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arXiv · 2311.03741

Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO

Md Saheed Ullah·Rafid Umayer Murshed·Mohammad Saquib·Md. Forkan Uddin
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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.

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Md Saheed Ullah, Rafid Umayer Murshed, Mohammad Saquib, Md. Forkan Uddin. 2023-11-07. Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO. https://doi.org/10.1109/lcomm.2024.3522939

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