Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/107499
Title: A power series approach for hybrid-duplex UAV communication systems under rician shadowed fading
Authors: Madhukumar, A. S.
Sirigina, Rajendra Prasad
Tan, Ernest Zheng Hui
Krishna, Anoop Kumar
Keywords: Unmanned Aerial Vehicle
Spectrum Efficiency
Engineering::Computer science and engineering
Issue Date: 2019
Source: Tan, E. Z. H., Madhukumar, A. S., Sirigina, R. P., & Krishna, A. K. (2019). A power series approach for hybrid-duplex UAV communication systems under rician shadowed fading. IEEE Access, 7, 76949-76966. doi:10.1109/ACCESS.2019.2921800
Series/Report no.: IEEE Access
Abstract: A hybrid-duplex (HBD) UAV communication system (UCS), i.e., HBD-UCS, to improve spectrum utilization is investigated in this work. By considering the combined effect of fading and shadowing, a comprehensive outage probability analysis of the HBD-UCS under various inter-UAV interference and shadowing scenarios over Rician shadowed fading channels is conducted. It is demonstrated that the ground station (GS) in full-duplex (FD) mode operates at lower outage probability than in half-duplex (HD) mode. Furthermore, the joint detector is shown to achieve lower outage probability than the interference ignorant (II) detector and HD-UCS, even when severe shadowing is encountered. As such, utilizing joint detectors in an HBD-UCS enables multi-UAV networks to achieve high reliability when operating in urban environments.
URI: https://hdl.handle.net/10356/107499
http://hdl.handle.net/10220/49698
DOI: 10.1109/ACCESS.2019.2921800
Schools: School of Computer Science and Engineering 
Rights: © 2019 IEEE. Articles accepted before 12 June 2019 were published under a CC BY 3.0 or the IEEE Open Access Publishing Agreement license. Questions about copyright policies or reuse rights may be directed to the IEEE Intellectual Property Rights Office at +1-732-562-3966 or copyrights@ieee.org.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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