电子学报2023，Vol.51Issue(11)：3070-3078,9.DOI:10.12263/DZXB.20230513
基于多无人机的空中计算网络资源分配算法
Resource Allocation Algorithm of AirComp Network Based on Multiple UAVs
摘要
Abstract
Over-the-air computation(AirComp)is an effective method to improve the efficiency of distributed da-ta aggregation,which can complete some task calculations while transmitting in the air.Most existing researches focus on the single unmanned aerial vehicle(UAV)scheme,without considering the quality of data aggregation and the sta-bility of the system,making it unsuitable for practical AirComp environments.Therefore,this paper proposes an Air-Comp network based on multiple UAVs collaboration,which aims to achieve the efficient data aggregation for multiple ground mobile sensors(GMSs).In order to refine data acquisition and fully reflect system status,a multi-constraint non-convex optimization problem is constructed to jointly optimize UAV-GMS association,the three dimensional(3D)deployment of UAVs,UAV denoising factors,and transmission power allocation,aiming for maximizing the system's minimum achievable rate.Giving the nonlinear characteristics of multiple constraints optimization problems,a deep de-terministic policy gradient-based optimization algorithm for multiple UAVs cooperation in AirComp network(AirD-DPG-UAV)is proposed to assist UAVs rapidly responding to aggregation missions in complex environments.A deter-ministic policy in deep reinforcement is adopted to optimize the states,behaviors,and rewards of the AirComp net-work,aiming to maximize the minimal achievable rate.The numerical results show that the AirDDPG-UAV algorithm can significantly improve the system's minimum achievable rate by more than 15%compared to the benchmark meth-ods,while ensuring suitable system energy consumption and computational complexity.The AirDDPG-UAV algorithm also obtains satisfactory results in optimizing the mean MSE,which illustrates our method has excellent performance in scaling signals and thus is helpful for fast data aggregation.The experiments indicate the proposed scheme is appropri-ate for the distributed data aggregation with low cost and can obviously improve the efficiency and stability of data ag-gregation.关键词
无人机/空中计算/3D部署/深度确定性策略梯度算法/地面移动传感器/数据聚合Key words
unmanned aerial vehicle/over-the-air computation/3D deployment/deep deterministic policy gradient algorithm/ground mobile sensors/data aggregation分类
信息技术与安全科学引用本文复制引用
谈玲,许海,刘玉风,夏景明..基于多无人机的空中计算网络资源分配算法[J].电子学报,2023,51(11):3070-3078,9.基金项目
国家自然科学基金(No.62271264)National Natural Science Foundation of China(No.62271264) （No.62271264）
