Uplink Boost Eliminate User in Massive MIMO System Using Reinsch Algorithm

In the multiuser uplink system, Multiple Input Multiple Output (MIMO) linear detectors as Zero forcing or Minimum Mean Square Error (MMSE) is widely adopted. However, the computational complexity of the linear detector remains high due to the significant vast matrix, especially with the growing number of antennas and the user. Therefore, some strategies have been adopted to approach linear detectors to reduce complexity, but among previous research just focused on one linear detector. We utilize the singular value decomposition based on MMSE or ZF detector (SVD) and propose two algorithms to update and update the channel matrix SVD. The proposed update algorithm for the case when one user is attached to the base station. Golub Kahan and Reinsch, Gram Schmidt and Householder transform recursively to approach the diagonal matrix of singular values. This shows through simulation results that the proposed scheme exceeds the conventional scheme with reduced complexity and error 1-5%.