RSMA-Assited and Transceiver-Coordinated ICI Management for MIMO-OFDM System

TL;DR

This paper introduces a novel RSMA-assisted, transceiver-coordinated transmission scheme for MIMO-OFDM systems that effectively suppresses Doppler-induced ICI and enhances capacity in high-mobility scenarios.

Contribution

It proposes a new hybrid receiver architecture with dynamic subcarrier clustering and a hybrid precoding method optimized via ABC-PSO and WMMSE, advancing ICI management in MIMO-OFDM.

Findings

Effective ICI suppression demonstrated in simulations

Enhanced system capacity achieved with the proposed scheme

Balanced complexity and performance in high-mobility scenarios

Abstract

High-mobility scenarios are becoming increasingly critical in next-generation communication systems. While multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) stands as a prominent technology, its performance in such scenarios is fundamentally limited by Doppler-induced inter-carrier interference (ICI). Rate splitting multiple access (RSMA), recognized as a key multiple access technique for future communications, demonstrates superior interference management capabilities that we leverage to address this challenge. In specific, we propose a novel RSMA-assisted and transceiver-coordinated transmission scheme for ICI management in MIMO-OFDM system: (1) At the receiver side, we develop a hybrid successive interference cancellation (SIC) architecture with dynamic subcarrier clustering, which enables parallel intra-cluster and serial inter-cluster processing to balance complexity and performance. (2) At the transmitter~side, we design a matched hybrid precoding through formulated sum-rate maximization, solved via our proposed augmented boundary-compressed particle swarm optimization (ABC-PSO) algorithm for analog phase optimization and weighted minimum mean-square error (WMMSE)-based digital precoding iteration. Simulation results show that our scheme brings effective ICI suppression and enhanced system capacity with controlled complexity.