2-5 July 2023, Hanoi, Vietnam

Special Session 1: Signal Processing Challenges for 6G

The standardization for 5G wireless systems is maturing and researchers around the world have already started to look at beyond the 5G systems. Although the next G gossip is at a premature stage, this Special Session aims to bring together practitioners and researchers from both academia and industry for discussions and technical presentations of the vision, challenges and key enabling signal processing technologies envisioned by the signal processing community. It will be composed of one keynote talk and two technical session(s). This Special Session welcomes original contributions in all pertinent aspects and challenges of signal processing for communications, including design, analysis, implementation, and application. More specifically, original contributions are solicited in topics including, but not limited to, the following:
  • Signal processing techniques in B5G/6G
  • Intelligent signal processing for communication systems
  • Deep learning enabled end-to-end communication systems
  • Signal processing for data analytics and machine learning
  • Semantic communication systems
  • Multi-antenna (SIMO, MISO, MIMO, Massive MIMO), multi-user, centralized and distributed multi node systems
  • Decentralized and cooperative signal processing in networked systems
  • Channel estimation and equalization
  • Signal transmission, detection, and synchronization
  • Novel architectures for signal demodulation and decoding
  • Source coding, channel coding, and joint source-channel coding
  • Signal processing for single-carrier, OFDM/OFDMA, multicarrier systems including new waveforms
  • Signal processing for quality of service-based applications
  • Signal processing for quality of experience-based applications
  • Signal processing for security enhancement particularly physical layer security
  • Signal processing for sensor networks and IoT applications
  • Signal processing for optical communications
  • Signal processing for millimeter and terahertz communication systems
  • Signal processing for intelligent reflecting surface
  • Signal processing for smart grid and powerline communications
  • Signal processing techniques for full-duplex communications
  • Signal processing for green communications, energy harvesting and wireless power transmission
  • Signal processing techniques for commercial/standardized and emerging systems
  • Signal processing for multimedia services
  • Signal processing for wearable communications
  • Compressive sensing algorithms and their applications in wireless communications
  • Spectrum sensing, shaping, and management techniques
  • Localization, positioning, and tracking techniques
  • Interference cancellation techniques in communications systems including NOMA
  • Spatial transmission and distributed transmission techniques.


