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

Bibliographic Details
Parent link:Physical Communication
Vol. 31.— 2018.— [P. 1-9]
Main Author: Dzhayakodi Arachshiladzh D. N. K. Dushanta Nalin Kumara
Corporate Author: Томский политехнический университет Институт кибернетики, ИК
Other Authors: Sharma V. Vishal, Srinivasan K. Kathiravan
Summary: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
Language:English
Published: 2018
Subjects:
труды учёных ТПУ
электронный ресурс
positioning
uavs
throughput
5G
hetnets
network likelihood
пропускная способность
пропускная способность сети
Online Access:https://doi.org/10.1016/j.phycom.2018.08.010
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=660491

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