Scientific Location Of Communication Base Station Based On Improved Particle Swarm Algorithm

With the advancement of science and technology,mobile communication has been inseparable with the existence of today's life.It can be said that mobile communication is a subtle way to change people's habits of life.However,for mobile communications,the location of the base station will affect the overall service quality of service providers.In the construction of the base station,where is the best base station position,often is not directly known.Instead,we need to consider comprehensively,considering the needs of the actual site environment and service quality,and then consider the coverage,communication capacity,signal quality and cost budget evaluation.If the location of the base station is not suitable and the number is too small,it often leads to the phenomenon that the signal coverage is low and the user can not get enough signals.In the end,because of the passive choice of other operators,the operators lose customers and businesses are reduced.Too much quantity will cause the waste of cost,and the source may still repel each other,rather than improve the quality of communication scientifically.Therefore,this thesis will study the location of mobile communication base station.In this thesis,particle swarm optimization algorithm to solve the problem of mobile communication base station.In order to solve the problems in basic particle swarm optimization,the particle swarm optimization is applied to optimize the particle swarm optimization.The inertia weight,external diffusion method,internal collision method and specified coordinate method are introduced respectively.The algorithm is applied to the scientific location of mobile communication base station.The simulation results show that the optimal base station placement scheme is obtained and the following conclusions are obtained:(1)The "inertia weight" method is used in order to effectively improve the particles are no longer into the local optimization of the state;the use of "external diffusion" to quickly improve the coverage area of serious overlap,and get better coverage;Law "and" external diffusion "with the use of,in addition to solving the complex problem of the collision area,but also to the base station and the distance between the base station collision problem is more simple and easy to deal with.Finally.the "specified coordinate method" is used to adjust the position of the base station.The better the coordinate signal of the base station is,the better the base station coordinate point can be excavated to facilitate the subsequent base station position improvement.(2)Considering the population density factor,the improved PSO algorithm is used to locate the communication base station.It is found that the base station location obtained by PSO is not the same for different population densities,so the coverage is.Where,regardless of the number of iterations,compared with the coverage of the population evenly distributed,taking into account the population density distribution,the coverage of the base station signal coverage are higher.Therefore,based on the particle swarm algorithm to carry out the scientific base station location can achieve good results,so as to provide some technical support for the actual engineering staff...