  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.
