Joint Optimization for on-Demand Deployment of UAVs and Spectrum Allocation in UAVs-Assisted Communication

作     者：Chen Yong Liao Naiwen WangWei Zhang Xianyu Zhang Yu Chen Yong;Liao Naiwen;Wang Wei;Zhang Xianyu;Zhang Yu

作者机构：College of Communication EngineeringArmy Engineering University of PLANanjing 210007China The Sixty-Third Research InstituteNational University of Defense TechnologyNanjing 210007China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2024年第21卷第7期

页      面：278-290页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 082503[工学-航空宇航制造工程] 081001[工学-通信与信息系统] 0825[工学-航空宇航科学与技术] 

基　　金：supported by Project funded by China Postdoctoral Science Foundation(No.2021MD703980) 

主　　题：block coordinate descent method on-demand deployment spectrum allocation UAVs-assisted Communication 

摘      要：To improve the efficiency and fairness of the spectrum allocation for ground communication assisted by unmanned aerial vehicles(UAVs),a joint optimization method for on-demand deployment and spectrum allocation of UAVs is proposed,which is modeled as a mixed-integer non-convex optimization problem(MINCOP).An algorithm to estimate the minimum number of required UAVs is firstly proposed based on the pre-estimation and simulated *** MINCOP is then decomposed into three sub-problems based on the block coordinate descent method,including the spectrum allocation of UAVs,the association between UAVs and ground users,and the deployment of ***,the optimal spectrum allocation is derived based on the interference mitigation and channel *** association between UAVs and ground users is optimized based on local iterated optimization.A particle-based optimization algorithm is proposed to resolve the subproblem of the UAVs *** results show that the proposed method could effectively improve the minimum transmission rate of UAVs as well as user fairness of spectrum allocation.