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Paper Detail

Paper IDW.2.4
Paper Title Message-Passing Based Channel Estimation for Reconfigurable Intelligent Surface Assisted MIMO
Authors Hang Liu, The Chinese University of Hong Kong, China; Xiaojun Yuan, University of Electronic Science and Technology of China, China; Ying-Jun Angela Zhang, The Chinese University of Hong Kong, China
Session W.2: Intelligent Surface
Presentation Lecture
Track Wireless Communications
Manuscript  Click here to download the manuscript
Virtual Presentation  Click here to watch in the Virtual Symposium
Abstract In this paper, we study the channel acquisition problem in a reconfigurable intelligent surface (RIS) assisted multiuser multiple-input multiple-output (MIMO) system, where an RIS with fully passive phase-shift elements is deployed to assist the MIMO communication. The state-of-the-art channel acquisition approach in such a system estimates the cascaded transmitter-to-RIS and RIS-to-receiver channels by adopting excessively long training sequences. To estimate the cascaded channels with an affordable training overhead, we formulate the channel estimation problem as a matrix-calibration based matrix factorization task. By exploiting the information on the slow-varying channel components and the hidden channel sparsity, we propose a novel message-passing based algorithm to factorize the cascaded channels.

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2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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