Channel Estimation for RIS-Aided Multi-User mmWave Systems with Uniform Planar Arrays

Peng Z, Zhou G, Pan C, Ren H, Lee Swindlehurst A, Popovski P, Wu G (2022)


Publication Type: Journal article

Publication year: 2022

Journal

Pages Range: 1-1

DOI: 10.1109/TCOMM.2022.3214892

Abstract

In this paper, we adopt a three-stage based uplink channel estimation protocol with reduced pilot overhead for an reconfigurable intelligent surface (RIS)-aided multi-user (MU) millimeter wave (mmWave) communication system, in which both the base station (BS) and the RIS are equipped with a uniform planar array (UPA). Specifically, in Stage I, the channel state information (CSI) of a typical user is estimated. To address the power leakage issue for the common angles-of-arrival (AoAs) estimation in this stage, we develop a low-complexity one-dimensional search method. In Stage II, a re-parameterized common BS-RIS channel is constructed with the estimated information from Stage I to estimate other users’ CSI. In Stage III, only the rapidly varying channel gains need to re-estimated. Furthermore, the proposed method can be extended to multi-antenna UPA-type users, by decomposing the estimation of a multi-antenna channel with J scatterers into estimating J single-scatterer channels for a virtual single-antenna user. An orthogonal matching pursuit (OMP)-based method is proposed to estimate the angles-of-departure (AoDs) at the users. Simulation results demonstrate that the proposed algorithm significantly achieves high channel estimation accuracy, which approaches the genie-aided upper bound in the high signal-to-noise ratio (SNR) regime.

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APA:

Peng, Z., Zhou, G., Pan, C., Ren, H., Lee Swindlehurst, A., Popovski, P., & Wu, G. (2022). Channel Estimation for RIS-Aided Multi-User mmWave Systems with Uniform Planar Arrays. IEEE Transactions on Communications, 1-1. https://doi.org/10.1109/TCOMM.2022.3214892

MLA:

Peng, Zhendong, et al. "Channel Estimation for RIS-Aided Multi-User mmWave Systems with Uniform Planar Arrays." IEEE Transactions on Communications (2022): 1-1.

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