非授权频段下无人机辅助通信的轨迹与资源分配优化

潘钰; 胡航; 金虎; 雷迎科; 冯辉; 姜丽; 张孟伯

doi:10.11999/JEIT240275

非授权频段下无人机辅助通信的轨迹与资源分配优化

doi: 10.11999/JEIT240275

潘钰¹,
胡航²,
金虎¹,
雷迎科¹,
冯辉¹,
姜丽^1, ,,
张孟伯¹

1.
国防科技大学电子对抗学院合肥 230031
2.
空军工程大学信息与导航学院西安 710082

基金项目: 陕西省自然科学基础研究计划(2024JC-YBMS-514)

详细信息

作者简介:
潘钰：女，讲师，研究方向为无人机通信

胡航：男，副教授，研究方向为无线移动通信

金虎：男，教授，研究方向为无线移动通信

雷迎科：男，教授，研究方向为无线移动通信

冯辉：男，讲师，研究方向为无线移动通信

姜丽：女，副教授，研究方向为通信抗干扰

张孟伯：男，讲师，研究方向为通信抗干扰

通讯作者:
姜丽　jiangli17@nudt.edu.cn

中图分类号: TN915
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- PDF下载量: 12
- 被引次数: 0
出版历程
- 收稿日期: 2024-04-15
- 修回日期: 2024-08-30
- 网络出版日期: 2024-09-09
- 刊出日期: 2024-11-10

Trajectory and Resource Allocation Optimization for Unmanned Aerial Vehicles Assisted Communications in Unlicensed Bands

PAN Yu¹,
HU Hang²,
JIN Hu¹,
LEI Yingke¹,
FENG Hui¹,
JIANG Li^{1
, ,},
ZHANG Mengbo¹

1.
School of Electronic Countermeasures, National University of Defense Technology, Hefei 230031, China
2.
Information and Navigation College, Aire Force Engineering University, Xi’an 710082, China

Funds: Shaanxi Province Natural Science Basic Research Program (2024JC-YBMS-514)

摘要

摘要: 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。
- 无人机通信 /
- 频谱共享 /
- 轨迹规划 /
- 凸优化
Abstract: 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) communication /
- Spectrum sharing /
- Trajectory planning /
- Convex optimization

HTML全文

图 1 城市环境下基于Underlay机制的UAV通信网络模型

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图 2 不同主网络位置下UAV的最优轨迹

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图 3 ${T_{{\text{tot}}}} = 55$ s时的最佳UAV-WD接入策略和发射功率

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图 4 改进的PSO算法下的UAV最优轨迹

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图 5 两种算法的收敛性对比

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图 6 任务时长变化时不同方案的性能对比

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