Neural network based optimal placement of base stations in three dimensional plane
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Date
2012
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
The 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.
Description
Keywords
Electrical Engineering, Interference, Coverage Area, Energy Equation
Citation
Paper presented at International Conference on Wireless Communication in Unusual and Confined Areas (ICWCUCA), 2012, France