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Reconfigurable intelligent surface (RIS) is a promising candidate technologyfor the upcoming Sixth Generation (6G) communication system for its ability tomanipulate the wireless communication environment by controlling thecoefficients of reflection elements (REs). However, since the RIS usuallyconsists of a large number of passive REs, the pilot overhead for channelestimation in the RIS-aided system is prohibitively high. In this paper, thechannel estimation problem for a RIS-aided multi-usermultiple-input-single-output (MISO) communication system with clustered usersis investigated. First, to describe the correlated feature for RIS-userchannels, a beam domain channel model is developed for RIS-user channels. Then,a pilot reuse strategy is put forward to reduce the pilot overhead anddecompose the channel estimation problem into several subproblems. Finally, byleveraging the correlated nature of RIS-user channels, an eigenspace projection(EP) algorithm is proposed to solve each subproblem respectively. Simulationresults show that the proposed EP channel estimation scheme can achieveaccurate channel estimation with lower pilot overhead than existing schemes.

Channel Estimation for Reconfigurable Intelligent Surface-Aided  Multiuser Communication Systems Exploiting Statistical CSI of Correlated  RIS-User Channels