For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
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
Publication Date: 2014/12/01
Online ISSN: 1745-1345
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,
Full Text: PDF(2.1MB)>>
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 The outdated CSI causes interference and seriously degrades the quality of transmission. Channel prediction schemes have been developed to mitigate the effects of outdated CSI.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.