Titre: User-centric Modeling and Performance Evaluation in Future Wireless Communication Networks
Conférencier: Wei-Ping Zhu , Electrical and Computer Engineering, COncordia University
Lieu: Zoom - https://us02web.zoom.us/j/88514786563?pwd=Q2FIZmM2dXltU25LMmllUExqMUYrUT0 ,
Date et heure: jeudi le 10 novembre 2022 de 10:30 à 12:00

Résumé: Future wireless communication networks feature a massive number of connected devices and a huge demand for high data rates. Dense deployment of small cell base stations (BSs) in future networks has received a great deal of attention both in academia and industry. A major challenge in dense networks is the interference experienced by users from their neighboring active BSs. A promising solution is to move from cell-centric to user-centric paradigm, allowing each user to be served by a cluster of BSs. This talk introduces several technologies for future wireless communication systems including millimeter wave (mmWave) and terahertz (THz) networks, unmanned aerial vehicle (UAV)-assisted networks, and hybrid multi-tier networks. We first investigate the performance of a user-centric mmWave network based on a dynamic BS clustering model and a stochastic geometry tool. An optimization framework for the user’s serving cluster is designed to maximize the system spectral efficiency. Considering both dynamic and static clustering, we then study the coverage probability of user-centric THz networks. Next, we extend our user-centric clustering model to 3-D space for energy-efficient air-to-air UAV communication, and provide analytical expressions for the spectral efficiency and energy efficiency of this user-centric UAV network. Furthermore, we consider a user-centric BS clustering for hybrid THz, mmWave, and sub 6-GHz networks, where a user can be associated with the best BS cluster, from either a sub6-GHz, mmWave or THz tier based on either the maximum SINR or the maximum rate criterion. Finally, we adopt the proposed user-centric clustering model to enhance the joint rate and energy coverage of cellular networks with simultaneous wireless information and power transfer (SWIPT). We demonstrate that our analytical results highly agree with Monte-Carlo simulations, thus providing valuable insights for future user-centric wireless network design and deployment.

Note biographique: Wei-Ping Zhu received his Ph.D. degree from Southeast University, Nanjing, China in 1991 in electrical engineering. He was a Postdoctoral Fellow from 1991 to 1992 and a Research Associate from 1996 to 1998 with the Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada. During 1993-1996, he was an Associate Professor with the Department of Information Engineering, Nanjing University of Posts and Telecommunications. From 1998 to 2001, he worked with hi-tech companies in Ottawa, Canada, including Nortel Networks and SR Telecom Inc. Since July 2001, he has been with Concordia’s Electrical and Computer Engineering Department as a full-time faculty member, where he is presently a Full Professor. He was the Secretary of Digital Signal Processing Technical Committee (DSPTC) of the IEEE Circuits and System Society during June 2012-May 2014, and the Chair of the DSPTC during June 2014-May 2016. He served as an Associate Editor for the IEEE Transactions on Circuits and Systems Part I: Fundamental Theory and Applications (2001-2003), an Associate Editor for Circuits, Systems and Signal Processing (2006-2009), and an Associate Editor for the IEEE Transactions on Circuits and Systems Part II: Transactions Briefs (2011-2015). He was also a Guest Editor for the IEEE Journal on Selected Areas in Communications for the special issues of: Broadband Wireless Communications for High Speed Vehicles, and Virtual MIMO (2011-2013). He was an Associate Editor for Journal of The Franklin Institute (JFI) (2015-2019). Since January 2020, he has served as a Subject Editor for JFI. His current research interests include digital signal processing and machine learning, speech and statistical signal processing, and signal processing for wireless communication with a particular focus on MIMO systems and millimeter wave networks.

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