Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/144698
Title: Hybrid-duplex systems for UAV communications under Rician shadowed fading
Authors: Tan, Ernest Zheng Hui
Madhukumar, A. S.
Sirigina, Rajendra Prasad
Krishna, Anoop Kumar
Keywords: Engineering::Computer science and engineering
Issue Date: 2019
Source: Tan, E. Z. H., Madhukumar, A. S., Sirigina, R. P. & Krishna, A. K. (2018). Hybrid-duplex systems for UAV communications under Rician shadowed fading. Proceedings of 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). doi:10.1109/VTCFall.2018.8690623
Conference: 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)
Abstract: With the growing popularity of unmanned aerial vehicles (UAVs), spectrum management is a pressing issue, particularly for multi-UAV systems. To this end, a hybrid-duplex (HBD) UAV communication system (UCS) consisting of a full-duplex (FD) enabled ground station (GS), and legacy half-duplex (HD) UAVs is proposed in this paper. To model the fading and shadowing environment commonly encountered in UAV communications, a mix of Rician and Rician shadowed fading is assumed. In particular, novel power series approximations of the Rician shadowed fading power probability density function (PDF), and cumulative distribution function (CDF) are presented, along with closed-form outage probability expressions. Performance analysis shows that the proposed HBD-UCS exhibits lower outage probability than the HD-UCS when shadowing is encountered at low signal-to-noise ratios (SNRs). Also, inter-UAV interference has a stronger influence on outage probability decay at low SNR regimes, with lower inter-UAV interference corresponding to a sharper decline in outage probability.
URI: https://hdl.handle.net/10356/144698
ISBN: 978-1-5386-6358-5
DOI: 10.1109/VTCFall.2018.8690623
Schools: School of Computer Science and Engineering 
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/VTCFall.2018.8690623
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

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