A Low-Altitude Network Base Station Planning Model Based on PPO Algorithm
文献类型：会议论文
| 作者 | Bo YP(薄云鹏)2 ; Kang, Kang1; Li, Wenbin1; Pan, Guixin1; Wang M(汪敏)3
|
| 出版日期 | 2024 |
| 会议日期 | 2024-11-27 |
| 会议地点 | Guangzhou, China |
| 关键词 | UAV Communication Low Altitude Network PPO Base Station Planning Reinforcement Learning |
| DOI | 10.1109/MAPE62875.2024.10813861 |
| 英文摘要 | The rapid development of low-altitude unmanned aerial vehicles (UAVs) has led to significant communication demands. Leveraging cellular networks to support low-altitude UAV communication offers cost advantages. However, existing cellular networks suffer from inadequate aerial coverage and the complexity of urban terrestrial channels. To address these challenges, we propose a novel low-altitude network base station planning model based on the Proximal Policy Optimization (PPO) algorithm. Our approach involves calculating the low-altitude coverage capabilities of different base station types using ray tracing techniques. We construct a decision model for base station placement and utilize the PPO algorithm to determine optimal base station configurations. Through reinforcement learning training and simulation validation, we demonstrate that our model effectively generates base station deployment plans, achieving predefined signal coverage objectives. |
| 产权排序 | 第1完成单位 |
| 资助机构 | N/A |
| 会议录 | 2024 IEEE 10th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2024
 |
| 会议录出版者 | IEEE |
| 文献子类 | Conference article (CA) |
| 学科主题 | 电子、通信与自动控制技术 |
| 语种 | 英语 |
| URL标识 | 查看原文 |
| 资助项目 | N/A |
| ISBN号 | 9798331533922 |
| 源URL | [http://ir.ynao.ac.cn/handle/114a53/28072]  |
| 专题 | 云南天文台_射电天文研究组 |
| 作者单位 | 1.China United Network Communications Group Co. Ltd., Guangdong Branch, Guangzhou, China; 2.China United Network Communications Group Co. Ltd, Yunnan Observatories, Chinese Academy of Sciences University, Chinese Academy of Sciences, Kunming, China; 3.Chinese Academy of Sciences, Yunnan Observatories, Kun Ming, China |
| 推荐引用方式 GB/T 7714 | Bo YP,Kang, Kang,Li, Wenbin,et al. A Low-Altitude Network Base Station Planning Model Based on PPO Algorithm[C]. 见:. Guangzhou, China. 2024-11-27. |
入库方式： OAI收割
来源：云南天文台
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