open access

https://hdl.handle.net/2115/51707

Performance Evaluation of a Multi-User MIMO System With Prediction of Time-Varying Indoor Channels

英語

time-varying environment

2013-01

IEEE

IEEE Transactions on Antennas and Propagation

61(1)

371-379

In this paper, the performance of a multi-user multiple-input multiple-output (MIMO) system in time-varying channels is evaluated using measurement data. We consider the multi-user MIMO system using a block diagonalization (BD) scheme and an eigenbeam-space division multiplexing (E-SDM) technique. In an ideal case, the BD scheme eliminates inter-user interference, and the E-SDM technique suppresses inter-stream interference. In actual radio environments, however, channels change over time. This causes interference in the multi-user MIMO system even though the BD scheme and the E-SDM technique are used. To overcome this problem, the authors have developed a simple channel prediction scheme on the basis of a linear extrapolation and have demonstrated its effectiveness by computer simulations assuming the Jakes' model. To verify the performance of the channel prediction scheme in actual environments, we conducted a measurement campaign in indoor environments and measured a large amount of channel data. Using these data, we examined the channel transition and channel tracking with the prediction method. Then we obtained the bit-error rate (BER) performance. The prediction technique was shown to track the channel and improve the BER performance almost to that in the ideal time invariant case.

学術雑誌論文

Accepted Manuscript

© 2013 IEEE. Reprinted, with permission, from Huu Phu Bui; Ogawa, Y.; Nishimura, T.; Ohgane, T., Performance Evaluation of a Multi-User MIMO System With Prediction of Time-Varying Indoor Channels, IEEE Transactions on Antennas and Propagation, Jan. 2013. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Hokkaido University products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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