile fronthaul. From highly flexible and scalable deployment point of view,ultra-dense eRANs should be designed to carry out their radio resource management in a decentralizedmanner while adapting to the changing propagation environment. The biggest challenge is the prohibitivelyhigh computational complexity required to handle large numbers of distributed antennas (DAs) and userequipments (UEs) for signal transmission and reception. This computational complexity problem can bealleviated by adopting the user-centric virtual cell (VC) concept. However, since the same radio resourceneeds to be densely reused to improve the spectrum efficiency, two types of interference arise: inter-VCinterference (IVCI) in each eRANarea and inter-cell interference (ICI) from neighboring eRANareas. Inthis talk, we will present promising approaches for mitigating the interference problems. In order to mitigatethe IVCI problem, joint UE or DA clustering and scheduling is introduced. Furthermore, to mitigate the ICIproblem, decentralized learning-based adaptive ICI coordination (ICIC) is introduced, which is based on thefractional frequency reuse (FFR) concept. By introducing the above interference mitigation techniques,highly flexible and scalable deployment of ultra-dense eRANs having low latency can be realized.

Speaker’sBiographyFumiyuki Adachi (IEEE Life Fellow) Fumiyuki Adachi received the B.S. and Dr.Eng. degrees in electrical engineering from Tohoku University, Sendai, Japan, in1973 and 1984, respectively. In April 1973, he joined the Electrical CommunicationsLaboratories of Nippon Telegraph & Telephone Corporation (now NTT) andconducted various researches on digital cellular mobile communications. From July1992 to December 1999, he was with NTT Mobile Communications Network, Inc.(now NTT DoCoMo, Inc.), where he led a research group on Wideband CDMA for3G systems. Since January 2000, he has been with TohokuUniversity, Sendai, Japan.His research interests are in the area of wireless signal processing (multi-access,

equalization, antenna diversity, adaptive transmission, channel coding, etc.) and networking.

He is an IEEE Life Fellow and an IEICE Fellow. He received the IEEE Vehicular Technology SocietyAvant Garde Award 2000, IEICE Achievement Award 2002, Thomson Scientific Research FrontAward 2004, Ericsson Telecommunications Award 2008, Prime Minister Invention Award 2010,KDDI Foundation Excellent ResearchAward 2012, C&CPrize 2014, IEEEVTS StuartMeyerMemorialAward2017, and IEEEComSocRCCTechnicalRecognitionAward2017.

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Deep Learning in Network Traffic Control- How FarWeHave Come and Future Challenges

NeiKatoGraduate School of Information Sciences, TohokuUniversity, Japan

kato@it.is.tohoku.ac.jp, http://db.tohoku.ac.jp/whois/e_detail/3f8a4ba7e94ab7ca46e3c6581d876c46.html

Abstract: Recently, the emerging communication technologies and diversified Internet services have madethe networks much more complex. Extensive research has illustrated that enabling the network intelligencethrough the machine learning techniques is an efficient method to address the complex scenarios and reducemanual intervention in management. Among the existing research, deep learning has been widely studied toimprove heterogeneous network traffic control which is an important and challenging area. To address thegrowing traffic demand, we have conducted some pioneering research works in network routing andresource allocation. Series of encouraging results have been achieved in terms of network throughput,average delay, and packet loss rate. In this talk, I will introduce our proposed ideas and focus on the threeproblems: how to characterize the input and output, how to choose the training manner considering thetraffic patterns, and how to construct efficient deep learning architectures. Also, preliminary results will bediscussed and I will demonstrate the significant improvement of traffic control for different networkscenarios. In addition, can a new intelligent traffic control system be designed for highly dynamic networks,and can self-adjust its own parameters to match the network changes? What can we do to make the deeplearning based research more meaningful and practical? I will discuss these issues according to ourexperience and look toward the future.

