Work

Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO

Year: 2024

Type: article

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.

Source: IEEE Communications Letters

DOI: 10.1109/lcomm.2024.3522939

Authors: Md Saheed Ullah, Rafid Umayer Murshed, Mohammad Saquib, Md. Forkan Uddin

Institutions: Bangladesh University of Engineering and Technology, The University of Texas at Dallas

Language: English

Topic: Advanced MIMO Systems Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funders: University of Engineering and Technology, Lahore, Bangladesh University of Engineering and Technology