Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO

TL;DR

This paper proposes a low-complexity beamforming method called IOSVB for MU-MIMO systems, which effectively reduces interference and enhances spectral efficiency, making it suitable for future 6G wireless networks.

Contribution

The paper introduces the IOSVB algorithm that optimally selects singular vectors for interference mitigation and spectral efficiency in MU-MIMO systems with reduced computational complexity.

Findings

IOSVB achieves near-optimal spectral efficiency.

It closely matches exhaustive search performance.

The method significantly reduces computational overhead.

Abstract

This letter introduces a low-complexity beamforming approach for MU-MIMO systems with multiple data streams per user, minimizing inter-user interference and improving spectral efficiency (SE). The Interference-Optimized Singular Vector Beamforming (IOSVB) algorithm is developed by correlating inter-user interference with channel singular vectors. It blends interference minimization and SE maximization by identifying ideal singular vectors. Extensive simulations demonstrate that IOSVB provides near-optimal SE performance, closely matching exhaustive search results while reducing the computational overhead. This novel approach in MU-MIMO systems is a promising option for future 6G wireless communication networks due to its excellent performance and reduced complexity.