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Paper Abstract and Keywords
Presentation 2016-03-04 14:30
Channel Prediction Using 2-Step Compressed Sensing in a Time-Varying Multi-User MIMO Environment
Shunsuke Uehashi, Yasutaka Ogawa, Toshihiko Nishimura, Takeo Ohgane (Hokkaido Univ.) RCS2015-394
Abstract (in Japanese) (See Japanese page) 
(in English) In multi-user MIMO systems, a base station needs downlink channel state information to each user to suppress interference. In time-varying environments, however, the channel transition over time causes the interference and deteriorates the PER performance. To solve this problem, we have proposed a channel prediction scheme using a compressed sensing technique. This scheme can predict channels with high accuracy when scatterers are stationary. In real environments, however, this assumption does not hold. In this paper, we propose a prediction scheme based on 2-step compressed sensing. In the first step, we estimate directions of arrivals (DOAs) of multipath signals. In the second step, we estimate Doppler frequencies and complex amplitudes of the multipath signals using the DOA information. From these values, we predict the MIMO channels. The performance of this scheme is shown in this paper.
Keyword (in Japanese) (See Japanese page) 
(in English) channel prediction / multi-user MIMO system / compressed sensing / SOS method / direction-of-arrival estimation / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 472, RCS2015-394, pp. 357-362, March 2016.
Paper # RCS2015-394 
Date of Issue 2016-02-24 (RCS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Download PDF RCS2015-394

Conference Information
Committee RCS CCS SR SRW  
Conference Date 2016-03-02 - 2016-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Communication Workshop 
Paper Information
Registration To RCS 
Conference Code 2016-03-RCS-CCS-SR-SRW 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Channel Prediction Using 2-Step Compressed Sensing in a Time-Varying Multi-User MIMO Environment 
Sub Title (in English)  
Keyword(1) channel prediction  
Keyword(2) multi-user MIMO system  
Keyword(3) compressed sensing  
Keyword(4) SOS method  
Keyword(5) direction-of-arrival estimation  
1st Author's Name Shunsuke Uehashi  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Yasutaka Ogawa  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Toshihiko Nishimura  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Takeo Ohgane  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Date Time 2016-03-04 14:30:00 
Presentation Time 25 
Registration for RCS 
Paper # IEICE-RCS2015-394 
Volume (vol) IEICE-115 
Number (no) no.472 
Page pp.357-362 
#Pages IEICE-6 
Date of Issue IEICE-RCS-2016-02-24 

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