This paper presents a preliminary analysis on the impact of Reconfigurable Intelligent Surfaces (RISs) for the realization of multi-user Distributed multiple input multiple output (DMIMO) systems, where the distributed units are actually RISs. Assuming no direct link between the multi-antenna Access Point (AP) and the users, we design the joint transmit beamforming from the AP to the set of RISs associated to each user, performed via RIS phase shift shaping. In order to comply with the semipassive nature of RISs, the phase shifts are computed via a Genetic Algorithm (GA), where the optimization is based on the Signal-to-Leakage-and-Noise-Ratio (SLNR) precoding scheme. Numerical results confirm that this GA implementation significantly outperforms the common Maximum Ratio Beamforming (MRB) approach in terms of interference suppression and sumrate, but at the price of a significant increase in computational complexity. Our solution justify the interest of a multi-RIS system for spatial multiplexing, and opens to several further research directions.

A study on multi-RIS for multi-user distributed MIMO systems / Tuninato, Riccardo; Alfano, Giuseppa; Daneshgaran, Fred; Garello, Roberto; Mondin, Marina. - ELETTRONICO. - (2023), pp. 323-328. (Intervento presentato al convegno 2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) tenutosi a Dubrovnik, Croatia nel 4-7 September 2023) [10.1109/MeditCom58224.2023.10266638].

A study on multi-RIS for multi-user distributed MIMO systems

Tuninato, Riccardo;Alfano, Giuseppa;Garello, Roberto;Mondin, Marina
2023

Abstract

This paper presents a preliminary analysis on the impact of Reconfigurable Intelligent Surfaces (RISs) for the realization of multi-user Distributed multiple input multiple output (DMIMO) systems, where the distributed units are actually RISs. Assuming no direct link between the multi-antenna Access Point (AP) and the users, we design the joint transmit beamforming from the AP to the set of RISs associated to each user, performed via RIS phase shift shaping. In order to comply with the semipassive nature of RISs, the phase shifts are computed via a Genetic Algorithm (GA), where the optimization is based on the Signal-to-Leakage-and-Noise-Ratio (SLNR) precoding scheme. Numerical results confirm that this GA implementation significantly outperforms the common Maximum Ratio Beamforming (MRB) approach in terms of interference suppression and sumrate, but at the price of a significant increase in computational complexity. Our solution justify the interest of a multi-RIS system for spatial multiplexing, and opens to several further research directions.
2023
979-8-3503-3373-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2984546