Over-Sampling Codebook-Based Hybrid Minimum Sum-Mean-Square-Error Precoding for Millimeter-Wave 3D-MIMO

TL;DR

This paper introduces an over-sampling codebook-based hybrid precoding scheme for millimeter-wave 3D-MIMO systems that focuses on minimizing BER rather than maximizing spectral efficiency, improving performance in multi-user scenarios.

Contribution

It proposes a novel OSC-based hybrid min-SMSE precoding scheme that jointly optimizes digital and analog precoders to reduce BER in mmWave 3D-MIMO systems.

Findings

Achieves better BER performance than conventional schemes.

Effectively reduces SMSE between transmit and receive signals.

Demonstrates improved multi-user transmission in simulations.

Abstract

Hybrid precoding design is challenging for millimeter-wave (mmWave) massive MIMO. Most prior hybrid precoding schemes are designed to maximize the sum spectral efficiency (SSE), while seldom investigate the bit-error-rate (BER). Therefore, we propose an over-sampling codebook (OSC)-based hybrid minimum sum-mean-square-error (min-SMSE) precoding scheme for mmWave multi-user three-dimensional (3D)-MIMO systems to optimize the BER, where multi-user transmission with multiple data streams for each user is considered. Specifically, given the effective baseband channel consisting of the real channel and analog precoding, we first design the digital precoder/combiner based on min-SMSE criterion to optimize the BER. To further reduce the SMSE between the transmit and receive signals, we propose an OSC-based joint analog precoder/combiner (JAPC) design. Simulation results show that the proposed scheme can achieve the better performance than its conventional counterparts.