Paper Abstract and Keywords |
Presentation |
2015-06-25 13:40
Interference Alignment for Time-varying Channel with Channel and Weight Predictions based on Auto Regressive Model Masayoshi Ozawa, Tomoaki Ohtsuki (Keio Univ.), Wenjie Jiang, Yasushi Takatori (NTT) RCS2015-72 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In interference alignment (IA), interference signals are aligned in a certain signal subspace of each receiver and eliminated with transmit and receive weights. However, they are not perfectly aligned and remains with
the weights based on time-varying channel. In this report, we propose three IA methods having the capability of adapting to time-varying channel using auto regressive (AR) model by which next state is predicted with past states. In the rst method, the channel when a signal is transmitted at the transmitter is predicted from the estimated channel state information (CSI) at the receiver based on AR model. The weights are calculated with the predicted CSI so that the interference signals are aligned and eliminated. In the second method, transmit and receive weights
are predicted with past transmit and receive weights based on AR model, respectively. In the third method, only the transmit weight is predicted with past transmit weights based on AR model, and receive weight is calculated with the estimated CSI. Compared with an iterative optimization that is one of weight calculation methods, the prediction methods are able to calculate the weights with low calculation amount. Through computer simulation, the proposed ones are shown to improve a rate and decrease the calculation amount compared with general IA methods. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Interference Alignment / Time-varying channel / Channel prediction / Auto regressive model / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 113, RCS2015-72, pp. 155-160, June 2015. |
Paper # |
RCS2015-72 |
Date of Issue |
2015-06-17 (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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RCS2015-72 |
Conference Information |
Committee |
RCS |
Conference Date |
2015-06-24 - 2015-06-26 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hokkaido Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
First Presentation in IEICE Technical Committee, Railroad Communications, Inter-Vehicle Communications, Road to Vehicle Communications, Resource Control, Scheduling, Wireless Communication Systems, etc. |
Paper Information |
Registration To |
RCS |
Conference Code |
2015-06-RCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Interference Alignment for Time-varying Channel with Channel and Weight Predictions based on Auto Regressive Model |
Sub Title (in English) |
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Keyword(1) |
Interference Alignment |
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Time-varying channel |
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Channel prediction |
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Auto regressive model |
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1st Author's Name |
Masayoshi Ozawa |
1st Author's Affiliation |
Keio University (Keio Univ.) |
2nd Author's Name |
Tomoaki Ohtsuki |
2nd Author's Affiliation |
Keio University (Keio Univ.) |
3rd Author's Name |
Wenjie Jiang |
3rd Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
4th Author's Name |
Yasushi Takatori |
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Nippon Telegraph and Telephone Corporation (NTT) |
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Speaker |
Author-1 |
Date Time |
2015-06-25 13:40:00 |
Presentation Time |
25 minutes |
Registration for |
RCS |
Paper # |
RCS2015-72 |
Volume (vol) |
vol.115 |
Number (no) |
no.113 |
Page |
pp.155-160 |
#Pages |
6 |
Date of Issue |
2015-06-17 (RCS) |
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