Presentation | 2021-09-09 Network Slicing Resource Allocation Algorithm Based on Deep Q-Learning Honglin Zhou, Hitoshi Aida, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | As a key technology of 5G communication system, network slicing can guarantee the QoS of different service requirements for users by isolating slices under the same infrastructure. It requires on-demand resource allocation according to different requirements of slices. This research introduces an algorithm based on DQN to dynamically arrange the resource allocation to increase both the network resource utility and user satisfaction. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Network SlicingResource AllocationDeep Reinforcement LearningDQN |
Paper # | CQ2021-48 |
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-JTITLE |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Network Slicing Resource Allocation Algorithm Based on Deep Q-Learning |
Sub Title (in English) | |
Keyword(1) | Network SlicingResource AllocationDeep Reinforcement LearningDQN |
1st Author's Name | Honglin Zhou |
1st Author's Affiliation | The University of Tokyo(UTokyo) |
2nd Author's Name | Hitoshi Aida |
2nd Author's Affiliation | The University of Tokyo(UTokyo) |
Date | 2021-09-09 |
Paper # | CQ2021-48 |
Volume (vol) | vol.121 |
Number (no) | CQ-173 |
Page | pp.pp.48-52(CQ), |
#Pages | 5 |
Date of Issue | 2021-09-02 (CQ) |