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| Presentation | 2022-07-14 14:50 A Study on Joint Peak Cancellation and In-band Distortion Compensation for Precoded Massive MIMO-OFDM with Uniform Planar Array Riku Nojima, Osamu Muta, Tomofumi Makita (Kyushu Univ.), Kazuki Maruta (Tokyo Univ. of Science)  RCS2022-88 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper proposes an in-band distortion redKM{compensation} (IDC) scheme for peak cancellation (PC) based peak-to-average power ratio (PAPR) reduction in massive multi-input multi-output orthogonal frequency division multiplexing (mMIMO-OFDM) with a uniform planar array (UPA). In the proposed scheme, properly selected transmit antennas, i.e., in-band distortion compensation antenna, are designed to compensate in-band distortion because of PC, where the beam-formed IDC signals are transmitted through the compensation antennas so that each user can receive its own data signal with no in-band distortion. Based on the idea that higher in-band distortion compensation accuracy is achieved if the IDC signal itself is less affected by power amplifier nonlinearity, the proposed scheme performs the in-band distortion cancellation by selecting appropriate antenna distribution for compensation to minimize nonlinear distortion of the IDC signal. Simulation results show that the proposed scheme achieves better BER performance than conventional schemes and that instantaneous power at the complementary cumulative distribution function (CCDF)=$10^{-4}$ is reduced to $3$ dB. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Massive MIMO / OFDM / peak cancellation / PAPR / in-band distortion compensation / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 106, RCS2022-88, pp. 101-106, July 2022. | |
| Paper # | RCS2022-88 | |
| Date of Issue | 2022-07-06 (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 | RCS2022-88 |
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| Conference Information | |
| Committee | NS SR RCS SeMI RCC |
| Conference Date | 2022-07-13 - 2022-07-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | The Kanazawa Theatre + Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Distributed Wireless Network, M2M (Machine-to-Machine)，D2D (Device-to-Device)，IoT（Internet of Things）, etc |
| Paper Information | |
| Registration To | RCS |
| Conference Code | 2022-07-NS-SR-RCS-SeMI-RCC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Joint Peak Cancellation and In-band Distortion Compensation for Precoded Massive MIMO-OFDM with Uniform Planar Array |
| Sub Title (in English) | |
| Keyword(1) | Massive MIMO |
| Keyword(2) | OFDM |
| Keyword(3) | peak cancellation |
| Keyword(4) | PAPR |
| Keyword(5) | in-band distortion compensation |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Riku Nojima |
| 1st Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 2nd Author's Name | Osamu Muta |
| 2nd Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 3rd Author's Name | Tomofumi Makita |
| 3rd Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 4th Author's Name | Kazuki Maruta |
| 4th Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
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| Speaker | Author-1 |
| Date Time | 2022-07-14 14:50:00 |
| Presentation Time | 25 minutes |
| Registration for | RCS |
| Paper # | RCS2022-88 |
| Volume (vol) | vol.122 |
| Number (no) | no.106 |
| Page | pp.101-106 |
| #Pages | 6 |
| Date of Issue | 2022-07-06 (RCS) |
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