Channel Prediction Techniques for a Multi-User MIMO System in Time-Varying Environments

Kanako YAMAGUCHI  Huu Phu BUI  Yasutaka OGAWA  Toshihiko NISHIMURA  Takeo OHGANE  

IEICE TRANSACTIONS on Communications   Vol.E97-B   No.12   pp.2747-2755
Publication Date: 2014/12/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E97.B.2747
Type of Manuscript: PAPER
Category: Antennas and Propagation
channel prediction,  multi-user MIMO system,  block diagonalization,  eigenbeam-space division multiplexing,  time-varying environments,  AR model,  lagrange extrapolation,  

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Although multi-user multiple-input multiple-output (MI-MO) systems provide high data rate transmission, they may suffer from interference. Block diagonalization and eigenbeam-space division multiplexing (E-SDM) can suppress interference. The transmitter needs to determine beamforming weights from channel state information (CSI) to use these techniques. However, MIMO channels change in time-varying environments during the time intervals between when transmission parameters are determined and actual MIMO transmission occurs. The outdated CSI causes interference and seriously degrades the quality of transmission. Channel prediction schemes have been developed to mitigate the effects of outdated CSI. We evaluated the accuracy of prediction of autoregressive (AR)-model-based prediction and Lagrange extrapolation in the presence of channel estimation error. We found that Lagrange extrapolation was easy to implement and that it provided performance comparable to that obtained with the AR-model-based technique.