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| Presentation | 2018-03-09 11:25 Improvement of QRM-MLD Method for MIMO Utilizing Noise Variance Ryotaro Konno, Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.)  SIS2017-66 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we propose a new method for improving the bit error rate (BER) and the computational complexity in Maximum Likelihood Detection employing QR decomposition and the M-algorithm (QRM-MLD) which provides high performance among the signal separation techniques for Multiple Input Multiple Output (MIMO). QRM-MLD utilizing noise variance is regarded as an effective method to reduce the computatonal complexity. However, the method can not cope with the gap from the average noise power at each stage. In the proposed method, we can obtain better performance by setting thresholds according to the variations in the noise power at each stage. Simulation results show that the proposed method can improve the BER and the computational complexity compared with the conventional method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | MLD / MIMO / QR decomposition / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 482, SIS2017-66, pp. 51-56, March 2018. | |
| Paper # | SIS2017-66 | |
| Date of Issue | 2018-03-01 (SIS) | |
| 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 | SIS2017-66 |
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| Conference Information | |
| Committee | SIS |
| Conference Date | 2018-03-08 - 2018-03-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Meijo Univ. Tempaku Campus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Soft Computing, etc. |
| Paper Information | |
| Registration To | SIS |
| Conference Code | 2018-03-SIS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improvement of QRM-MLD Method for MIMO Utilizing Noise Variance |
| Sub Title (in English) | |
| Keyword(1) | MLD |
| Keyword(2) | MIMO |
| Keyword(3) | QR decomposition |
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| 1st Author's Name | Ryotaro Konno |
| 1st Author's Affiliation | Saitama University (Saitama Univ.) |
| 2nd Author's Name | Yosuke Sugiura |
| 2nd Author's Affiliation | Saitama University (Saitama Univ.) |
| 3rd Author's Name | Tetsuya Shimamura |
| 3rd Author's Affiliation | Saitama University (Saitama Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-03-09 11:25:00 |
| Presentation Time | 25 minutes |
| Registration for | SIS |
| Paper # | SIS2017-66 |
| Volume (vol) | vol.117 |
| Number (no) | no.482 |
| Page | pp.51-56 |
| #Pages | 6 |
| Date of Issue | 2018-03-01 (SIS) |
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