Considerations on a multi-user MIMO system using channel prediction based on an AR model

We consider a multi-user multiple-input multiple-output (MIMO) system using block diagonalization and eigenbeam-space division multiplexing to suppress inter-user interference and inter-stream interference. In time-varying environments, the performance seriously degrades due to mistracking of beamforming. A channel prediction scheme can eliminate the effect of the time-varying environments. In this paper, using indoor measurement data, we evaluate the bit error rate (BER) performance of a multi-user MIMO system with channel prediction based on an autoregressive model. It is shown that the proposed channel prediction technique can improve the BER performance significantly.