Joint Robust Weighted LMMSE Transceiver Design for Dual-Hop AF Multiple-Antenna Relay Systems

TL;DR

This paper proposes a robust joint transceiver design for dual-hop AF MIMO relay systems with channel estimation errors, optimizing weighted MSE to improve performance under uncertainty.

Contribution

It introduces a novel joint transceiver design method that accounts for channel estimation errors using Bayesian approach, unifying and extending existing algorithms.

Findings

The proposed design outperforms existing methods in simulations.

Several existing algorithms are special cases of the proposed solution.

Robust design effectively mitigates channel estimation errors.

Abstract

In this paper, joint transceiver design for dual-hop amplify-and-forward (AF) MIMO relay systems with Gaussian distributed channel estimation errors in both two hops is investigated. Due to the fact that various linear transceiver designs can be transformed to a weighted linear minimum mean-square-error (LMMSE) transceiver design with specific weighting matrices, weighted mean square error (MSE) is chosen as the performance metric. Precoder matrix at source, forwarding matrix at relay and equalizer matrix at destination are jointly designed with channel estimation errors taken care of by Bayesian philosophy. Several existing algorithms are found to be special cases of the proposed solution. The performance advantage of the proposed robust design is demonstrated by the simulation results.