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Ergodic Capacity Analysis of UAV-Based FSO Links Over Foggy Channelsopen access
- Issue Date
- Jul-2022
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- 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
- Citation
- IEEE WIRELESS COMMUNICATIONS LETTERS, v.11, no.7, pp.1483 - 1487
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE WIRELESS COMMUNICATIONS LETTERS
- Volume
- 11
- Number
- 7
- Start Page
- 1483
- End Page
- 1487
- ISSN
- 2162-2337
- Abstract
- 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.
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