Block Diagonalization Precoding Algorithm for Multi-User MIMO Systems

In multi-user MIMO (Multiple-Input Multiple-Output) systems, we present a Block Diagonalization precoding algorithm. The implementation is complete and ready for deployment. This algorithm leverages spatial diversity among multiple antennas and users to significantly enhance signal transmission performance while reducing interference. Through encoding and preprocessing user data streams, the system can more efficiently utilize resources and achieve higher data transmission rates. The code implementation includes channel matrix decomposition using singular value decomposition (SVD) to construct orthogonal subspaces for each user, effectively creating interference-free channels. Key functions handle channel state information acquisition, precoding matrix calculation, and power allocation optimization. The algorithm demonstrates strong adaptability, automatically adjusting to varying channel conditions and user requirements through dynamic threshold adjustments and real-time parameter optimization. Given these characteristics, we believe this algorithm holds substantial application potential in multi-user MIMO communication systems, particularly for 5G and beyond wireless networks requiring high spectral efficiency and multi-user support.