文献类型：期刊文献

英文题名：Performance Analysis of Cooperative-Aerial-IRS-Assisted Heterogeneous Networks

作者：Tao, Ran[1];Liu, Wuling[2,3];Wu, Yue[4];Zhang, Jiliang[5,6,7];Chu, Xiaoli[8];Zhang, Jie[8]

机构：[1]Nanjing Univ Informat Sci & Technol, Dept Elect & Informat Engn, Nanjing 210044, Peoples R China;[2]Suzhou Aerosp Informat Res Inst, GSIS Dept, Suzhou 215000, Peoples R China;[3]Shanghai Zhangjiang Inst Math, Data Fus Dept, Shanghai 201203, Peoples R China;[4]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200231, Peoples R China;[5]Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China;[6]Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China;[7]Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 211102, Peoples R China;[8]Univ Sheffield, Dept Elect & Elect Engn, Sheffield S10 2TN, England

年份：2025

卷号：12

期号：4

起止页码：3816

外文期刊名：IEEE INTERNET OF THINGS JOURNAL

收录：;EI(收录号：20244417284484);WOS:【SCI-EXPANDED(收录号:WOS:001414873100008)】；

基金：This work was supported in part by the Startup Foundation for Introducing Talent of NUIST under Grant 1523142301309; in part by the Open Research Fund of National Mobile Communications Research Laboratory, Southeast University under Grant 2024D09; in part by the Basic Scientific Research Fund of The State Key Laboratory of Synthetical Automation for Process Industries; and in part by the National Natural Science Foundation of China under Grant 52477230. (Corresponding author: Ran Tao.)

语种：英文

外文关键词：Autonomous aerial vehicles; Interference; Macrocell networks; Probability density function; NOMA; Downlink; Internet of Things; Information science; Industries; Geometry; Intelligent reflecting surface (IRS); performance analysis; stochastic geometry; unmanned-aerial-vehicle (UAV)

摘要：Unmanned-aerial-vehicle (UAV) communications assisted by aerial intelligent reflecting surfaces (A-IRSs) have emerged as a highly regarded technology aiming to increase the communication capacity of cellular networks and improve user communication quality. However, the performance of combining UAV-carried A-IRSs with heterogeneous cellular networks (HetNets) has not been fully investigated. In this article, we develop a novel framework to analyze the downlink (DL) performance of an UAV-carried cooperative A-IRSs-enhanced HetNet. First, we model the cascaded fading of the A-IRS-assisted communication channel as a mixture of gamma variables and approximate its distribution function by using the moment matching method. Next, we obtain the exact closed-form expressions of the user-association probability and the probability density function (PDF) of the distance between any user and its serving BS. Then, we derive the Laplace transform of the received signal and the interference power of all types of users for our proposed A-IRS deployment strategy. Finally, we derive analytic expressions of the DL coverage probability and the energy efficiency of UAV networks, which are validated by the simulation results. The results demonstrate that our proposed theoretical framework significantly enhances the precision of analysis, and aligns closely with real-world scenarios. We also show the performance enhancement brought by cooperative A-IRSs, the advantages of our proposed A-IRS deployment strategy within HetNet, as well as the impact of the interference introduced by A-IRSs on direct transmissions.