Optimizing Base Station Deployment for LTE Using Metaheuristic Algorithms

In cellular networks the primary issue in network design is Base Station Deployment. This paper proposes an unprecedented procedure for the difficulties faced in cell planning We are using metaheuristic algorithms for the 4G-LTE networks. In this proposition,we focus on satisfying coverage constraint and cell capacity constrainttogether by developing a practical optimisation problem. We begin by implementing coverage dimensioning and capacity dimensioning to calculate the amount of base stations needed in the beginning. Thereupon, we execute a Particle Swarm Optimization algorithm and Grey Wolf Optimizer to locate the optimal BS position. The base station positions fulfil the constraints in the area considered which is split into various sub areas with unique user densities. We have implemented these algorithms using Matlab software to evaluate the performance of the offered scheme.