IEEE SPS Dr. Mérouane Debbah, Technology Innovation Institute (TII), Abu Dhabi, United Arab Emirates
Biography: Mérouane Debbah is Chief Researcher at the Technology Innovation Institute in Abu Dhabi. He is a Professor at Centralesupelec (France) and an Adjunct Professor with the Department of Machine Learning at the Mohamed Bin Zayed University of Artificial Intelligence in Abu Dhabi. He received the M.Sc. and Ph.D. degrees from the Ecole Normale SupĂ©rieure Paris-Saclay, France. He was with Motorola Labs, Saclay, France, from 1999 to 2002, and then with the Vienna Research Center for Telecommunications, Vienna, Austria, until 2003. From 2003 to 2007, he was an Assistant Professor with the Mobile Communications Department, Institut Eurecom, Sophia Antipolis, France. In 2007, he was appointed Full Professor at CentraleSupelec, Gif-sur-Yvette, France. From 2007 to 2014, he was the Director of the Alcatel-Lucent Chair on Flexible Radio. From 2014 to 2021, he was Vice-President of the Huawei France Research Center. He was jointly the director of the Mathematical and Algorithmic Sciences Lab as well as the director of the Lagrange Mathematical and Computing Research Center. Since 2021, he is leading the AI & Digital Science Research centers at the Technology Innovation Institute. He has managed 8 EU projects and more than 24 national and international projects. His research interests lie in fundamental mathematics, algorithms, statistics, information, and communication sciences research. He holds more than 40 patents. He is an IEEE Fellow, a WWRF Fellow, a Eurasip Fellow, an AAIA Fellow, an Institut Louis Bachelier Fellow and a Membre émérite SEE. He was a recipient of the ERC Grant MORE (Advanced Mathematical Tools for Complex Network Engineering) from 2012 to 2017. He was a recipient of the Mario Boella Award in 2005, the IEEE Glavieux Prize Award in 2011, the Qualcomm Innovation Prize Award in 2012, the 2019 IEEE Radio Communications Committee Technical Recognition Award and the 2020 SEE Blondel Medal. He received more than 25 best paper awards, among which the 2007 IEEE GLOBECOM Best Paper Award, the Wi-Opt 2009 Best Paper Award, the 2010 Newcom++ Best Paper Award, the WUN CogCom Best Paper 2012 and 2013 Award, the 2014 WCNC Best Paper Award, the 2015 ICC Best Paper Award, the 2015 IEEE Communications Society Leonard G. Abraham Prize, the 2015 IEEE Communications Society Fred W. Ellersick Prize, the 2016 IEEE Communications Society Best Tutorial Paper Award, the 2016 European Wireless Best Paper Award, the 2017 Eurasip Best Paper Award, the 2018 IEEE Marconi Prize Paper Award, the 2019 IEEE Communications Society Young Author Best Paper Award, the 2021 Eurasip Best Paper Award, the 2021 IEEE Marconi Prize Paper Award, the 2022 IEEE Communications Society Outstanding Paper Award, the 2022 ICC Best paper Award, the 2022 IEEE GLOBECOM Best Paper Award, 2022 IEEE TAOS TC Best GCSN Paper Award as well as the Valuetools 2007, Valuetools 2008, CrownCom 2009, Valuetools 2012, SAM 2014, and 2017 IEEE Sweden VT-COM-IT Joint Chapter best student paper awards. He is an Associate Editor-in-Chief of the journal Random Matrix: Theory and Applications. He was an Associate Area Editor and Senior Area Editor of the IEEE TRANSACTIONS ON SIGNAL PROCESSING from 2011 to 2013 and from 2013 to 2014, respectively. From 2021 to 2022, he served as an IEEE Signal Processing Society Distinguished Industry Speaker.

IEEE SPS Dr. Daniel Benevides da Costa, Technology Innovation Institute (TII), Abu Dhabi, United Arab Emirates
Biography: Daniel Benevides da Costa was born in Fortaleza, Ceará , Brazil, in 1981. He received the B.Sc. degree in Telecommunications from the Military Institute of Engineering (IME), Rio de Janeiro, Brazil, in 2003, and the M.Sc. and Ph.D. degrees in Electrical Engineering, Area: Telecommunications, from the University of Campinas, SP, Brazil, in 2006 and 2008, respectively. His Ph.D thesis was awarded the Best Ph.D. Thesis in Electrical Engineering by the Brazilian Ministry of Education (CAPES) at the 2009 CAPES Thesis Contest. From 2008 to 2009, he was a Postdoctoral Research Fellow with INRS-EMT, University of Quebec, Montreal, QC, Canada. From 2010 to 2022, he was with the Federal University of Ceará, Brazil. From January 2019 to April 2019, he was Visiting Professor at Lappeenranta University of Technology (LUT), Finland, with financial support from Nokia Foundation. He was awarded with the prestigious Nokia Visiting Professor Grant. From May 2019 to August 2019, he was with King Abdullah University of Science and Technology (KAUST), Saudi Arabia, as a Visiting Faculty, and from September 2019 to November 2019, he was a Visiting Researcher at Istanbul Medipol University, Turkey. From 2021 to 2022, he was Full Professor at the National Yunlin University of Science and Technology (YunTech), Taiwan. Since 2022, he is Principal Researcher of the AI and Digital Science Research Center at the Technology Innovation Institute (TII), a global research center and the applied pillar of Abu Dhabi's Advanced Technology Research Council. He is Editor of several IEEE journals and has acted as Symposium/Track Co-Chair in numerous IEEE flagship conferences.

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