Speaker’s BiographyNei Kato (IEEE Fellow) is a full professor (Deputy Dean) with Graduate School of InformationSciences(GSIS) and the Director of Research Organization of Electrical Communication(ROEC),Tohoku University, Japan. He has been engaged in research on computer networking, wirelessmobile communications, satellite communications, ad hoc & sensor & mesh networks, UAVnetworks, smart grid, AI, IoT, Big Data, and pattern recognition. He has published more than 400papers in prestigious peer-reviewed journals and conferences. He is the Vice-President (Member &Global Activities) of IEEE Communications Society(2018-2021), the Editor-in-Chief of IEEETransactions on Vehicular Technology(2017-), and the Chair of IEEE Communications SocietySendai Chapter. He served as the Editor-in-Chief of IEEE Network Magazine (2015-2017), aMember-at-Large on the Board of Governors, IEEE Communications Society(2014-2016), a Vice

Chair of Fellow Committee of IEEE Computer Society(2016), and a member of IEEE Communications Society AwardCommittee (2015-2017). He has also served as the Chair of Satellite and Space Communications Technical Committee(2010-2012) and Ad Hoc & Sensor Networks Technical Committee (2014-2015) of IEEE Communications Society. Hisawards include Minoru Ishida Foundation Research Encouragement Prize(2003), Distinguished Contributions to SatelliteCommunications Award from the IEEE Communications Society, Satellite and Space Communications TechnicalCommittee(2005), the FUNAI information Science Award(2007), the TELCOM System Technology Award fromFoundation for Electrical Communications Diffusion(2008), the IEICE Network System Research Award(2009), the IEICESatellite Communications Research Award(2011), the KDDI Foundation Excellent Research Award(2012), IEICECommunications Society Distinguished Service Award(2012), IEICE Communications Society Best Paper Award(2012),Distinguished Contributions to Disaster-resilient Networks R&D Award from Ministry of Internal Affairs andCommunications, Japan(2014), Outstanding Service and Leadership Recognition Award 2016 from IEEE CommunicationsSociety Ad Hoc & Sensor Networks Technical Committee, Radio Achievements Award from Ministry of Internal Affairsand Communications, Japan (2016), IEEE Communications Society Asia-Pacific Outstanding Paper Award(2017), Prize forScience and Technology from the Minister of Education, Culture, Sports, Science and Technology, Japan(2018), Awardfrom Tohoku Bureau of Telecommunications, Ministry of Internal Affairs and Communications, Japan(2018), IEEECommunications Society Green Communications and Computing Technical Committee Distinguished TechnicalAchievement Recognition Award(2019) and Best Paper Awards from IEEE ICC/GLOBECOM/WCNC/VTC. Nei Kato is aDistinguished Lecturer of IEEE Communications Society and Vehicular Technology Society. He is a Fellow of TheEngineeringAcademyof Japan, Fellowof IEEE, andFellow of IEICE.

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Conditional Capacity and Transmit Signal Design for SWIPTSystems withMultiple Nonlinear Energy Harvesting Receivers

Robert SchoberInstitute for Digital Communications, Friedrich-AlexanderUniversity Erlangen-Nurnberg,Germany

Email: robert.schober@fau.de, https://www.idc.tf.fau.de

Abstract: We study the information-theoretic limits for simultaneous wireless information and powertransfer (SWIPT) systems employing practical nonlinear radio frequency (RF) energy harvesting (EH)receivers (Rxs). In particular, we consider a SWIPT system with one transmitter that broadcasts a commonsignal to an information decoding (ID) Rx and multiple EH Rxs. Owing to the nonlinearity of the EH Rxs’circuitry, the efficiency of wireless power transfer depends on the waveform of the transmitted signal. Weaim to answer the following fundamental question: What is the optimal input distribution of the transmitsignal waveform that maximizes the information transfer rate at the ID Rx conditioned on individualminimum required direct-current (DC) powers to be harvested at the EH Rxs? Specifically, we study theconditional capacity problem of a SWIPT system impaired by additive white Gaussian noise subject toaverage-power (AP) and peak-power (PP) constraints at the transmitter and nonlinear EH constraints at theEH Rxs. To this end, we develop a novel EH model that captures the saturation of the harvested DC powerby taking into account not only the forward current of the rectifying diode but also the reverse breakdowncurrent. Then, we derive a novel semi-closed-form expression for the harvested DC power, which simplifiesto closed form for low input RF powers. The derived analytical expressions are shown to closely matchcircuit simulation results. We solve the conditional capacity problem for both real- and complex-valuedsignalling and show that unlike for the conventional linear EH model, there exists a rate-energy (R-E)tradeoff for the considered nonlinear EH model. Moreover, we prove that the optimal input distribution thatmaximizes the R-E region is unique and discrete with a finite number of mass points. In addition, we devisea suboptimal distributionwhoseR-E performance is close to optimal.

