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A Low-Altitude Network Base Station Planning Model Based on PPO Algorithm
Bo YP(薄云鹏)1; Kang, Kang2; Li, Wenbin2; Pan, Guixin2; Wang M(汪敏)3
会议录名称2024 IEEE 10th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2024
2024
DOI10.1109/MAPE62875.2024.10813861
产权排序第1完成单位
收录类别EI
会议名称10th IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 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
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.
资助项目N/A
项目资助者N/A
语种英语
学科领域电子、通信与自动控制技术
文章类型Conference article (CA)
出版者IEEE
ISBN号9798331533922
URL查看原文
EI入藏号20250517783200
EI主题词Unmanned aerial vehicles (UAV)
EI分类号1101.2 - 652 Aircraft and Avionics - 652.1 Aircraft, General - 716 Telecommunication ; Radar, Radio and Television - 716.3 Radio Systems and Equipment - 718.1 Telephone Systems and Equipment
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文献类型会议论文
条目标识符http://ir.ynao.ac.cn/handle/114a53/28072
专题射电天文研究组
作者单位1.China United Network Communications Group Co. Ltd, Yunnan Observatories, Chinese Academy of Sciences University, Chinese Academy of Sciences, Kunming, China;
2.China United Network Communications Group Co. Ltd., Guangdong Branch, Guangzhou, China;
3.Chinese Academy of Sciences, Yunnan Observatories, Kun Ming, China
第一作者单位中国科学院云南天文台
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GB/T 7714
Bo YP,Kang, Kang,Li, Wenbin,et al. A Low-Altitude Network Base Station Planning Model Based on PPO Algorithm[C]:IEEE,2024.
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