| Presentation | 2021-09-10 Deep Reinforcement Learning Based Mode Selection for Coexistence of D2D-Unlicensed and Wi-Fi Wang Ganggui, Celimuge Wu, Tsutomu Yoshinaga, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The use of unlicensed bands on Device to Device (D2D) communication provides support for shortage of spectrum resources. However, significant impact on the traditional unlicensed networks caused by D2D-Unlicensed (D2D-U) is not negligible. Fair unlicensed spectrum sharing is very important for the D2D-Unlicensed/Wi-Fi coexistence scheme. D2D should choose a suitable coexistence mode to ensure the performance of the entire network in different communication environments. We proposed a deep reinforcement learning (DRL)-based algorithm for the mode selection to solve the coexistence problem of D2D-U and Wi-Fi. Simulation results show that the proposed DRL-based algorithm provides a considerable performance of the whole network while ensuring performance requirements of Wi-Fi. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Device-to-DeviceMode SelectionReinforcement Learning |
| Paper # | CQ2021-52 |
| Date of Issue | 2021-09-02 (CQ) |
| Conference Information | |
| Committee | CQ |
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| Conference Date | 2021/9/9(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Wireless Communications Quality, 6G, IoT, Resource Management, Wireless Transmission, Cross layer Technologies, etc. |
| Chair | Jun Okamoto(NTT) |
| Vice Chair | Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.) |
| Secretary | Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.) |
| Assistant | Yoshiaki Nishikawa(NEC) / Ryoichi Kataoka(KDDI Research) / Kimiko Kawashima(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Communication Quality |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Deep Reinforcement Learning Based Mode Selection for Coexistence of D2D-Unlicensed and Wi-Fi |
| Sub Title (in English) | |
| Keyword(1) | Device-to-DeviceMode SelectionReinforcement Learning |
| 1st Author's Name | Wang Ganggui |
| 1st Author's Affiliation | The University of Electro-Communications(UEC) |
| 2nd Author's Name | Celimuge Wu |
| 2nd Author's Affiliation | The University of Electro-Communications(UEC) |
| 3rd Author's Name | Tsutomu Yoshinaga |
| 3rd Author's Affiliation | The University of Electro-Communications(UEC) |
| Date | 2021-09-10 |
| Paper # | CQ2021-52 |
| Volume (vol) | vol.121 |
| Number (no) | CQ-173 |
| Page | pp.pp.71-76(CQ), |
| #Pages | 6 |
| Date of Issue | 2021-09-02 (CQ) |