On Transmit Antenna Selection for Multiuser MIMO Systems with Dirty Paper Coding

TL;DR

This paper proposes efficient transmit antenna selection algorithms for multi-user MIMO systems with precoding, including a novel maxR scheme that significantly reduces computational complexity with minimal performance loss.

Contribution

It introduces a new QRD-based antenna selection algorithm (maxR) that balances performance and computational efficiency in multi-user MIMO systems.

Findings

maxR algorithm reduces computational effort to 1% of optimal with minimal performance loss

Analytical derivation of sub-optimality reasons for QRD-based antenna selection

Simulation results confirm efficiency and effectiveness of the proposed scheme

Abstract

In this paper, we address the transmit antenna selection in multi-user MIMO systems with precoding. The optimum and reduced complexity sub-optimum antenna selection algorithms are introduced. QR-decomposition (QRD) based antenna selection is investigated and the reason behind its sub-optimality is analytically derived. We introduce the conventional QRD-based algorithm and propose an efficient QRD-based transmit antenna scheme (maxR) that is both implementation and performance efficient. Moreover, we derive explicit formulae for the computational complexities of the aforementioned algorithms. Simulation results and analysis demonstrate that the proposed maxR algorithm requires only 1% of the computational efforts required by the optimal algorithm for a degradation of 1dB and 0.1dB in the case of linear zero-forcing and Tomlinson-Harashima precoding schemes, respectively.