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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.00767 |
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| _version_ | 1866917055102451712 |
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| author | Gengtian, Shi Koshimizu, Takashi Saito, Megumi Zhenni, Pan Jiang, Liu Shimamoto, Shigeru |
| author_facet | Gengtian, Shi Koshimizu, Takashi Saito, Megumi Zhenni, Pan Jiang, Liu Shimamoto, Shigeru |
| contents | In device-to-device (D2D) communication under a cell with resource sharing mode the spectrum resource utilization of the system will be improved. However, if the interference generated by the D2D user is not controlled, the performance of the entire system and the quality of service (QOS) of the cellular user may be degraded. Power control is important because it helps to reduce interference in the system. In this paper, we propose a reinforcement learning algorithm for adaptive power control that helps reduce interference to increase system throughput. Simulation results show the proposed algorithm has better performance than traditional algorithm in LTE (Long Term Evolution). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_00767 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Power Control Based on Multi-Agent Deep Q Network for D2D Communication Gengtian, Shi Koshimizu, Takashi Saito, Megumi Zhenni, Pan Jiang, Liu Shimamoto, Shigeru Networking and Internet Architecture In device-to-device (D2D) communication under a cell with resource sharing mode the spectrum resource utilization of the system will be improved. However, if the interference generated by the D2D user is not controlled, the performance of the entire system and the quality of service (QOS) of the cellular user may be degraded. Power control is important because it helps to reduce interference in the system. In this paper, we propose a reinforcement learning algorithm for adaptive power control that helps reduce interference to increase system throughput. Simulation results show the proposed algorithm has better performance than traditional algorithm in LTE (Long Term Evolution). |
| title | Power Control Based on Multi-Agent Deep Q Network for D2D Communication |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2511.00767 |