Outage Analysis of Optimal UAV Cooperation with IRS via Energy Harvesting Enhancement Assisted Computational Offloading

作     者：Baofeng Ji Ying Wang Weixing Wang Shahid Mumtaz Charalampos Tsimenidis 

作者机构：School of Information EngineeringHenan University of Science and TechnologyLuoyang471000China Research and Innovation Center of Intelligent SystemLongmen LaboratoryLuoyang471000China State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System(CEMEE)Luoyang471000China Sustainable Digital Communications and Energy Systems(DIGCOM)GroupNottingham Trent UniversityNottinghamUK 

出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)

年 卷 期：2024年第138卷第2期

页      面：1885-1905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] 081001[工学-通信与信息系统] 0701[理学-数学] 

基　　金：the National Natural Science Foundation of China(62271192) Henan Provincial Scientists Studio(GZS2022015) Central Plains Talents Plan(ZYYCYU202012173) NationalKeyR&DProgramofChina(2020YFB2008400) the Program ofCEMEE(2022Z00202B) LAGEO of Chinese Academy of Sciences(LAGEO-2019-2) Program for Science&Technology Innovation Talents in the University of Henan Province(20HASTIT022) Natural Science Foundation of Henan under Grant 202300410126 Program for Innovative Research Team in University of Henan Province(21IRTSTHN015) Equipment Pre-Research Joint Research Program of Ministry of Education(8091B032129) Training Program for Young Scholar of Henan Province for Colleges and Universities(2020GGJS172) Program for Science&Technology Innovation Talents in Universities of Henan Province under Grand(22HASTIT020) Henan Province Science Fund for Distinguished Young Scholars(222300420006) 

主　　题：Unmanned aerial vehicle(UAV) intelligent reflective surface(IRS) energy harvesting computational offloading outage probability 

摘      要：The utilization of mobile edge computing(MEC)for unmanned aerial vehicle(UAV)communication presents a viable solution for achieving high reliability and low latency *** study explores the potential of employing intelligent reflective surfaces(IRS)andUAVs as relay nodes to efficiently offload user computing tasks to theMEC server system ***,the user node accesses the primary user spectrum,while adhering to the constraint of satisfying the primary user peak interference ***,the UAV acquires energy without interrupting the primary user’s regular communication by employing two energy harvesting schemes,namely time switching(TS)and power splitting(PS).The selection of the optimal UAV is based on the maximization of the instantaneous signal-to-noise ***,the analytical expression for the outage probability of the system in Rayleigh channels is derived and *** study investigates the impact of various system parameters,including the number of UAVs,peak interference power,TS,and PS factors,on the system’s outage performance through *** proposed system is also compared to two conventional benchmark schemes:the optimal UAV link transmission and the IRS link *** simulation results validate the theoretical derivation and demonstrate the superiority of the proposed scheme over the benchmark schemes.