An Enhanced Deployment of 5G Network Using Multi Objective Genetic Algorithm

Abstract

5G is the fifth generation of wireless network technology and all the big carriers are working on building out their 5G networks. The main theme of 5G is speed, every new generation of the wireless networks are significantly faster and more capable than the previous and 5G is another step forward from 4G. 5G is built on what’s called a millimetre wave, it’s a new section of very high frequency spectrum upwards of 20 GHz all the way to near 96 GHz. The higher the frequency of any wave the lesser the range. To take advantage of 5G, you need a 5G device with appropriate antenna and a dense network of 5G base stations. This paper deals with the process of planning and deployment of 5G networks. The planning process will optimize the locations and minimize the number of base stations in a selected geographical area using a heuristic algorithm like genetic algorithm. Genetic algorithms help with efficient deployment of 5G networks by minimizing the search space for deployment of BS in area of interest. Multi Objective Genetic Algorithm (MOGA) incorporates multiple factors like cost, coverage, and interference in its fitness function in order to reach a global optimal solution for 5G deployment problem.