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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
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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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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)  
Keyword(1) Interference Alignment  
Keyword(2) Time-varying channel  
Keyword(3) Channel prediction  
Keyword(4) 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  
4th Author's Affiliation 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
Date of Issue 2015-06-17 (RCS) 


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