Rotatable RIS Assisted Physical Layer Multicasting

TL;DR

This paper introduces a rotatable RIS framework for physical-layer multicast that optimizes orientation alongside beamforming and phase shifts, significantly improving user rates and fairness.

Contribution

It proposes a novel joint optimization framework for rotatable RIS-assisted multicast systems, combining convex optimization, exhaustive search, and PSO for orientation control.

Findings

Achieves 24.1% rate improvement with exhaustive search

Attains 20.0% rate gain with PSO over non-rotatable RIS

PSO performance is close to the exhaustive search upper bound

Abstract

Reconfigurable Intelligent Surfaces (RIS) dynamically control signal propagation to enhance wireless communications. This paper presents a novel framework for rotatable RIS assisted physical-layer multicast systems, aiming to maximize the sum of minimum multicast rates via joint optimization of base station beamforming, RIS phase shifts, and orientation. Unlike unicast or non-rotatable setups, the rotatable RIS adapts orientation to align signals with user groups, improving fairness and rates for weak users. An alternating optimization approach combines convex optimization for beamforming/phase shifts with exhaustive search and particle swarm optimization (PSO) for orientation. Majorization-Minimization-based algorithms solve subproblems iteratively. Simulation results show the framework achieves 24.1% rate improvement via exhaustive search and 20.0% via PSO over the non-rotatable RIS baseline, with PSO performance close to the exhaustive search upper bound, highlighting the benefits of physical-layer multicast and orientation optimization.