Efficient Channel Estimation for Double-IRS Aided Multi-User MIMO System
Beixiong Zheng, Changsheng You, Rui Zhang

TL;DR
This paper introduces an efficient channel estimation method for double-IRS aided multi-user MIMO systems, significantly reducing complexity and improving accuracy by leveraging scaled lower-dimensional CSI for both single- and double-reflection links.
Contribution
It proposes a novel cascaded channel estimation scheme that exploits the scaled relationships of CSI in double-IRS systems, applicable to both single-user and multi-user scenarios.
Findings
Effective estimation of cascaded channels demonstrated through simulations.
Significant performance improvements over benchmark schemes.
Joint training reflection design enhances system efficiency.
Abstract
To achieve the more significant passive beamforming gain in the double-intelligent reflecting surface (IRS) aided system over the conventional single-IRS counterpart, channel state information (CSI) is indispensable in practice but also more challenging to acquire, due to the presence of not only the single- but also double-reflection links that are intricately coupled and also entail more channel coefficients for estimation. In this paper, we propose a new and efficient channel estimation scheme for the double-IRS aided multi-user multiple-input multiple-output (MIMO) communication system to resolve the cascaded CSI of both its single- and double-reflection links. First, for the single-user case, the single- and double-reflection channels are efficiently estimated at the multi-antenna base station (BS) with both the IRSs turned ON (for maximal signal reflection), by exploiting the fact…
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