AIDSRC Seminar Series - Prof. Ekram Hossain

Title:

Machine Learning-Based Channel Estimation in RIS-Aided Wireless Systems

Abstract:

Reconfigurable intelligent surfaces (RISs), which can enable smart and reconfigurable wireless environments, will be used to improve capacity, coverage, and energy efficiency in future generation wireless systems. As in other wireless systems, channel estimation is a fundamental problem in an RIS-aided wireless system. A large number of fully-passive antenna elements in an RIS and/or at the transmitter and/or at the receiver, the channel estimation problem becomes very challenging. In this talk, I will present a channel estimation algorithm based on variational inference and unsupervised learning, for an RIS-aided single-user single-input multiple-output (SIMO) system with fully passive RIS elements to separately estimate the user device-to-RIS and RIS-base station channels. The solution is flexible and takes into account the sparsity of mmWave channels. Also, the solution approach is general, and in principle, can be used for many types of channels. for I will showcase the effectiveness of our channel estimation framework in terms of channel capacity and approximation error.

Bio:

Ekram Hossain (F’15) is a Professor and the Associate Head (Graduate Studies) in the Department of Electrical and Computer Engineering at University of Manitoba, Canada. He is a Member (Class of 2016) of the College of the Royal Society of Canada. Also, he is a Fellow of the Canadian Academy of Engineering and a Fellow of the Engineering Institute of Canada. Dr. Hossain's current research interests include design, analysis, and optimization beyond 5G cellular wireless networks. He was elevated to an IEEE Fellow “for contributions to spectrum management and resource allocation in cognitive and cellular radio networks". He received the 2017 IEEE ComSoc TCGCC (Technical Committee on Green Communications & Computing) Distinguished Technical Achievement Recognition Award “for outstanding technical leadership and achievement in green wireless communications and networking”. Dr. Hossain has won several research awards including the “2017 IEEE Communications Society Best Survey Paper Award and the 2011 IEEE Communications Society Fred Ellersick Prize Paper Award. He was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2017, 2018, 2019, 2020, 2021, and 2022. Currently he serves as an Editor for the IEEE Transactions on Mobile Computing. Previously, he served as the Editor-in-Chief (EiC) of the IEEE Press (2018-2021) and the EiC of the IEEE Communications Surveys and Tutorials (2012-2016). He was a Distinguished Lecturer of the IEEE Communications Society and the IEEE Vehicular Technology Society. He served as the Director of Magazines for the IEEE Communications Society (2020-2021). Also, he was an elected member of the Board of Governors of the IEEE Communications Society for the term 2018-2020. He serves as the Director of Online Content for the IEEE Communications Society (2022-2023).