Intelligent UAV Based Energy Supply for 6G Wireless Powered IoT Networks  

作　　者：Miao Jiansong Chen Haoqiang Wang Pengjie Li Hairui Zhao Yan Mu Junsheng Yan Shi 

机构地区：[1]School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China [2]Beijing Key Laboratory of Network System Architecture and Convergence,Beijing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《China Communications》2024年第9期321-337,共17页中国通信（英文版）

基　　金：supported by the Natural Science Foundation of Beijing Municipality under Grant L192034。

摘　　要：In this paper,we develop a 6G wireless powered Internet of Things(IoT)system assisted by unmanned aerial vehicles(UAVs)to intelligently supply energy and collect data at the same time.In our dual-UAV scheme,UAV-E,with a constant power supply,transmits energy to charge the IoT devices on the ground,whereas UAV-B serves the IoT devices by data collection as a base station.In this framework,the system's energy efficiency is maximized,which we define as a ratio of the sum rate of IoT devices to the energy consumption of two UAVs during a fixed working duration.With the constraints of duration,transmit power,energy,and mobility,a difficult non-convex issue is presented by optimizing the trajectory,time duration allocation,and uplink transmit power of concurrently.To tackle the non-convex fractional optimization issue,we deconstruct it into three subproblems and we solve each of them iteratively using the descent method in conjunction with sequential convex approximation(SCA)approaches and the Dinkelbach algorithm.The simulation findings indicate that the suggested cooperative design has the potential to greatly increase the energy efficiency of the 6G intelligent UAV-assisted wireless powered IoT system when compared to previous benchmark systems.

关 键 词：6G wireless powered network energy efficiency IoT intelligent network UAV communication 

分 类 号：V279[航空宇航科学与技术—飞行器设计] TN929.5[电子电信—通信与信息系统] TP393[电子电信—信息与通信工程]