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Paper Abstract and Keywords
Presentation 2016-11-24 15:35
[Invited Lecture] Multiuser Detection by Convex Relaxed MAP Estimation
Hampei Sasahara (Tokyo Inst. Tech.), Kazunori Hayashi (Kyoto Univ.), Masaaki Nagahara (Univ. Kitakyusyu) AP2016-115 RCS2016-199
Abstract (in Japanese) (See Japanese page) 
(in English) In this manuscript, we propose a new multiuser signal detection considering discreteness of signals explicitly.
The multiuser signal detection problem is expressed as a linear equation on a finite discrete set.
We formulate the problem as a maximum a posteriori estimation.
Because the introduced problem composes sum of $ell^0$ norms and has a combinatorial nature, it is difficult to solve due to its computational complexity.
To tackle with this difficulty, we consider a convex relaxed problem based on SOAV (sum-of-absolute-values) optimization, which is known to be effective for discrete signal estimation problems, and employ the corresponding optimal solution as an estimated signal.
Moreover, a theoretical performance analysis is given by analytically deriving an upper bound of the magnitude of the error signal between the estimated signal and the original signal based on the restricted isometry property (RIP).
Finally, we compare the performances of the proposed method and conventional methods by simulation and verify the effectiveness of our proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) convex relaxation / maximum a posteriori estimation / multiuser signal detection / sum-of-absolute-values optimization / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 318, RCS2016-199, pp. 47-52, Nov. 2016.
Paper # RCS2016-199 
Date of Issue 2016-11-17 (AP, 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)
Download PDF AP2016-115 RCS2016-199

Conference Information
Committee RCS AP  
Conference Date 2016-11-24 - 2016-11-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto International Community House 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Adaptive Antenna, Equalization, Interference Canceler, MIMO, Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2016-11-RCS-AP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Multiuser Detection by Convex Relaxed MAP Estimation 
Sub Title (in English)  
Keyword(1) convex relaxation  
Keyword(2) maximum a posteriori estimation  
Keyword(3) multiuser signal detection  
Keyword(4) sum-of-absolute-values optimization  
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1st Author's Name Hampei Sasahara  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. Tech.)
2nd Author's Name Kazunori Hayashi  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Masaaki Nagahara  
3rd Author's Affiliation The University of Kitakyusyu (Univ. Kitakyusyu)
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Speaker Author-1 
Date Time 2016-11-24 15:35:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # AP2016-115, RCS2016-199 
Volume (vol) vol.116 
Number (no) no.317(AP), no.318(RCS) 
Page pp.47-52 
#Pages
Date of Issue 2016-11-17 (AP, RCS) 


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