电讯技术2024，Vol.64Issue(7)：1042-1049,8.DOI:10.20079/j.issn.1001-893x.230825001
面向大规模物联网的无人机通信感知一体化能效优化算法
Energy Efficiency Optimization for UAV-enabled Integrated Sensing and Communication in Massive IoT Scenario
摘要
Abstract
Taking into account the repetition sensing and energy limitation of UAV-enabled integrated sensing and communication in massive Internet of Things(IoT)scenarios,the authors propose a novel energy-efficient optimization scheme based on clustering algorithm.The scheme aims to maximize the energy efficiency of the UAV by jointly optimizing the UAV three-dimensional(3D)trajectory and transmit power while meeting the constraints of the mobility and sensing ability of the UAV.To deal with this non-convex optimization problem,the original problem is decomposed into two subproblems.Then,the simulated annealing algorithms and convex optimization techniques are adopted to optimize the hovering positions and flight speeds,so as to abtain the optimal trajectory of the UAV.Finally,according to the optimal trajectory,the closed-form expressions for the transmission power are derived.The proposed clustering-based energy-efficient optimization algorithm can obtain 4 times convergence speed and 20%～30%energy efficient improvement compared with the traditional two-dimensional(2D)and 3D methods.关键词
大规模物联网/无人机通信感知一体化/能效优化/无人机轨迹设计/功率分配Key words
massive IoT/UAV-enabled integrated sensing and communication/energy efficiency optimization/UAV trajectory design/power allocation分类
信息技术与安全科学引用本文复制引用
宋利枝,季增栓,曾凤,王伟,杨永杰..面向大规模物联网的无人机通信感知一体化能效优化算法[J].电讯技术,2024,64(7):1042-1049,8.基金项目
江苏省重点研发计划项目(BE2021013-1) （BE2021013-1）
江苏省未来网络科研项目(FNSRFP-2021-YB-42) （FNSRFP-2021-YB-42）
