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 |
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) |
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) |
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Keyword(1) |
convex relaxation |
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maximum a posteriori estimation |
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multiuser signal detection |
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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 |
6 |
Date of Issue |
2016-11-17 (AP, RCS) |
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