Speaker’sBiographyRobert Schober (IEEEFellow):Robert received the Diplom (Univ.) and the Ph.D. degrees inelectrical engineering from Friedrich-Alexander University of Erlangen-Nuremberg (FAU),Germany, in 1997 and 2000, respectively. From 2002 to 2011, he was a Professor and CanadaResearch Chair at the University of British Columbia (UBC), Vancouver, Canada. Since January2012 he is an Alexander von Humboldt Professor and the Chair for Digital Communication atFAU. His research interests fall into the broad areas of Communication Theory, WirelessCommunications, and Statistical Signal Processing.Robert received several awards for his work including the 2002 Heinz Maier Leibnitz Award ofthe German Science Foundation (DFG), the 2004 Innovations Award of the Vodafone Foundationfor Research in Mobile Communications, a 2006 UBC Killam Research Prize, a 2007 WilhelmFriedrich Bessel Research Award of the Alexander von Humboldt Foundation, the 2008 Charles

McDowell Award for Excellence in Research from UBC, a 2011 Alexander von Humboldt Professorship, a 2012 NSERCE.W.R. Stacie Fellowship, and a 2017 Wireless Communications Recognition Award by the IEEE WirelessCommunications Technical Committee. Since 2017, he has been listed as a Highly Cited Researcher by theWeb of Science.Robert is a Fellow of the Canadian Academy of Engineering and a Fellow of the Engineering Institute of Canada. From 2012to 2015, he served as Editor-in-Chief of the IEEE Transactions on Communications. Currently, he serves as Chair of theComSoc Fellow Evaluation Committee, Member of the Editorial Board of the Proceedings of the IEEE, and ComSocDirector of Journals.

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Vehicles as a Service (VaaS): The Convergence ofCommunications, Computing, Storage and Intelligence (CCSI)

Yuguang “Michael” FangDepartment of Electrical andComputer Engineering,University of Florida, USA

Email: fang@ece.ufl.edu, http://www.fang.ece.ufl.edu/

Abstract: Connected and autonomous vehicles (CAVs) have emerged not only as ways of transportingpeople, but also as the platform for conducting other business. Intensive research activities have beenconducted to leverage CAVs to not only improve collision avoidance and safe driving, but also carry outsensing, communications, computing and intelligence harvesting. With vehicles equipped with powerfulcapability of communications, computing, storage and intelligence (namely CCSI capability), vehicles,including CAVs, in a city could automatically form a dynamicweb of sensing, communications, computing,storage, and intelligence harvesting, offering various services to smart city operations. In this talk, thespeaker will further elaborate this vision and discuss various related problems and design challenges. Byleveraging vehicles as a service (VaaS), novel network architecture can be developed to provide acost-effective solution to designing a smart city.

Speaker’s BiographyYuguang "Michael" Fang (IEEE Fellow) Dr. Yuguang "Michael" Fang received MS degreefrom Qufu Normal University, Shandong, China in 1987, PhD degree from Case Western ReserveUniversity in 1994 and PhD degree from Boston University in 1997. He was an assistant professorin Department of Electrical and Computer Engineering at New Jersey Institute of Technology from1998 to 2000. He then joined the Department of Electrical and Computer Engineering at Universityof Florida in 2000 and has been a full professor since 2005.He held a University of Florida ResearchFoundation (UFRF) Professorship (2006-2009, 2017-2020), a University of Florida Term

