Paper Abstract and Keywords |
Presentation |
2017-11-08 14:55
[Invited Lecture]
Channel Prediction in LOS Environment by AR Model Using Estimation of LOS Propagation Parameters Naoto Setoguchi, Hiroaki Nakabayashi, Keizo Cho (Chiba Inst.Tech.) AP2017-117 RCS2017-214 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In MIMO technology, feedback delay of channel state information is regarded as a cause of deterioration of transmission performance, and channel prediction using AR model is attracting attention as a technology for improving degradation of channel state information. In this report, we investigate parameter estimation for channel prediction equation from Doppler spectrum using Fast Fourier Transform (FFT), and investigate the channel prediction accuracy using the autocorrelation theory formula, in non-line-of-sight (NLOS) environment and line-of-sight (LOS) environment using the parameters estimated in LOS environment. As a result, it is shown that the prediction using autocorrelation theory formula in LOS environment reduces the mean square error about 10 dB for the prediction using the formula in NLOS environment. Also, the influence of the prediction error is shown when performing the MIMO eigenmode transmission based on the predicted channel on the channel capacity. As a result, it is shown that the using the formula in LOS environment can reduce deterioration of the channel capacity about 0.5-2 bit/s/Hz for using the formula in NLOS environment. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
autoregressive model / channel prediction / MIMO / line-of-sight / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 283, AP2017-117, pp. 49-54, Nov. 2017. |
Paper # |
AP2017-117 |
Date of Issue |
2017-11-01 (AP, RCS) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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AP2017-117 RCS2017-214 |
Conference Information |
Committee |
AP RCS |
Conference Date |
2017-11-08 - 2017-11-10 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Fukuoka University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Adaptive Antenna, Equalization, Interference Canceler, MIMO, Wireless Communications, etc. |
Paper Information |
Registration To |
AP |
Conference Code |
2017-11-AP-RCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Channel Prediction in LOS Environment by AR Model Using Estimation of LOS Propagation Parameters |
Sub Title (in English) |
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autoregressive model |
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channel prediction |
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MIMO |
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line-of-sight |
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1st Author's Name |
Naoto Setoguchi |
1st Author's Affiliation |
Chiba Institute of Technology (Chiba Inst.Tech.) |
2nd Author's Name |
Hiroaki Nakabayashi |
2nd Author's Affiliation |
Chiba Institute of Technology (Chiba Inst.Tech.) |
3rd Author's Name |
Keizo Cho |
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Chiba Institute of Technology (Chiba Inst.Tech.) |
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Speaker |
Author-1 |
Date Time |
2017-11-08 14:55:00 |
Presentation Time |
25 minutes |
Registration for |
AP |
Paper # |
AP2017-117, RCS2017-214 |
Volume (vol) |
vol.117 |
Number (no) |
no.283(AP), no.284(RCS) |
Page |
pp.49-54(AP), pp.53-58(RCS) |
#Pages |
6 |
Date of Issue |
2017-11-01 (AP, RCS) |
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