Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/144697
Title: | Hybrid-duplex communications for multi-UAV networks : an outage probability analysis | 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. (2019). Hybrid-duplex communications for multi-UAV networks : an outage probability analysis. IEEE Communications Letters, 23(10), 1831-1835. doi:10.1109/LCOMM.2019.2929392 | Journal: | IEEE Communications Letters | Abstract: | In this letter, the outage probability of an unmanned aerial vehicle (UAV) network with hybrid-duplex (HBD) UAV communications is investigated in a stochastic geometry framework. We demonstrate that the HBD UAV communication system (HBD-UCS) can concurrently support more UAVs while achieving higher reliability than the half-duplex (HD) UCS (HD-UCS). Specifically, at low transmit power regimes, it is shown that the HBD-UCS attains lower uplink and downlink outage probability than an HD-UCS, as the UAV operating altitude is increased. | URI: | https://hdl.handle.net/10356/144697 | ISSN: | 1089-7798 | DOI: | 10.1109/LCOMM.2019.2929392 | Schools: | School of Computer Science and Engineering | Rights: | © 2019 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/LCOMM.2019.2929392 | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Journal Articles |
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Hybrid Duplex Communications for Multi UAV Networks An Outage Probability Analysis.pdf | 268.24 kB | Adobe PDF | ![]() View/Open |
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