Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2013-10-17 09:30
Suboptimal MIMO Signal Detection Employing Multi-Stream Constrained Search -- Principle of Multi-Stream Constrained Search --
Katsuya Kato (Sharp), Kazuhiko Fukawa (Tokyo Inst. of Tech.), Ryota Yamada (Sharp), Hiroshi Suzuki (Tokyo Inst. of Tech.), Naoki Okamoto (Sharp) RCS2013-142
Abstract (in Japanese) (See Japanese page) 
(in English) The maximum likelihood detection (MLD) is the optimal signal detection for MIMO communications, but its computational complexity is prohibitive when the number of transmit antennas or the modulation order are large. To overcome this problem, the multi-dimensional search (MDS) has been proposed. MDS sets a minimum mean-squared error (MMSE) detection result to the starting point, and searches for signal candidates in dominant directions of the noise enhancement, under the constraint that one transmitted stream should be a constellation point. Although MDS can achieve a good trade-off between bit error rate (BER) and computational complexity, the complexity is still large because it requires the eigenvalue decomposition. In this report, we propose multi-stream constrained search (MSCS) that sets an MMSE detection result to the starting point, and searches for signal candidates, under the constraint that plural transmitted stream should be constellation points. Since MSCS does not require the eigenvalue decomposition, it can achieve less computational complexity than MDS when one stream is constrained. In addition, MSCS can extend the number of constrained streams to plural. Computer simulations demonstrate that MSCS can achieve almost the same average BER performance as MLD while searching for extremely less signal candidates.
Keyword (in Japanese) (See Japanese page) 
(in English) MIMO / signal detection / MLD / low-complexity / linear detection / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 246, RCS2013-142, pp. 1-6, Oct. 2013.
Paper # RCS2013-142 
Date of Issue 2013-10-10 (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 RCS2013-142

Conference Information
Committee RCS  
Conference Date 2013-10-17 - 2013-10-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Sophia Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Communication Schemes, Wireless Communication Systems, Wireless Standards, etc. 
Paper Information
Registration To RCS 
Conference Code 2013-10-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Suboptimal MIMO Signal Detection Employing Multi-Stream Constrained Search 
Sub Title (in English) Principle of Multi-Stream Constrained Search 
Keyword(1) MIMO  
Keyword(2) signal detection  
Keyword(3) MLD  
Keyword(4) low-complexity  
Keyword(5) linear detection  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Katsuya Kato  
1st Author's Affiliation Sharp Corporation (Sharp)
2nd Author's Name Kazuhiko Fukawa  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
3rd Author's Name Ryota Yamada  
3rd Author's Affiliation Sharp Corporation (Sharp)
4th Author's Name Hiroshi Suzuki  
4th Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
5th Author's Name Naoki Okamoto  
5th Author's Affiliation Sharp Corporation (Sharp)
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2013-10-17 09:30:00 
Presentation Time 20 minutes 
Registration for RCS 
Paper # RCS2013-142 
Volume (vol) vol.113 
Number (no) no.246 
Page pp.1-6 
#Pages 6 
Date of Issue 2013-10-10 (RCS) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan