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.
@article{arxiv.2311.03741,
title = {Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO},
author = {Md Saheed Ullah and Rafid Umayer Murshed and Mohammad Saquib and Md. Forkan Uddin},
journal= {arXiv preprint arXiv:2311.03741},
year = {2025}
}
Comments
5 pages, 4 figures, published in IEEE Wireless Communications Letters