无人机辅助通信中基于用户轨迹的无线资源和航迹优化
Radio resource and trajectory optimization for UAV assisted communication based on user route
- 通信学报 2022年43卷第3期 页码：225-232
- 作者机构：
1. 中国电子科技集团公司第五十四研究所，河北 石家庄 050081
2. 通信网信息传输与分发技术国家重点实验室，河北 石家庄 050081
- 作者简介：
[ "郎磊（1981- ），男，河北石家庄人，博士，中国电子科技集团公司第五十四研究所高级工程师，主要研究方向为新一代宽带移动通信、无线光通信、先进无线传输技术等" ]
[ "王荆宁（1981- ），男，山东海阳人，博士，中国电子科技集团公司第五十四研究所高级工程师，主要研究方向为新一代宽带移动通信、先进无线传输技术等" ]
[ "王一（1985- ），男，河北石家庄人，中国电子科技集团公司第五十四研究所工程师，主要研究方向为新一代宽带移动通信、先进无线传输技术等" ]
[ "赵子涛（1996- ），男，河北邢台人，中国电子科技集团公司第五十四研究所硕士生，主要研究方向为 5G 专用网络技术及通信覆盖增强技术等" ]
- 基金信息：河北省重点研发计划基金资助项目(20370402D)
DOI：10.11959/j.issn.1000-436x.2022059
中图分类号： TN929.5-
网络首发：2022-03，
纸质出版：2022-03-25
- 稿件说明：
移动端阅览
郎磊, 王荆宁, 王一, 等. 无人机辅助通信中基于用户轨迹的无线资源和航迹优化[J]. 通信学报, 2022,43(3):225-232.
Lei LANG, Jingning WANG, Yi WANG, et al. Radio resource and trajectory optimization for UAV assisted communication based on user route[J]. Journal on Communications, 2022, 43(3): 225-232.
郎磊, 王荆宁, 王一, 等. 无人机辅助通信中基于用户轨迹的无线资源和航迹优化[J]. 通信学报, 2022,43(3):225-232. DOI： 10.11959/j.issn.1000-436x.2022059.
Lei LANG, Jingning WANG, Yi WANG, et al. Radio resource and trajectory optimization for UAV assisted communication based on user route[J]. Journal on Communications, 2022, 43(3): 225-232. DOI： 10.11959/j.issn.1000-436x.2022059.
摘要
近年来，将无人机应用在无线通信网络中来提高系统性能的研究越来越普遍。针对无人机辅助移动用户通信的下行无线传输系统，提出了一种基于用户轨迹的无人机辅助通信系统无线资源分配和航迹优化方法。根据已知的用户运动轨迹提前获取估计的大尺度信道状态信息，以最大化用户的最小平均速率为目标，建立了一个联合优化无人机通信带宽分配和飞行航迹优化的问题。该问题是一个非凸优化问题，要优化的变量之间存在非线性耦合，通过引入辅助变量和分离变量交替优化的方法，将原问题分解为2个可以求解的近似凸优化子问题，并利用连续凸逼近方法对2个子问题交替迭代优化，得到原非凸问题一个近似次优解。仿真结果表明，所提方法能够有效提高用户的平均数据吞吐量，在保证所有用户的通信质量的前提下提高无人机辅助通信的效率。
Abstract
Recently
research on the application of unmanned aerial vehicle (UAV) in wireless communication networks has been widely studied.Aiming at the downlink wireless transmission system of UAV assisted mobile user communication
a method of resource allocation and trajectory optimization based on user route was proposed.According to the known user route
the estimated large-scale channel state information was obtained in advance
and a joint optimization problem of communication bandwidth allocation and trajectory optimization was established to maximize the minimum average rate of users.The problem was a nonconvex optimization problem
and there was nonlinear coupling between the variables.By introducing the method of alternating optimization of auxiliary variables and separated variables
the original problem was decomposed into two approximate convex optimization subproblems which could be solved
and the successive convex approximation was used to iteratively optimize the two subproblems
and an approximate suboptimal solution of the original nonconvex problem was obtained.Simulation results show that the proposed method of resource allocation and trajectory optimization can effectively improve the average data throughput of users
and improve the efficiency of UAV assisted communication on the premise of ensuring the communication quality of all users.
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Keywords
references
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