Professorship (2017-2019) and Changjiang Scholar Chair Professorship awarded by the Ministry of Education of China (iscurrently affiliated with Dalian Maritime University). Dr. Fang received the US National Science Foundation Career Awardin 2001 and the Office of Naval Research Young Investigator Award in 2002, 2018 IEEE Vehicular TechnologyOutstanding Service Award, 2015 IEEE Communications Society CISTC Technical Recognition Award, 2014 IEEECommunications Society WTC Recognition Award, and multiple Best Paper Awards from IEEE Globecom (2015, 2011and 2002) and IEEE ICNP (2006). He has also received 2010-2011 UF Doctoral Dissertation Advisor/Mentoring Award,2011 Florida Blue Key/UF Homecoming Distinguished Faculty Award, and the 2009 UF College of Engineering FacultyMentoring Award. He was the Editor-in-Chief of IEEE Transactions on Vehicular Technology (2013-2017), theEditor-in-Chief of IEEE Wireless Communications (2009-2012), and serves/served on several editorial boards of journalsincluding the Proceedings of the IEEE (2018-present), ACM Computing Surveys (2017-present), IEEE Transactions onMobile Computing (2003-2008, 2011-2016), IEEE Transactions on Communications (2000-2011), and IEEE TransactionsonWireless Communications (2002-2009). He has been actively participating in conference organizations such as serving asthe Technical Program Co-Chair for IEEE INFOCOM’2014 and the Technical Program Vice-Chair for IEEEINFOCOM'2005. He is the Director of Magazines of IEEE Communications Society and a Distinguished Lecturer of IEEEVehicular Technology. He is a fellow of the IEEE (2008) and a fellow of the American Association for the Advancement ofScience (AAAS) (2015).

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Physical Layer for Next GenerationWireless: Lessons Learnedfrom 5G and Directions for 6G

ErikG.LarssonDivision forCommunicationSystems,DeptofElectricalEngineering (ISY), LinköpingUniversity,

SwedenEmail:erik.g.larsson@liu.se,https://liu.se/en/employee/erila39

Abstract: The performance and quality-of-service bottleneck of wireless networks will always remain atthe physical layer. The main physical-layer technology component for sub-6 GHz in 5G,MassiveMIMO,evolved in less than ten years from a wild academic idea to a main component of 5G, and improvesperformance over conventional wireless access by orders of magnitude. I will talk about some importantlessons learned from the development of the fundamental theory behind this technology. Furthermore I willdiscuss future directions and visions for 6G physical-layer technology, especially scalable cell-free massiveMIMO, reflect-arrays and backscattering.

Speaker’s BiographyErik G. Larsson is (IEEE Fellow) is a professor and Head of the Division for CommunicationSystems in the Department of Electrical Engineering (ISY) at Linkoping University (LiU) inLinkoping, Sweden. He joined LiU in September 2007. He has previously held positions at the RoyalInstitute of Technology (KTH) in Stockholm, University of Florida, George Washington University(USA), and Ericsson Research (Stockholm). He received his Ph.D. from Uppsala University in 2002.In the spring of 2015 he was a Visiting Fellow at Princeton University, USA, for four months. Hismain professional interests arewithin the areas ofwireless communications and signal processing.

He co-authored Fundamentals of Massive MIMO (Cambridge, 2016) and Space-Time Block Coding for WirelessCommunications (Cambridge, 2003). Recent service includes membership of the IEEE Signal Processing Society AwardsBoard (2017– 2019), the IEEE Signal Processing Magazine editorial board (2018–2020), and the IEEE Transactions onWireless Communications steering committee (2019–2022). Awards include the IEEE ComSoc Stephen O. Rice Prize inCommunications Theory 2015, the IEEE ComSoc Leonard G. Abraham Prize 2017, the IEEE ComSoc Best Tutorial PaperAward 2018 and the IEEEComSocFredW. Ellersick Prize in 2019.He is a Fellow of the IEEE.

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OTFS-NOMA:An Efficient Approach for ExploitingHeterogenous UserMobility Profiles

ZhiguoDingSchool of Electrical and Electronic Engineering, theUniversity ofManchester, UK

Zhiguo.ding@mancheter.ac.uk, http://personalpages.manchester.ac.uk/staff/zhiguo.ding/index

Abstract: In this talk, we will focus on a challenging communication scenario, in which users haveheterogenous mobility profiles, e.g., some users are moving at high speeds and some users are static. Anew non-orthogonal multiple-access (NOMA) transmission protocol that incorporates orthogonal timefrequency space (OTFS) modulation is described, where users with different mobility profiles are groupedtogether for the implementation of NOMA. We will show that both the high-mobility and thelow-mobility users benefit from the application of OTFS-NOMA. In particular, the use of NOMA allowsthe spreading of the high-mobility users' signals over a large amount of time-frequency resources, whichenhances the OTFS resolution and improves the detection reliability. In addition, OTFS-NOMA ensuresthat low-mobility users have access to bandwidth resources which in conventionalOTFS-orthogonal multiple access (OTFS-OMA) would be solely occupied by the high-mobility users.Thus, OTFS-NOMA improves the spectral efficiency and reduces latency. Some important future directionsaboutOTFS-NOMAwill be also discussed at the end of this talk.

