Channel Estimation for Double-BD-RIS-Assisted Multi-User MIMO Communication
Junyuan Gao, Shuowen Zhang, Liang Liu

TL;DR
This paper introduces an efficient channel estimation method for double-BD-RIS-assisted multi-user MIMO systems, reducing overhead by exploiting low-dimensional matrix representations of high-dimensional channels, and demonstrates its effectiveness through simulations.
Contribution
It proposes a novel low-overhead channel estimation framework for double-BD-RIS systems by leveraging channel correlation properties and characterizing the estimation complexity.
Findings
Estimation overhead scales similarly to diagonal-RIS systems.
Cooperative BD-RIS outperforms diagonal-RIS in channel estimation.
The scheme is effective even in noisy environments.
Abstract
Deploying multiple beyond diagonal reconfigurable intelligent surfaces (BD-RISs) can potentially improve the communication performance thanks to inter-element connections of each BD-RIS and inter-surface cooperative beamforming gain among BD-RISs. However, a major issue for multi-BD-RISassisted communication lies in the channel estimation overhead - the channel coefficients associated with the off-diagonal elements in each BD-RIS's scattering matrix as well as those associated with the reflection links among BD-RISs have to be estimated. In this paper, we propose an efficient channel estimation framework for double-BD-RIS-assisted multi-user multipleinput multiple-output (MIMO) systems. Specifically, we reveal that high-dimensional cascaded channels are characterized by five low-dimensional matrices by exploiting channel correlation properties. Based on this novel observation, in the…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Advanced Wireless Communication Techniques · Advanced MIMO Systems Optimization
