Beam Selection for MmWave Massive MIMO Systems Under Hybrid Transceiver Architecture

TL;DR

This paper introduces a joint beam selection method for hybrid mmWave MIMO systems that reduces interference and enhances sum rate using a bio-inspired algorithm, balancing performance and computational efficiency.

Contribution

It proposes a novel joint beam selection scheme with an ant colony optimization algorithm for hybrid precoding in mmWave MIMO systems, considering channel correlation.

Findings

Improves system sum rate compared to existing methods.

Reduces computational complexity with bio-inspired optimization.

Demonstrates effectiveness through simulations.

Abstract

Hybrid analog/digital precoding is a promising technology to cut down hardware cost in massive multi-input multi-output (MIMO) systems at millimeter wave frequencies. In this letter, we propose a joint beam selection scheme for analog domain precoding under discrete lens array. By considering channel correlation among users, the proposed scheme is able to avoid inter-user interference and maximize system sum rate. Moreover, a bio-inspired ant colony optimization-based algorithm is proposed to obtain a near-optimal solution with dramatically reduced computational complexity. Finally, simulations show the advantages of the proposed scheme in improving system sum rate.