Speaker’s BiographyZhiguo Ding received his B.Eng in Electrical Engineering from the Beijing University of Postsand Telecommunications in 2000, and the Ph.D degree in Electrical Engineering from ImperialCollege London in 2005. From Jul. 2005 to Apr. 2018, he was working in Queen’s UniversityBelfast, Imperial College, Newcastle University and Lancaster University. Since Apr. 2018, hehas been with the University of Manchester as a Professor in Communications. From Sept.2012 to Sept. 2018, he has also been an academic visitor in PrincetonUniversity.

Dr Ding’ research interests are 5G networks, game theory, cooperative and energy harvestingnetworks and statistical signal processing. He has been serving as an Editor for IEEETransactions on Communications, IEEE Transactions on Vehicular Networks, and Journal ofWireless Communications and Mobile Computing, and served as an editor for IEEE WirelessCommunication Letters and IEEE Communication Letters. He was the TPC Co-Chair for the

6th IET International Conference on Wireless, Mobile & Multimedia Networks (ICWMMN2015), Symposium Chair forInternational Conference on Computing, Networking and Communications. (ICNC 2016), and the 25thWireless and OpticalCommunication Conference (WOCC), and Co-Chair of WCNC-2013 Workshop on New Advances for Physical LayerNetwork Coding. He received the best paper award in IET Comm. Conf. onWireless, Mobile and Computing, 2009 and the2015 International Conference on Wireless Communications and Signal Processing (WCSP 2015), IEEE CommunicationLetter Exemplary Reviewer 2012, the EU Marie Curie Fellowship 2012-2014, IEEE TVT Top Editor 2017, 2018 IEEEComSoc Heinrich Hertz Award, 2018 IEEE VTS Jack Neubauer Memorial Award, and , and 2018 IEEE SPS Best SignalProcessing LetterAward..

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Finite-Time Distributed Data Diffusion in DecentralizedNetworks

JingxianWuDepartment of Electrical Engineering, University ofArkansas, USA

Email:wuj@uark.edu, https://wuj.hosted.uark.edu/

Abstract:This talk focuses on finite-time distributed data diffusion in time-invariant decentralized networks.The objective of distributed data diffusion is to disseminate data local at each node to all other nodes in thenetwork without a central controller. We propose to achieve distributed data diffusion with a linear iterativeinformation propagation algorithm. In the proposed algorithm, each node maintains and updates a statevector with size much less than the number of nodes in the network. In each iteration a node broadcasts itscurrent state vector to all its neighbors. The state vector at a node is iteratively updated by using a linearcombination of its own state vector and those from all its neighbors in the previous iteration. The algorithmconverges when all nodes have a copy of the data from all other nodes in the network. We analyticallyidentify the design parameters that guarantee the convergence of the algorithm in diameter time, that is, thenumber of iterations required for convergence equals the network diameter. The optimum designs ofsquared grid network and random Erdos-Renyi network are studied by using the analytical results. Thealgorithm is efficient with guaranteed diameter time convergence, and it is scalable in that the total amountof data transmitted by each node throughout the iterative process scales linearly with the number of nodes inthe network.

Speaker’s BiographyJingxianWu received theB.S. (EE) degree from the BeijingUniversity ofAeronautics andAstronautics,Beijing, China, in 1998, theM.S. (EE) degree from TsinghuaUniversity, Beijing, China, in 2001, and thePh.D. (EE) degree from the University of Missouri at Columbia, Missouri, USA, in 2005. He is currentlya Professor with the Department of Electrical Engineering, University of Arkansas, Fayetteville. Hisresearch interests mainly focus on statistical signal processing, large scale data analytics, biomedicalsignal processing, and wireless communications. He is appointed as a distinguished lecture by the IEEEVehicular Technology Society for 2018 and 2019. He served as symposium or track co-chairs for a

number of international conferences, such as the 2012 and 2019 IEEE International Conference on Communications, the2009, 2015, and 2017 IEEE Global Telecommunications Conference, the 2017 International Conference onCommunications in China, and the 2017 Wireless Communication and Signal Processing Conference, etc. He served as anAssociate Editor of the IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY from 2007 to 2011 an Editor of theIEEE TRANSACTIONS ONWIRELESS COMMUNICATIONS from 2011 to 2016, and is now serving as an AssociateEditor of the IEEEACCESS.

