Two-Dimensional Drone Base Station Placement in Cellular Networks Using MINLP Model

Utilization of drones is going to become predominated in cellular networks as aerial base stations in order to temporary cover areas where stationary base stations cannot serve the users. Detecting optimal location and efficient number of drone-Base Stations (DBSs) are the targets we tackle in this...

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Main Authors: Mina Taghavi, Jamshid Abouei
Format: Article
Language:English
Published: Polish Academy of Sciences 2019-11-01
Series:International Journal of Electronics and Telecommunications
Subjects:
Online Access:https://journals.pan.pl/Content/113731/PDF/93.pdf
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author Mina Taghavi
Jamshid Abouei
author_facet Mina Taghavi
Jamshid Abouei
author_sort Mina Taghavi
collection DOAJ
description Utilization of drones is going to become predominated in cellular networks as aerial base stations in order to temporary cover areas where stationary base stations cannot serve the users. Detecting optimal location and efficient number of drone-Base Stations (DBSs) are the targets we tackle in this paper. Toward this goal, we first model the problem using mixed integer non-linear programming. The output of the proposed method is the number and the optimal location of DBSs in a two-dimension area, and the object is to maximize the number of covered users. In the second step, since the proposed method is not solvable using conventional methods, we use a proposed method to solve the optimization problem. Simulation results illustrate that the proposed method has achieved its goals.
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spelling doaj.art-b0b5e7b7f25c4f6f80815ef16c3da6e62022-12-22T02:49:12ZengPolish Academy of SciencesInternational Journal of Electronics and Telecommunications2081-84912300-19332019-11-01vol. 65No 4701706https://doi.org/10.24425/ijet.2019.130252Two-Dimensional Drone Base Station Placement in Cellular Networks Using MINLP ModelMina TaghaviJamshid AboueiUtilization of drones is going to become predominated in cellular networks as aerial base stations in order to temporary cover areas where stationary base stations cannot serve the users. Detecting optimal location and efficient number of drone-Base Stations (DBSs) are the targets we tackle in this paper. Toward this goal, we first model the problem using mixed integer non-linear programming. The output of the proposed method is the number and the optimal location of DBSs in a two-dimension area, and the object is to maximize the number of covered users. In the second step, since the proposed method is not solvable using conventional methods, we use a proposed method to solve the optimization problem. Simulation results illustrate that the proposed method has achieved its goals.https://journals.pan.pl/Content/113731/PDF/93.pdf5g cellular networksdrone base stationsmobile base stationsnode placement
spellingShingle Mina Taghavi
Jamshid Abouei
Two-Dimensional Drone Base Station Placement in Cellular Networks Using MINLP Model
International Journal of Electronics and Telecommunications
5g cellular networks
drone base stations
mobile base stations
node placement
title Two-Dimensional Drone Base Station Placement in Cellular Networks Using MINLP Model
title_full Two-Dimensional Drone Base Station Placement in Cellular Networks Using MINLP Model
title_fullStr Two-Dimensional Drone Base Station Placement in Cellular Networks Using MINLP Model
title_full_unstemmed Two-Dimensional Drone Base Station Placement in Cellular Networks Using MINLP Model
title_short Two-Dimensional Drone Base Station Placement in Cellular Networks Using MINLP Model
title_sort two dimensional drone base station placement in cellular networks using minlp model
topic 5g cellular networks
drone base stations
mobile base stations
node placement
url https://journals.pan.pl/Content/113731/PDF/93.pdf
work_keys_str_mv AT minataghavi twodimensionaldronebasestationplacementincellularnetworksusingminlpmodel
AT jamshidabouei twodimensionaldronebasestationplacementincellularnetworksusingminlpmodel