Abstract
Sum-rate optimization problem is a key issue in a time-varying multi-user multi-input multi-output (MU-MIMO) distributed antenna system. Channel precoding matrix is the key technology in the achievable sum-rate optimization problem. In this paper, two algorithms are proposed to solve the achievable sum-rate optimization problem for a time-varying MU-MIMO distributed antenna system, namely one-dimensional search algorithm (OSA) and cyclic MMSE (Minimum Mean Square Error) search algorithm (CMSA). In order to design the channel precoding matrix for the achievable sum-rate optimization, a one-dimensional search algorithm is proposed in the time-varying MU-MIMO distributed antenna system. For the problem with a large amount of computation in OSA, a cyclic MMSE search algorithm is proposed in the time-varying MU-MIMO distributed antenna system. Simulation results show that the proposed algorithms can effectively improve the sum-rate compared to other algorithms. Simulation results also show that OSA is superior to CMSA in the sum-rate, and the channel state information (CSI) coefficient has little effect on OSA and CMSA.
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