19

Service Scheduling and ResourceManagement for FutureWireless Communication Networks

LianZhaoDepartment of Electrical andComputer Engineering, RyersonUniversity, Canada

Email: lzhao@ee.ryerson.ca, http://www.ee.ryerson.ca/~lzhao/

Abstract: Future wireless communication networks are expected to support an unprecedented scale of userservice demands. A promising approach to support such demands is to integrate additional service providers,such as unmanned aerial vehicles (UAVs) and satellites, into communication networks to extend networkservice coverage and capacity. Consequently, users can enjoy services, i.e., offloading their local computingtasks to either conventional base stations, UAVs, or satellites. However, efficient user service offloadingrequires well-designed service scheduling or resource management algorithms. In this talk, three problemsrelated to service scheduling and resource management are introduced. First, service scheduling at a singlemobile edge server is investigated, and scheduling algorithms are proposed to minimize a weighted sum ofdelay and energy consumption. Then, UAV assisted computing service offloading is studied to maximizeUAV energy efficiency by jointly optimizing UAV trajectory, user transmit power, and service loadallocation. Last, service offloading in an integrated terrestrial-satellite system is investigated considering theservice capacity, service load, service cost, and utilities of different service providers. Low-complexityoffloading algorithms are proposed for the integrated system. Through the three parts, the study ofoffloading and resourcemanagement covers multiple applications with different scopes and provides insightfor effective service provisioning in future wireless networks.

Speaker’s BiographyDr. Zhao received her Ph.D. degree from the Department of Electrical and Computer Engineering(ELCE), University of Waterloo, Canada, in 2002. She joined the Department of Electrical,Computer, & Biomedical Engineering at Ryerson University, Toronto, Canada, in 2003 and aProfessor in 2014. She received the Best Land Transportation Paper Award from IEEE VehicularTechnology Society in 2016; Best Paper Award from the 2013 International Conference onWireless Communications and Signal Processing (WCSP) and Best Student Paper Award (withher student) from Chinacom in 2011; the Canada Foundation for Innovation (CFI) NewOpportunityResearchAward in 2005.

She is serving as an Editor for IEEE Transaction on Vehicular Technology and IEEE Internet of Things Journal; Generalco-Chair for IEEE GreeenCom 2018, co-chair for Wireless Communication Symposium for ICC 2018; co-chair for IEEEGlobal Communications Conference (GLOBECOM) 2013 Communication Theory Symposium. She served as a committeemember for NSERC (Natural Science and Engineering Research Council of Canada) Discovery Grants Evaluation Group forElectrical and Computer Engineering 2015-2018. She is a licensed Professional Engineer in the Province of Ontario, a seniormember of the IEEECommunication andVehicular Technology Society.

20

6Gwireless:Wireless Networks Empowered by ReconfigurableIntelligent Surfaces

MarcoDiRenzoLaboratory of Signals and Systems (L2S) of Paris-SaclayUniversity - CNRS,CentraleSupélec, Univ Paris

Sud, Paris, France, Email: marco.di.renzo@gmail.com

Abstract: Future wireless networks will constitute a distributed intelligent communications, sensing, andcomputing platform. Small cells, Massive MIMO, millimeter-wave communications are three fundamentalapproaches to meet the requirements of 5G wireless networks. Their advantages are undeniable. Thequestion is, however, whether these technologies will be sufficient to meet the requirements of futurewireless networks that integrate communications, sensing, and computing in a single platform. Wirelessnetworks, in addition, are rapidly evolving towards a software-defined design paradigm, where every part ofthe network can be configured and controlled via software. In this optimization process, however, thewireless environment remains an uncontrollable factor: It remains unaware of the communication processundergoing within it. Apart from being uncontrollable, the environment has a negative effect on thecommunication efficiency: signal attenuation limits the network connectivity, multi-path propagation resultsin fading phenomena, reflections and refractions from objects are a source of uncontrollable interference. Inthe recent period, a brand-new technology, which is referred to as Reconfigurable Intelligent Surfaces(RISs), was brought to the attention of the wireless community. The wireless future that can be envisionedby using this technology consists of coating every environmental object with man-made reconfigurablesurfaces of electromagnetic material (software-defined reconfigurable metasurfaces) that are electronicallycontrolled with integrated electronics and wireless communications. In contrast to any other technologycurrently being used in wireless networks, the distinctive characteristic of the RISs consists of making theenvironment fully controllable by the telecommunication operators, by allowing them to shape and controlthe electromagnetic response of the objects distributed throughout the network. The RISs are a promisingbut little understood technology that has the potential of fundamentally changing howwireless networks aredesigned today. In this talk, wewill discuss the potential of RIS in 6Gwireless networks.

