Neural network based optimal placement of base stations in three dimensional plane

dc.contributor.authorWaqas Tariq Toor
dc.contributor.authorAbdul Aziz Bhatti
dc.date.accessioned2012-12-05T13:25:25Z
dc.date.available2012-12-05T13:25:25Z
dc.date.issued2012
dc.description.abstractThe paper proposes a solution to the problem of optimal placement of base stations, with effective utilization of resources. First, it analyzes the placement of base stations in x-y plane. Then this analysis is extended to 3-dimenional system, by including the z coordinate for representing height. This analysis optimizing these xy coordinate values as well as value of z coordinate, as height also contributes in covering the area of base stations. The Hopfield neural network model is used to find the solution to our problem.. Neural network and all parameters, i.e. x, y and z coordinates are used to maximize the coverage area and to minimize the interference, as optimal placement of base stations refer to these two points. In wireless communication system, the placement of base stations requires work force and costly equipments like GPS etc. resulting in loss of time and money. However, with proposed strategy only a laptop or desktop PC will be required to compute the positions of base stations within very less time. The energy equations are developed for our network which shows that the solution resulting from these equations is stable. The computer simulations and graphs are also included to validate the results.en_US
dc.identifier.citationPaper presented at International Conference on Wireless Communication in Unusual and Confined Areas (ICWCUCA), 2012, Franceen_US
dc.identifier.isbn978-1-4673-1291-2
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/650
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectElectrical Engineeringen_US
dc.subjectInterferenceen_US
dc.subjectCoverage Areaen_US
dc.subjectEnergy Equationen_US
dc.titleNeural network based optimal placement of base stations in three dimensional planeen_US
dc.typeConference Paperen_US
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