摘要
面向无人机基站为地面用户提供通信覆盖的场景,综合考虑用户服务质量、无人机之间的连通和服务公平性,以最大化服务用户数为目标,对无人机的三维坐标和覆盖半径进行优化。由于该问题是非确定性多项式难题,设计了一种将遗传算法和粒子群算法相结合的启发式算法和高度微调法部署无人机。分别在用户随机分布和分簇分布模式下进行仿真,结果验证了所提算法的有效性。
Oriented to the scenario where unmanned aerial vehicle(UAV)base stations provide communication coverage for ground users,the three-dimensional coordinates and coverage radius of UAVs are optimized with the objective of maximizing the number of users served by comprehensively considering the quality of service of users,the connectivity between UAVs,and the fairness of the UAVs service.The problem is a non-deterministic polynomial puzzle,so a heuristic algorithm combining Genetic Algorithm and Particle Swarm Optimization algorithm and a Height Fine-tuning Method are designed to deploy UAVs.Simulations are performed in user random distribution and cluster distribution modes,respectively,and the results verify the effectiveness of the proposed algorithm.
作者
曾晓婉
王海军
马东堂
周力
ZENG Xiaowan;WANG Haijun;MA Dongtang;ZHOU Li(College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China)
出处
《电讯技术》
北大核心
2023年第11期1732-1741,共10页
Telecommunication Engineering
关键词
无人机(UAV)
空中基站
部署优化
启发式算法
最大化覆盖
unmanned aerial vehicle(UAV)
airborne base station
deployment optimization
heuristic algorithm
maximum coverage
