Ergodic Capacity Analysis of UAV-Based FSO Links Over Foggy Channels

被引：7

作者：

Jung, Kug-Jin ^{[1
,2
]}

Nam, Sung Sik ^{[3
]}

Alouini, Mohamed-Slim ^{[2
]}

Ko, Young-Chai ^{[1
]}

机构：

[1] Korea Univ, Sch Elect Engn, Seoul 02841, South Korea

[2] King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn Div, Thuwal 23955, Saudi Arabia

[3] Gachon Univ, Elect Engn, Seongnam 13120, South Korea

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2022年 / 11卷 / 07期

基金：

新加坡国家研究基金会;

关键词：

Atmospheric modeling; Probability density function; Autonomous aerial vehicles; Optical losses; Optical beams; Upper bound; Signal to noise ratio; Free space optics (FSO); unmanned aerial vehicle (UAV); foggy channel; ergodic capacity; PERFORMANCE;

D O I：

10.1109/LWC.2022.3175805

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this letter, we investigate the ergodic capacity of unmanned aerial vehicle (UAV)-based free space optics (FSO) links over random foggy channel. More specifically, we derive composite probability density function (PDF) and close approximation for the moments of the composite PDF using the statistical model of a UAV-based 3D pointing error and a random foggy channel. With it, we obtain upper bound and asymptotic approximation of the ergodic capacity for the two possible detection techniques of intensity modulation/direct detection (IM/DD) and heterodyne detection at high and low signal-to-noise ratio (SNR) regimes. The numerical results confirm all the presented analytic results via computer-based Monte-Carlo simulations.

引用

页码：1483 / 1487

页数：5

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