Joint Energy and SINR Coverage Probability in UAV Corridor-Assisted RF-Powered IoT Networks

IF 3.7 3区 计算机科学 Q2 TELECOMMUNICATIONS
Harris K. Armeniakos;Petros S. Bithas;Konstantinos Maliatsos;Athanasios G. Kanatas
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引用次数: 0

Abstract

This letter studies the joint energy and signal-to-interference-plus-noise (SINR)-based coverage probability in Unmanned Aerial Vehicle (UAV)-assisted radio frequency (RF)-powered Internet of Things (IoT) networks. The UAVs are spatially distributed in an aerial corridor that is modeled as a one-dimensional (1D) binomial point process (BPP). By accurately capturing the line-of-sight (LoS) probability of a UAV through large-scale fading: i) an exact form expression for the energy coverage probability is derived and ii) a tight approximation for the overall coverage performance is obtained. Among several key findings, numerical results reveal the optimal number of deployed UAV-BSs that maximizes the joint coverage probability, as well as the optimal length of the UAV corridors when designing such UAV-assisted IoT networks.
无人机走廊辅助射频驱动物联网网络联合能量和信噪比覆盖概率
本文研究了无人机(UAV)辅助射频(RF)驱动的物联网(IoT)网络中基于联合能量和信号干扰加噪声(SINR)的覆盖概率。无人机在空间上分布在一维二项点过程(BPP)的空中走廊中。通过大规模衰落准确捕获无人机的视距(LoS)概率:1)导出了能量覆盖概率的精确形式表达式;2)获得了总体覆盖性能的严密近似。在几个关键发现中,数值结果揭示了在设计此类无人机辅助物联网网络时,使联合覆盖概率最大化的部署无人机- bss的最佳数量,以及无人机走廊的最佳长度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Communications Letters
IEEE Communications Letters 工程技术-电信学
CiteScore
8.10
自引率
7.30%
发文量
590
审稿时长
2.8 months
期刊介绍: The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.
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