Ergodic Capacity Analysis for FSO Communications with UAV-Equipped IRS in the Presence of Pointing Error
Haocheng Jia, Jie Zhong, Mukund Nilakantan Janardhanan, Gaojie Chen
Abstract
This paper proposes an intelligent reflecting surface (IRS) carried by an Unmanned Aerial Vehicle (UAV) for laser path controllable free-space optical (FSO) communication system. To quantify the physical impacts of this system, the generalized atmospheric turbulence is modelled as Gamma-Gamma distribution, and specified pointing error loss is modelled as Hoyt distribution, these channel coefficients participate in the performance assessment by form of the ergodic capacity. A closed-form expression of the asymptotic ergodic capacity is derived. Finally, the model is verified by the Monte Carlo simulation successfully.
Topics & Concepts
Ergodic theoryPath lossFree-space optical communicationComputer scienceChannel (broadcasting)ErgodicityChannel capacityMonte Carlo methodTurbulenceCommunications systemDistribution (mathematics)Topology (electrical circuits)Optical communicationControl theory (sociology)Electronic engineeringMathematicsTelecommunicationsEngineeringWirelessPhysicsArtificial intelligenceMeteorologyMathematical analysisElectrical engineeringStatisticsControl (management)Optical Wireless Communication TechnologiesAdvanced Wireless Communication TechnologiesSatellite Communication Systems