Robust Design of Rate-Splitting Multiple Access With Imperfect CSI for Cell-Free MIMO Systems

TL;DR

This paper investigates the robustness of Rate-Splitting Multiple Access (RSMA) in cell-free MIMO systems under imperfect CSI, proposing a robust optimization algorithm to enhance performance despite channel estimation errors.

Contribution

It introduces a robust optimization method for RSMA in cell-free MIMO systems that accounts for CSI errors, improving reliability and throughput.

Findings

Robust design significantly improves RSMA performance with CSI errors.

Performance gains of RSMA over conventional schemes are affected by CSI imperfection.

The proposed algorithm effectively mitigates the impact of channel estimation errors.

Abstract

Rate-Splitting Multiple Access (RSMA) for multi-user downlink operates by splitting the message for each user equipment (UE) into a private message and a set of common messages, which are simultaneously transmitted by means of superposition coding. The RSMA scheme can enhance throughput and connectivity as compared to conventional multiple access techniques by optimizing the rate-splitting ratios along with the corresponding downlink beamforming vectors. This work examines the impact of erroneous channel state information (CSI) on the performance of RSMA in cell-free multiple-input multiple-output (MIMO) systems. An efficient robust optimization algorithm is proposed by using closed-form lower bound expressions on the expected data rates. Extensive numerical results show the importance of robust design in the presence of CSI errors and how the performance gain of RSMA over conventional schemes is affected by CSI imperfection.