Adaptive Distributed Space-Time Coding in Cooperative MIMO Relaying Systems using Limited Feedback

TL;DR

This paper introduces an adaptive randomized distributed space-time coding scheme for cooperative MIMO networks that leverages limited feedback and adaptive algorithms to enhance performance.

Contribution

It proposes a novel adaptive DSTC scheme with feedback-based randomized matrices and develops low-complexity algorithms for improved cooperative MIMO communication.

Findings

Significant performance gains over existing DSTC schemes.

Effective handling of limited feedback and feedback errors.

Reduced computational complexity with the proposed algorithms.

Abstract

An adaptive randomized distributed space-time coding (DSTC) scheme is proposed for two-hop cooperative MIMO networks. Linear minimum mean square error (MMSE) receiver filters and randomized matrices subject to a power constraint are considered with an amplify-and-forward (AF) cooperation strategy. In the proposed DSTC scheme, a randomized matrix obtained by a feedback channel is employed to transform the space-time coded matrix at the relay node. The effect of the limited feedback and feedback errors are considered. Linear MMSE expressions are devised to compute the parameters of the adaptive randomized matrix and the linear receive filters. A stochastic gradient algorithm is also developed with reduced computational complexity. The simulation results show that the proposed algorithms obtain significant performance gains as compared to existing DSTC schemes.