Tensor-Decomposition-based Hybrid Beamforming Design for mmWave OFDM Massive MIMO Communications

TL;DR

This paper introduces a tensor-decomposition-based hybrid beamforming method for mmWave massive MIMO OFDM systems, enhancing sum-rate performance by jointly optimizing analog and digital components.

Contribution

It presents a novel Tucker2 decomposition approach for hybrid beamforming design, improving sum-rate maximization in mmWave MIMO OFDM systems.

Findings

Outperforms existing beamforming methods in simulations

Maximizes effective baseband gains across subcarriers

Suppresses interference among data streams

Abstract

In this paper, we propose a novel joint hybrid precoder and combiner design for maximizing the average achievable sum-rate of single-user orthogonal frequency division multiplexing millimeter wave massive MIMO systems. We formulate the analog precoder and combiner design as a constrained Tucker2 decomposition and solve it by using the projected alternate least square method. Such a formulation allows maximizing the sum of the effective baseband gains over all subcarriers, while suppressing the interference among the data streams in the same subcarrier. In turn, the digital precoder and combiner are obtained from the effective baseband channel's singular value decomposition on a per-subcarrier basis. Numerical simulation results show that the proposed method outperforms other existing designs.