Robust Beamforming for Amplify-and-Forward MIMO Relay Systems Based on Quadratic Matrix Programming

TL;DR

This paper proposes a robust transceiver design for dual-hop amplify-and-forward MIMO relay systems that accounts for Gaussian channel estimation errors using quadratic matrix programming, improving system reliability.

Contribution

It introduces an iterative algorithm for joint design of source precoder, relay forward matrix, and destination equalizer based on Bayesian modeling and quadratic matrix programming.

Findings

Effective joint transceiver design algorithm developed

Robustness against Gaussian channel estimation errors demonstrated

Enhanced MIMO relay system performance achieved

Abstract

In this paper, robust transceiver design based on minimum-mean-square-error (MMSE) criterion for dual-hop amplify-and-forward MIMO relay systems is investigated. The channel estimation errors are modeled as Gaussian random variables, and then the effect are incorporated into the robust transceiver based on the Bayesian framework. An iterative algorithm is proposed to jointly design the precoder at the source, the forward matrix at the relay and the equalizer at the destination, and the joint design problem can be efficiently solved by quadratic matrix programming (QMP).