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非授权频段下无人机辅助通信的轨迹与资源分配优化

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为解决无人机(UAV)在非授权频段下频谱资源受限的瓶颈问题,针对城市环境中UAV辅助监测的通信网络,该文提出一种下垫式(Underlay)接入机制下的高谱效联合优化方案.基于UAV的高机动性将空地信道建模为概率性视距(LoS)信道,考虑同信道干扰和UAV最大速度约束建立联合功率分配-轨迹规划的混合资源优化模型,在主用户占用频谱情况下使UAV在给定任务时间内实现监测数据的快速传输.原始问题为NP-hard的混合整数非凸问题,首先将其解耦为双层规划问题,采用松弛变量和逐次凸逼近(SCA)技术将轨迹问题转换为凸规划问题后实现有效求解.仿真验证了所提联合优化方案相比改进粒子群优化(PSO)方案能够提升最高约19%的频谱效率,且对于维度较高的轨迹规划问题,所提基于SCA的算法具有更低的算法复杂度和更快的收敛性.
Trajectory and Resource Allocation Optimization for Unmanned Aerial Vehicles Assisted Communications in Unlicensed Bands
To solve the bottleneck problem of constrained spectrum resource for Unmanned Aerial Vehicles(UAVs)in unlicensed bands,a co-optimization scheme high spectral efficiency in underlay mechanism is proposed for UAV-assisted monitoring communication networks in urban environment.Considering the high maneuverability of UAVs,the air-to-ground channel is modeled as a probabilistic Line-of-Sight(LoS)channel,and the co-channel interference and maximum speed constraints are adopted to formulate a hybrid resource optimization model for power allocation and trajectory planning,enabling UAVs to construct the fast transmission scheme for monitoring data with occupied spectrum within the given time.The original problem is an NP-hard and non-convex integer problem,which is first decomposed into a two-layer programming problem,and then solved by applying the slack variable and Successive Convex Approximation(SCA)technologies to transform the trajectory design problem into a convex programming problem.Compared with the Particle Swarm Optimization(PSO)algorithm,the proposed joint optimization scheme is verified to improve the spectral efficiency by up to about 19%in simulations.For high-dimensional trajectory planning problems,the SCA-based algorithm is proved to have lower complexity and faster convergence.

Unmanned Aerial Vehicle(UAV)communicationSpectrum sharingTrajectory planningConvex optimization

潘钰、胡航、金虎、雷迎科、冯辉、姜丽、张孟伯

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国防科技大学电子对抗学院 合肥 230031

空军工程大学信息与导航学院 西安 710082

无人机通信 频谱共享 轨迹规划 凸优化

2024

电子与信息学报
中国科学院电子学研究所 国家自然科学基金委员会信息科学部

电子与信息学报

CSTPCD北大核心
影响因子:1.302
ISSN:1009-5896
年,卷(期):2024.46(11)