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| Paper Abstract and Keywords | ||
| Presentation | 2023-03-01 16:05 Neural Network Based Wideband Digtial Post-distortion for Virtualized Terminal Taishi Watanabe, Takeo Ohseki, Yoshiaki Amano (KDDI Research, Inc.)  RCS2022-262 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | A virtualised terminal consisting of a normal user terminal and multiple RF relay devices that perform frequency conversion has been proposed to achieve throughput of 100 Gbps or higher on the uplink in Beyond 5G. The RF relay devices in the virtualised terminal are assumed to transmit Amplify and forward relaying without demodulation and decoding using an ultra-wide bandwidth such as 4.8 GHz. Therefore, in addition to the non-linear distortion generated by the power amplifier of the user terminal, the quality degradation of the ultra-wideband signal due to the non-linear distortion generated by the relay device becomes an issue. This paper models the non-linear distortion at the virtualised terminal and compensates for the non-linear distortion generated at the relay device by performing non-linear distortion compensation at the receiver, thereby improving signal quality. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Neural Network / Non-linear Compensation / Digital Post-distortion / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 399, RCS2022-262, pp. 88-93, March 2023. | |
| Paper # | RCS2022-262 | |
| Date of Issue | 2023-02-22 (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 | RCS2022-262 |
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| Conference Information | |
| Committee | RCS SR SRW |
| Conference Date | 2023-03-01 - 2023-03-03 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Institute of Technology, and Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Paper Information | |
| Registration To | RCS |
| Conference Code | 2023-03-RCS-SR-SRW |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Neural Network Based Wideband Digtial Post-distortion for Virtualized Terminal |
| Sub Title (in English) | |
| Keyword(1) | Neural Network |
| Keyword(2) | Non-linear Compensation |
| Keyword(3) | Digital Post-distortion |
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| 1st Author's Name | Taishi Watanabe |
| 1st Author's Affiliation | KDDI Research, Inc. (KDDI Research, Inc.) |
| 2nd Author's Name | Takeo Ohseki |
| 2nd Author's Affiliation | KDDI Research, Inc. (KDDI Research, Inc.) |
| 3rd Author's Name | Yoshiaki Amano |
| 3rd Author's Affiliation | KDDI Research, Inc. (KDDI Research, Inc.) |
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| Speaker | Author-1 |
| Date Time | 2023-03-01 16:05:00 |
| Presentation Time | 25 minutes |
| Registration for | RCS |
| Paper # | RCS2022-262 |
| Volume (vol) | vol.122 |
| Number (no) | no.399 |
| Page | pp.88-93 |
| #Pages | 6 |
| Date of Issue | 2023-02-22 (RCS) |
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