Sum-Rate Optimization for RIS-Aided Multiuser Communications with Movable Antenna

TL;DR

This paper introduces a novel RIS-aided multiuser communication system utilizing movable antennas, jointly optimizing beamforming, RIS reflection, and antenna positions to maximize sum-rate, demonstrating significant performance improvements through a fractional programming algorithm.

Contribution

It proposes a new system integrating movable antennas with RIS, and develops an iterative algorithm for joint optimization of beamforming, reflection coefficients, and antenna positions.

Findings

The proposed algorithm effectively maximizes sum-rate.

Movable antennas significantly outperform fixed antennas.

The system shows superior performance under various RIS assumptions.

Abstract

Reconfigurable intelligent surface (RIS) is known as a promising technology to improve the performance of wireless communication networks, which has been extensively studied. Movable antenna (MA) is a novel technology that fully exploits the antenna position for enhancing the channel capacity. In this paper, we propose a new RIS-aided multiuser communication system with MAs. The sum-rate is maximized by jointly optimizing the beamforming, the reflection coefficient (RC) values of RIS and the positions of MAs. A fractional programming-based iterative algorithm is proposed to solve the formulated non-convex problem, considering three assumptions for the RIS. Numerical results are presented to verify the effectiveness of the proposed algorithm and the superiority of the proposed MA-based system in terms of sum-rate.