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Behavior of a Multi-User MIMO System in Time-Varying Environments
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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 A base station for downlink or broadcast transmission requires downlink channel state information (CSI), which is outdated in time-varying environments and we encounter degraded performance due to interference.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.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E96-B No.10 pp.2364-2371
- Publication Date
- 2013/10/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E96.B.2364
- Type of Manuscript
- Special Section INVITED PAPER (Special Section on Recent Progress in Antennas and Propagation in Conjunction with Main Topics of ISAP2012)
- Category
Authors
Yasutaka OGAWA
Hokkaido University
Kanako YAMAGUCHI
Hokkaido University
Huu Phu BUI
Vietnam National University
Toshihiko NISHIMURA
Hokkaido University
Takeo OHGANE
Hokkaido University
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Yasutaka OGAWA, Kanako YAMAGUCHI, Huu Phu BUI, Toshihiko NISHIMURA, Takeo OHGANE, "Behavior of a Multi-User MIMO System in Time-Varying Environments" in IEICE TRANSACTIONS on Communications,
vol. E96-B, no. 10, pp. 2364-2371, October 2013, doi: 10.1587/transcom.E96.B.2364.
Abstract: 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 A base station for downlink or broadcast transmission requires downlink channel state information (CSI), which is outdated in time-varying environments and we encounter degraded performance due to interference.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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E96.B.2364/_p
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@ARTICLE{e96-b_10_2364,
author={Yasutaka OGAWA, Kanako YAMAGUCHI, Huu Phu BUI, Toshihiko NISHIMURA, Takeo OHGANE, },
journal={IEICE TRANSACTIONS on Communications},
title={Behavior of a Multi-User MIMO System in Time-Varying Environments},
year={2013},
volume={E96-B},
number={10},
pages={2364-2371},
abstract={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.},
keywords={},
doi={10.1587/transcom.E96.B.2364},
ISSN={1745-1345},
month={October},}
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TY - JOUR
TI - Behavior of a Multi-User MIMO System in Time-Varying Environments
T2 - IEICE TRANSACTIONS on Communications
SP - 2364
EP - 2371
AU - Yasutaka OGAWA
AU - Kanako YAMAGUCHI
AU - Huu Phu BUI
AU - Toshihiko NISHIMURA
AU - Takeo OHGANE
PY - 2013
DO - 10.1587/transcom.E96.B.2364
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E96-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2013
AB - 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.
ER -
English
