Channel Estimation for Beyond Diagonal RIS-Aided Multi-User mmWave Systems
Linyu Peng, Tian Qiu, Cunhua Pan, Jiangzhou Wang, Taihao Zhang, Hong Ren

TL;DR
This paper introduces a novel channel estimation protocol for complex BD-RIS-aided mmWave systems, leveraging a block-Kronecker structure to improve accuracy and reduce pilot overhead.
Contribution
It proposes a three-stage estimation protocol exploiting the cascaded channel sparsity and structure for efficient multi-user channel estimation in BD-RIS systems.
Findings
Improved channel estimation accuracy demonstrated in simulations.
Significant reduction in pilot overhead compared to traditional methods.
Efficient reconstruction of common and user-specific channel components.
Abstract
Beyond diagonal reconfigurable intelligent surface (BD-RIS) represents a promising architecture for advancing millimeter-wave (mmWave) communications. However, its intricate inter-element connections invalidate the conventional decoupled mathematical structure, thereby severely complicating cascaded channel estimation. In this paper, we formulate a novel block-Kronecker-structured cascaded channel model for a \textit{group-connected} BD-RIS-aided multi-user (MU) mmWave system equipped with uniform planar arrays (UPAs). By exploiting the cascaded channel sparsity, an efficient three-stage estimation protocol is proposed. Specifically, Stage I acquires the common angles of arrival (AoAs) at the base station (BS) via a discrete Fourier transform (DFT)-based approach. Stage II leverages the block-Kronecker structure alongside orthogonal matching pursuit (OMP) and correlation-based least…
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