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| Presentation | 2023-07-13 10:15 NOMA-HARQ with Adaptive Termination Based on Early Decision Using Channel State Information for URLLC Go Takita, Takanori Hara (Tokyo Univ. of Science), Yasuaki Yuda (Panasonic), Kenichi Higuchi (Tokyo Univ. of Science)  RCS2023-88 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper extends our previously reported a repetition-based low-latency non-orthogonal multiple access (NOMA)- hybrid automatic repeat request (HARQ) method with adaptive termination for downlink ultra-reliable low latency communications (URLLC) to adaptively terminate packet transmissions early using early acknowledgement (ACK) feedback based on the channel state information (CSI) obtained before channel decoding. In the proposed method, a user terminal calculates the metric based on the CSI obtained before channel coding to determine whether it performs early ACK feedback and feeds back ACK to the base station without waiting for the channel decoding results based on the metric threshold judgement result. We set the threshold that suppresses an increase in a packet error rate (PER) due to erroneous early ACK feedback. The proposed method using the suitable threshold can reduce throughput degradation because it reduces unnecessary retransmissions compared to conventional ACK feedback while minimizing the increase in PER. Computer simulations show that the proposed method can increase throughput while achieving a PER nearly equivalent to that without early ACK feedback. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | URLLC / hybrid ARQ / repetition / NOMA / early decision of adaptive termination / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 108, RCS2023-88, pp. 45-50, July 2023. | |
| Paper # | RCS2023-88 | |
| Date of Issue | 2023-07-05 (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 | RCS2023-88 |
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| Conference Information | |
| Committee | SeMI RCS RCC NS SR |
| Conference Date | 2023-07-12 - 2023-07-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Osaka University Nakanoshima Center + 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 | 2023-07-SeMI-RCS-RCC-NS-SR |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | NOMA-HARQ with Adaptive Termination Based on Early Decision Using Channel State Information for URLLC |
| Sub Title (in English) | |
| Keyword(1) | URLLC |
| Keyword(2) | hybrid ARQ |
| Keyword(3) | repetition |
| Keyword(4) | NOMA |
| Keyword(5) | early decision of adaptive termination |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Go Takita |
| 1st Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
| 2nd Author's Name | Takanori Hara |
| 2nd Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
| 3rd Author's Name | Yasuaki Yuda |
| 3rd Author's Affiliation | Panasonic Holdings Corporation (Panasonic) |
| 4th Author's Name | Kenichi Higuchi |
| 4th Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
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| Speaker | Author-1 |
| Date Time | 2023-07-13 10:15:00 |
| Presentation Time | 25 minutes |
| Registration for | RCS |
| Paper # | RCS2023-88 |
| Volume (vol) | vol.123 |
| Number (no) | no.108 |
| Page | pp.45-50 |
| #Pages | 6 |
| Date of Issue | 2023-07-05 (RCS) |
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