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Ergodic Sum Rate Analysis of UAV-Based Relay Networks with Mixed RF-FSO\n Channels

2020/01/03 by Hedieh Ajam, Marzieh Najafi, Ajam, Hedieh +5 · 1 citation
Computer Science · Engineering · #Distributed Control Multi-Agent Systems #FOS: Electrical engineering #Optical Wireless Communication Technologies #Signal Processing (eess.SP) #UAV Applications and Optimization #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2001.00871

openalex publication_date 2020/01/03 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28

Abstract

Unmanned aerial vehicle (UAV)-based communications is a promising new\ntechnology that can add a wide range of new capabilities to the current network\ninfrastructure. Given the flexibility, cost-efficiency, and convenient use of\nUAVs, they can be deployed as temporary base stations (BSs) for on-demand\nsituations like BS overloading or natural disasters. In this work, a UAV-based\ncommunication system with radio frequency (RF) access links to the mobile users\n(MUs) and a free-space optical (FSO) backhaul link to the ground station (GS)\nis considered. In particular, the RF and FSO channels in this network depend on\nthe UAV's positioning and (in)stability. The relative position of the UAV with\nrespect to the MUs impacts the likelihood of a line-of-sight (LOS) connection\nin the RF link and the instability of the hovering UAV affects the quality of\nthe FSO channel. Thus, taking these effects into account, we analyze the\nend-to-end system performance of networks employing UAVs as buffer-aided (BA)\nand non-buffer-aided (non-BA) relays in terms of the ergodic sum rate.\nSimulation results validate the accuracy of the proposed analytical derivations\nand reveal the benefits of buffering for compensation of the random\nfluctuations caused by the UAV's instability. Our simulations also show that\nthe ergodic sum rate of both BA and non-BA UAV-based relays can be enhanced\nconsiderably by optimizing the positioning of the UAV. We further study the\nimpact of the MU density and the weather conditions on the end-to-end system\nperformance.\n

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