Proposed Base-Station Location Optimization with Genetic Algorithm Scheme for Lte Network Radio Planning

Abstract

Long-term evolution (LTE) is used widely in inefficient network technologies which serve billions of users. These technologies have the following features like higher bandwidth, high spectrum efficiency and less latency. This paper proposes minimizing the cost of a cellular network, which usually includes the optimum selection and base-station locations that meet certain capacity and coverage constraints. In the LTE wireless network framework, coverage and capacity planning are interrelated in terms of interference. Moreover, the ever-increasing capacity demand for non-uniformly distributed users makes base station location optimization an important action. This paper adopts one type of improvement, which is a genetic algorithm-based methodology that optimally performs the task of base-stations location by minimizing the cost of the network while fulfilling the coverage and capacity criteria planning by using ATDI ICS TELECOM. Reducing 19.95% of the overlap of the area will result in good coverage of the proposed GA thus, improving efficiency of the network.