On the positioning likelihood of UAVs in 5G networks; Physical Communication; Vol. 31

On the positioning likelihood of UAVs in 5G networks; Physical Communication; Vol. 31

Λεπτομέρειες βιβλιογραφικής εγγραφής
Parent link:Physical Communication
Vol. 31.— 2018.— [P. 1-9]
Κύριος συγγραφέας: Dzhayakodi Arachshiladzh D. N. K. Dushanta Nalin Kumara
Συγγραφή απο Οργανισμό/Αρχή: Томский политехнический университет Институт кибернетики, ИК
Άλλοι συγγραφείς: Sharma V. Vishal, Srinivasan K. Kathiravan
Περίληψη:An increment in the number of User Equipment (UE) demands network replanning or introducing incipient devices which can provide dynamic support to the subsisting networks. One of these devices can be the Unmanned Aerial Vehicles (UAVs). However, being prodigiously dynamic and autonomous in some scenarios, these vehicles require an efficient mechanism for their deployment in currently operating wireless networks. In this paper, an efficient approach is proposed which utilizes the properties of the self-healing neural model and the concept of matrix-coloring in order to maximize the UAVs positioning likelihood for optimized throughput coverage and maximum UE to UAV mapping. The efficacy of the proposed approach is demonstrated in terms of amelioration in the throughput coverage and mapping of the UAV to subdivisions at low consumption of energy and memory by using numerical simulations.
Режим доступа: по договору с организацией-держателем ресурса
Γλώσσα:Αγγλικά
Έκδοση: 2018
Θέματα:
труды учёных ТПУ
электронный ресурс
positioning
uavs
throughput
5G
hetnets
network likelihood
пропускная способность
пропускная способность сети
Διαθέσιμο Online:https://doi.org/10.1016/j.phycom.2018.08.010
Μορφή: Ηλεκτρονική πηγή Κεφάλαιο βιβλίου
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=660491

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