Speaker’s BiographyMarco Di Renzo was born in L'Aquila, Italy, in 1978. He received the Laurea (cum laude) andPh.D. degrees in electrical engineering from the University of L'Aquila, Italy, in 2003 and 2007,respectively, and the Habilitation à Diriger des Recherches (Doctor of Science) degree fromUniversity Paris-Sud, France, in 2013. Since 2010, he has been with the Laboratory of Signals andSystems (L2S) of Paris-Saclay University - CNRS, CentraleSupélec, Univ Paris Sud, Paris,France, where he is now a CNRS Research Director (CNRS Professor). He serves as theEditor-in-Chief of IEEE Communications Letters, and as an Editor of IEEE Transactions onCommunications, and IEEE Transactions on Wireless Communications. He is a DistinguishedLecturer of the IEEE Vehicular Technology Society and IEEE Communications Society, and a

Senior Member of the IEEE. He is a recipient of several awards, including the 2013 IEEE-COMSOC Best Young ResearcherAward for Europe, Middle East and Africa, the 2013 NoE-NEWCOM# Best Paper Award, the 2014-2015 Royal Academy ofEngineering Distinguished Visiting Fellowship, the 2015 IEEE Jack Neubauer Memorial Best System Paper Award, the2015-2018 CNRS Award for Excellence in Research and Ph.D. Supervision, the 2016 MSCA Global Fellowship (declined),the 2017 SEE-IEEE Alain Glavieux Award, the 2018 IEEE-COMSOC Young Professional in Academia Award, and 8 BestPaper Awards at IEEE conferences (2012 and 2014 IEEE CAMAD, 2013 IEEE VTC-Fall, 2014 IEEE ATC, 2015 IEEEComManTel, 2017 IEEESigTelCom, EAI 2018 INISCOM, IEEE ICC2019).

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UsefulInformation

Registration:

MeetingRoom 148#, AdminBuilding, XipuCampus, Southwest JiaotongUniversity. 西南交通大学犀浦

校区行政楼一楼 148#会议室 http://www.swjtu.edu.cn, http://csnmt.swjtu.edu.cn/aicwc2018/

GuestsHotel:

Crowne Plaza ChengduWest. (成都高新皇冠假日酒店), No.1XixinAvenue,High-TechnologyWestZone , Chengdu, South Carolina, 610041, China, Tel: +86-28-87826666,https://www.ihg.com/crowneplaza/hotels/gb/en/chengdu/ctucp/hoteldetail

AcademicContacts:

Xuming Fang, Chair of IEEEVTSChengduChapter, xmfang@swjtu.edu.cn, Tel: 135 5013 0506Xiaohu Tang, Chair of IEEE ITSChengduChapter, xhutang@swjtu.edu.cn, Tel: 135 4814 1837ZhengMa, Chair of IEEEComSocChengduChapter, zma@swjtu.du.edu.cn, Tel: 132 5821 8888

Logistics Contacts:

Yan Jiang, AdminOfficer of CSNMTCentre, SWJTU, jiangyan624@swjtu.edu.cn, Tel. 158 2863 7883LinXie, AdminOfficer, IMC, SWJTU, 522795218@qq.com, Tel: 187 0815 2805Lin Liu, Head ofDepartment, SWJTU, lliu@home.swjtu.edu.cn, Tel: 136 7800 1026

Weather inChengdu:At the end of October and the beginning of November, the weather in Chengdu is relative mild, and thetemperature is between 10-18℃. In Chengdu, autumn usually starts from September and lasts till the end ofOctober or earlyNovember. The temperature drops quickly, and theremay be rain.

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Map of AICWC’2018 Venue, Xipu Campus, SWJTU

AICWC’2019 VenueMeeting Room 148#,Admin Building, XipuCampus, SWJTU