Behavior of a Multi-User MIMO System in Time-Varying Environments

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  • OGAWA Yasutaka
    Graduate School of Information Science and Technology, Hokkaido University
  • YAMAGUCHI Kanako
    Graduate School of Information Science and Technology, Hokkaido University
  • BUI Huu Phu
    National Key Lab of Digital Control & System Engineering, University of Technology, Vietnam National University
  • NISHIMURA Toshihiko
    Graduate School of Information Science and Technology, Hokkaido University
  • OHGANE Takeo
    Graduate School of Information Science and Technology, Hokkaido University

抄録

We evaluated the behavior of a multi-user multiple-input multiple-output (MIMO) system in time-varying channels using measured data. A base station for downlink or broadcast transmission requires downlink channel state information (CSI), which is outdated in time-varying environments and we encounter degraded performance due to interference. One of the countermeasures against time-variant environments is predicting channels with an autoregressive (AR) model-based method. We modified the AR prediction for a time division duplex system. We conducted measurement campaigns in indoor environments to verify the performance of the scheme of channel prediction in an actual environment and measured channel data. We obtained the bit-error rate (BER) using these data. The AR-model-based technique of prediction assuming the Jakes' model was found to reduce BER. Also, the optimum AR-model order was investigated by using the channel data we measured.

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