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| Presentation | 2018-07-12 10:20 On Selective MIMO Diversity for Mobile Radio Fumiyuki Adachi, Amnart Boonkajay (Tohoku Univ.)  RCS2018-93 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Multi-input multi-output (MIMO) diversity is an effective technique to improve the transmission performance in a frequency-selective fading environment. The well-known maximal-ratio transmit diversity (MRTD) and minimum mean square error combining diversity (MMSECD) allow only single antenna for reception and transmission, respectively, if the space-time block coding is not introduced. In this paper, aiming at increasing the diversity order, selective MIMO diversity is proposed, which selects the best antenna having good channel quality. Two antenna selection methods (i.e., the subcarrier-averaged antenna selection and the subcarrier-wise antenna selection) are considered. The achievable uncoded bit error rate (BER) performances when applying selective MIMO diversity to OFDM downlink and SC uplink are evaluated by computer simulation. Impacts of various design parameters, e.g., the number of antennas, the frequency selectivity of channel, the shadowing loss and path loss, are discussed. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Selective MIMO diversity / maximal-ratio transmit diversity / minimum mean square error combining diversity / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 125, RCS2018-93, pp. 81-86, July 2018. | |
| Paper # | RCS2018-93 | |
| Date of Issue | 2018-07-04 (RCS) | |
| ISSN | 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 | RCS2018-93 |
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| Conference Information | |
| Committee | ASN NS RCS SR RCC |
| Conference Date | 2018-07-11 - 2018-07-13 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hakodate Arena |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Wireless Distributed Network, Machine Learning and AI for Wireless Communications and Networks, M2M (Machine-to-Machine), D2D (Device-to-Device), IoT（Internet of Things）, etc. |
| Paper Information | |
| Registration To | RCS |
| Conference Code | 2018-07-ASN-NS-RCS-SR-RCC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | On Selective MIMO Diversity for Mobile Radio |
| Sub Title (in English) | |
| Keyword(1) | Selective MIMO diversity |
| Keyword(2) | maximal-ratio transmit diversity |
| Keyword(3) | minimum mean square error combining diversity |
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| 1st Author's Name | Fumiyuki Adachi |
| 1st Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 2nd Author's Name | Amnart Boonkajay |
| 2nd Author's Affiliation | Tohoku University (Tohoku Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-07-12 10:20:00 |
| Presentation Time | 25 minutes |
| Registration for | RCS |
| Paper # | RCS2018-93 |
| Volume (vol) | vol.118 |
| Number (no) | no.125 |
| Page | pp.81-86 |
| #Pages | 6 |
| Date of Issue | 2018-07-04 (RCS) |
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