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| Presentation | 2019-06-20 11:20 Quantized Precoding using Gibbs Sampling in Massive MIMO Downlink Riki Okawa, Yukitoshi Sanada (Keio Univ.)  RCS2019-73 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The sum rate performance of quantized precoding using Gibbs sampling is evaluated in a massive multiple-input multiple-output (MIMO) system in this paper. The massive MIMO is a promising technique to improve spectrum efficiency and energy efficiency. In a full digital massive MIMO system, however, the resolution of digital-to-analogue converters (DACs) in transmit antenna branches have to be low enough because of their power consumption. Therefore, quantized precoding or precoding with the low resolution DACs is investigated. A conventional optimization criterion minimizes errors between a desired received signal and a designed signal. However, the system sum rate may decrease as it increases transmit power. This paper proposes two optimization criteria that take not only the errors but also the transmit power into account to select the candidate quantized transmit signal in order to maximize the sum rate. Moreover, Gibbs sampling is applied to obtain the suboptimal solution of the optimization problem. Numerical results obtained through computer simulation show that the proposed sum rate based criterion for the optimization achieves the approximately 1.3 times higher sum rate than the conventional criterion on a Rician fading channel. On the other hand, the proposed symbol-power-to-mean-square-error ratio (SMSER) based criterion shows faster optimization convergence on both Rician and Rayleigh fading channels. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Massive MIMO / Quantized Precoding / Low Resolution DACs / Gibbs Sampling / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 90, RCS2019-73, pp. 221-226, June 2019. | |
| Paper # | RCS2019-73 | |
| Date of Issue | 2019-06-12 (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 | RCS2019-73 |
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| Conference Information | |
| Committee | RCS |
| Conference Date | 2019-06-19 - 2019-06-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Miyakojima Hirara Port Terminal Building |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | First Presentation in IEICE Technical Committee, Resource Control, Scheduling, Wireless Communications, etc. |
| Paper Information | |
| Registration To | RCS |
| Conference Code | 2019-06-RCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Quantized Precoding using Gibbs Sampling in Massive MIMO Downlink |
| Sub Title (in English) | |
| Keyword(1) | Massive MIMO |
| Keyword(2) | Quantized Precoding |
| Keyword(3) | Low Resolution DACs |
| Keyword(4) | Gibbs Sampling |
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| 1st Author's Name | Riki Okawa |
| 1st Author's Affiliation | Keio University (Keio Univ.) |
| 2nd Author's Name | Yukitoshi Sanada |
| 2nd Author's Affiliation | Keio University (Keio Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-06-20 11:20:00 |
| Presentation Time | 10 minutes |
| Registration for | RCS |
| Paper # | RCS2019-73 |
| Volume (vol) | vol.119 |
| Number (no) | no.90 |
| Page | pp.221-226 |
| #Pages | 6 |
| Date of Issue | 2019-06-12 (RCS) |
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