Authors :
Raphaël NLEND, Emmanuel TONYE
Volume/Issue :
Volume 4 - 2019, Issue 7 - July
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://bit.ly/2OMXxvD
Abstract :
In this paper we model the problem of base
station migration as an optimization issue by the use of
particle swarm algorithm in order to minimize a target
goal which is a weighted function of network coverage,
traffic, energy consumption and the cost of
infrastructure. We then compare the results with those
obtained by applying the genetic algorithm under the
same conditions. Overall, genetic algorithms are more
efficient than particle swarms for the network
migration problem.
Keywords :
Cellular network planning, Genetic Algorithm, Particle swarm optimisation.
In this paper we model the problem of base
station migration as an optimization issue by the use of
particle swarm algorithm in order to minimize a target
goal which is a weighted function of network coverage,
traffic, energy consumption and the cost of
infrastructure. We then compare the results with those
obtained by applying the genetic algorithm under the
same conditions. Overall, genetic algorithms are more
efficient than particle swarms for the network
migration problem.
Keywords :
Cellular network planning, Genetic Algorithm, Particle swarm optimisation.
