物联网学报2024，Vol.8Issue(1)：29-39,11.DOI:10.11959/j.issn.2096-3750.2024.00380
无人机辅助蜂窝网络的模式选择与资源优化
Mode selection and resource optimization for UAV-assisted cellular networks
摘要
Abstract
The resource allocation and optimization scheme was studied in a coexistence scenario of unmanned aerial ve-hicle(UAV)and cellular communication network.To improve spectrum efficiency of the system,UAV users could reuse the cellular spectrum resources to access the network through full duplex or half duplex device-to-device technique.Addi-tionally,a joint access control,mode selection,power control and resource allocation optimization problem was formu-lated to maximize the overall throughput of the network while ensuring quality of service requirements for both UAV us-ers and ground cellular users.Specifically,the phase 1 method in the convex optimization was adopted for access control and feasibility check,and then the convex and concave procedure(CCCP)iterative algorithm was used to solve the power control problem for feasible UAV user pairs.By using this local optimum value,the original optimization problem can be simplified into a weighted maximization problem.Finally,the Kuhn-Munkres(KM)algorithm was used to match the optimal channel resources and obtain the global optimal throughput value of the system.Numerical results show that the proposed scheme can significantly improve the performance of system.关键词
无人机通信/全双工设备对设备技术/模式选择/功率控制/资源分配与优化Key words
unmanned aerial vehicle communication/full duplex device to device technique/mode selection/power con-trol/resources allocation and optimization分类
信息技术与安全科学引用本文复制引用
冯大权,郑灿健,孔祥琦..无人机辅助蜂窝网络的模式选择与资源优化[J].物联网学报,2024,8(1):29-39,11.基金项目
国家重点研发计划(No.2020YFB1807601) （No.2020YFB1807601）
广东省重点研发计划(No.2022B0101010001) （No.2022B0101010001）
深圳市科技计划(No.JCYJ20210324095209025) The National Key Research and Development Program of China(No.2020YFB1807601),The Key Research and Development Program of Guangdong(No.2022B0101010001),The Shenzhen Science and Technology Program(No.JCYJ20210324095209025) （No.JCYJ20210324095209025）
