Neural network based optimal placement of base stations

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dc.contributor.authorWaqas Tariq Toor
dc.date.accessioned2013-10-10T12:05:09Z
dc.date.available2013-10-10T12:05:09Z
dc.date.issued2010
dc.descriptionProject Advisor: Abdul Aziz Bhattien_US
dc.description.abstractNeural network has been used as an optimization tool in the past to solve various problems. In this research work, it is used to solve the problem of placing base stations in a given area in optimal way. Wireless communication has a great impact on our daily life and requires its working parameters to be optimum. These parameters include coverage area, hand off rates, number of calls per cell etc. All these and other parameters need to be optimally designed for a communication system to work optimally. Coverage area and interference are the two main parameters that are affected by the placement of base stations. If the base stations are placed very far from each other beyond their covering ranges, lot of spaces will be left with no coverage. On the other hand if they are placed very close to each other, interference will be the result. So the base stations need to be placed in optimum way. Placing the base stations requires work force which performs drive test to decide whether to place base station in a particular region or not. With our solution it only requires a computer to find the optimum placement of base stations. Given an area, our proposed methodology places the base stations in optimum way in that area. Neural network is used as a tool to find the solution to this problem.en_US
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/780
dc.language.isoenen_US
dc.publisherUniversity of Management and Technologyen_US
dc.subjectMS Thesisen_US
dc.subjectNeural Networken_US
dc.subjectWireless Communicationen_US
dc.subjectOptimumen_US
dc.titleNeural network based optimal placement of base stationsen_US
dc.titleNeural network based optimal placement of base stationsen_us
dc.typeThesisen_US
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