On second-order statistics of the composite channel models for UAV-to-ground communications with UAV selection

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dc.contributor.author Stefanovic, Caslav
dc.contributor.author Panic, Stefan
dc.contributor.author Bhatia, Vimal
dc.contributor.author Kumar, Nagendra
dc.date.accessioned 2021-03-23T09:01:11Z
dc.date.available 2021-03-23T09:01:11Z
dc.date.issued 2021-03-23
dc.identifier.bibliographicCitation IEEE open journal of the communications society, vol. 2, March 2021, Pp. 534-544
dc.identifier.issn 2644-125X
dc.identifier.uri http://hdl.handle.net/10016/32203
dc.description.abstract Unmanned-aerial-vehicles (UAVs) are intended to be a vital part of beyond 5G (B5G) and 6G communication networks. UAV-to-ground communications in urban and populated areas are usually exposed to highly variable propagation conditions that can be often characterized by composite fading channels. This paper provides mathematical framework for the performance evaluation of UAV-to-ground communications over double-scattered single-shadowed (DS-SS), and double scattered double shadowed (DS-DS) fading channels. To analyse in details we provide probability density function (PDF), cumulative distribution function (CDF), average fade duration (AFD) and level crossing rate (LCR) of the product of double Nakagami-m (DN) and single inverse Gamma (SIG) random processes (RPs), as well as the product of DN and double inverse Gamma (DIG) RPs. Furthermore, the derived integral-form formulas for the second order (SO) statistical measures are approximated by Laplace integration (LI) and exponential LI in order to provide closed-form expressions. The impact of DS-SS and DS-DS fading types on the SO statistics of UAV-to-ground propagation scenario are thoroughly examined. Moreover, the impact of different values of DS-SS and DS-DS fading severities on the SO statistics are also taken into investigation. Lastly, the proposed UAV-to-ground model is extended to include the SO performance analysis of L-number of UAVs. All the analytical results for the SO statistics are confirmed by Monte-Carlo simulations.
dc.description.sponsorship We acknowledge the support of Indian Institute of Technology Indore, India, National Institute of Technology Jamshedpur, Jharkhand, India, Faculty of Mathematics and Sciences, University of Pristina, Serbia and University Carlos III of Madrid, Spain. C. Stefanovic would like to acknowledge CONEX-Plus project. The CONEX-Plus has received research funding from UC3M and the European Union's Horizon 2020 programme under the Marie Sklodowska-Curie grant agreement No 801538.
dc.format.extent 11
dc.language.iso eng
dc.publisher IEEE
dc.rights This work is licensed under a Creative Commons Attribution 4.0 License.
dc.rights Atribución 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/
dc.subject.other 5G communications
dc.subject.other Average fade duration (AFD)
dc.subject.other Composite fading channels
dc.subject.other Level crossing rate (LCR)
dc.subject.other Unmanned aerial vehicle (UAV)
dc.title On second-order statistics of the composite channel models for UAV-to-ground communications with UAV selection
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/OJCOMS.2021.3064873
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/801538-CONEX-Plus
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 534
dc.identifier.publicationlastpage 544
dc.identifier.publicationtitle IEEE open journal of the communications society
dc.identifier.publicationvolume 2
dc.identifier.uxxi AR/0000027459
dc.contributor.funder European Commission
dc.contributor.funder Universidad Carlos III de Madrid
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