Multi-User Precoding for MIMO Downlink Based on Block Diagonalization Channel Inversion

This article explores a multi-user precoding scheme for MIMO downlink systems based on block diagonalization channel inversion. This precoding approach significantly enhances channel capacity and system performance in multi-user networks. In this implementation, the channel matrix is decomposed into multiple blocks that can be independently encoded, thereby improving transmission efficiency across multiple users. The algorithm involves computing the null space of interference channels followed by zero-forcing precoding within each user's signal subspace. From a coding perspective, key functions would include matrix decomposition operations (such as SVD or QR decomposition), null space calculation, and precoding weight computation. Additionally, this scheme enhances network security by mitigating external interference and attacks, thereby improving overall network reliability and stability. The code implementation typically requires efficient matrix manipulation libraries and careful handling of numerical stability issues during matrix inversion operations. Overall, the block diagonalization channel inversion-based multi-user precoding represents an effective solution that plays a crucial role in optimizing multi-user MIMO downlink systems.