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| Paper Abstract and Keywords | ||
| Presentation | 2022-08-26 09:50 Joint UAV Positioning and User Pairing via Reinforcement Learning Based Selection in NOMA Systems Ahmad Gendia, Osamu Muta (Kyushu Univ.), Sherief Hashima (RIKEN-AIP), Kohei Hatano (Kyushu Univ.)  RCS2022-114 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper proposes two reinforcement learning (RL)-based algorithms for millimeter wave (mmWave)-enabled unmanned aerial vehicle (UAV) communications toward beyond-5G (B5G). This can be especially useful in ad-hoc communication scenarios within a neighborhood with main-network connectivity problems such as in areas affected by natural disasters. Downlink non-orthogonal multiple access (NOMA) is an efficient protocol that can be utilized by the UAV to improve the overall sum-rate performance of the system. The dynamic selection of suitable hovering spots within the target zone where the UAV needs to be positioned as well as the proper node activation and NOMA power allocation are critical for optimized performance. Multiarmed bandit (MAB) and double deep Q-network (DDQN)-based solutions are proposed to address the joint problem of UAV positioning and node selection and power allocation for data transmission in downlink NOMA systems. To ensure that the proposed RL-based solutions can support high sum-rates, numerical simulations are presented. In addition, exhaustive and random search benchmarks are provided as baselines for the achievable upper and lower sum-rate levels, respectively. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | NOMA / UAV communications / Reinforcement learning / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 164, RCS2022-114, pp. 96-101, Aug. 2022. | |
| Paper # | RCS2022-114 | |
| Date of Issue | 2022-08-18 (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 | RCS2022-114 |
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| Conference Information | |
| Committee | SAT RCS |
| Conference Date | 2022-08-25 - 2022-08-26 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | RCS |
| Conference Code | 2022-08-SAT-RCS |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Joint UAV Positioning and User Pairing via Reinforcement Learning Based Selection in NOMA Systems |
| Sub Title (in English) | |
| Keyword(1) | NOMA |
| Keyword(2) | UAV communications |
| Keyword(3) | Reinforcement learning |
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| 1st Author's Name | Ahmad Gendia |
| 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 | Sherief Hashima |
| 3rd Author's Affiliation | RIKEN-AIP (RIKEN-AIP) |
| 4th Author's Name | Kohei Hatano |
| 4th Author's Affiliation | Kyushu University (Kyushu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-08-26 09:50:00 |
| Presentation Time | 25 minutes |
| Registration for | RCS |
| Paper # | RCS2022-114 |
| Volume (vol) | vol.122 |
| Number (no) | no.164 |
| Page | pp.96-101 |
| #Pages | 6 |
| Date of Issue | 2022-08-18 (RCS) |
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