RIS Configuration, Beamformer Design, and Power Control in Single-Cell and Multi-Cell Wireless Networks
Stefano Buzzi, Carmen D'Andrea, Alessio Zappone, Maria Fresia, and Yong-Ping Zhang, Shulan Feng

TL;DR
This paper explores RIS-assisted multiuser wireless networks, proposing channel estimation and resource allocation algorithms that significantly enhance system performance in single and multi-cell scenarios.
Contribution
It introduces novel algorithms for channel estimation and resource allocation in RIS-assisted networks, including beamformer and power control strategies for improved performance.
Findings
RIS improves wireless system performance substantially.
Proposed algorithms effectively optimize beamforming and power control.
Numerical results confirm significant gains with RIS deployment.
Abstract
Reconfigurable Intelligent Surfaces (RISs) are recently attracting a wide interest due to their capability of tuning wireless propagation environments in order to increase the system performance of wireless networks. In this paper, a multiuser wireless network assisted by a RIS is studied and resource allocation algorithms are presented for several scenarios. First of all, the problem of channel estimation is considered, and an algorithm that permits separate estimation of the mobile user-to-RIS and RIS-to-base stations components is proposed. Then, for the special case of a single-user system, three possible approaches are shown in order to optimize the Signal-to-Noise Ratio with respect to the beamformer used at the base station and to the RIS phase shifts. Next, for a multiuser system with two cells, assuming channel-matched beamforming, the geometric mean of the downlink…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Antenna Design and Analysis · Indoor and Outdoor Localization Technologies
