Research on Communication Site Planning and Regional Clustering Based on Optimal Multivariate Optimization Model

Yanliang Chen; Haoyan Pei; Yan Pei; Tongyan Li

doi:10.54097/hset.v4i.924

Authors

Yanliang Chen
Haoyan Pei
Yan Pei
Tongyan Li

DOI:

https://doi.org/10.54097/hset.v4i.924

Keywords:

Optimal multivariate model, simulated annealing algorithm, immune genetic algorithm, K-means clustering algorithm, DBSCAN density clustering algorithm class algorithm

Abstract

In recent years, in the context of the continuous development of 5G networks, the construction of mobile communication mobile base stations is extremely important for the overall network environment construction in my country. The sites in the objective function are planned multiple times through the immune genetic algorithm, and finally the optimal site is re-planned and the weak coverage points are clustered.

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