Abstract
The application requirements of 5G have reached a new height, and the location of base stations is an important factor affecting the signal. Based on factors such as base station construction cost, signal coverage, and Euclidean distance between base stations, this paper constructs a multi-objective planning and location model combined with genetic algorithm, and conducts algorithm simulation. Finally, the simulation experiment results are analyzed and it is concluded that the multi-objective 5G base station planning model combined with genetic algorithm has high coverage and feasibility in real life, and then provides a new direction for base station location selection.
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Chen, G., Wang, X., Yang, G. (2023). Research and Implementation of 5G Base Station Location Optimization Problem Based on Genetic Algorithm. In: Nakamatsu, K., Kountchev, R., Patnaik, S., Abe, J.M. (eds) Advanced Intelligent Technologies for Information and Communication. ICAIT 2022. Smart Innovation, Systems and Technologies, vol 365. Springer, Singapore. https://doi.org/10.1007/978-981-99-5203-8_33
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DOI: https://doi.org/10.1007/978-981-99-5203-8_33
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