Abstract

Network planning, particularly site selection, is becoming more and more crucial as 5G and other communication technologies advance and make communication networks more complicated. Choose a certain number of sites to establish a new base station based on the current network's coverage area in order to address the issue of the network's patchy coverage. In order to solve the single objective optimization model and increase the service completion rate to 90%, genetic algorithms are used in this research. The evolutionary algorithm is still employed to solve the multi-objective programming issue and determine the base station's optimum cost in the presence of growing restrictions. The areas were clustered using the k means approach, and the time complexity was calculated.

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