Research Article
Research on Location Selection of Mobile Communication Weak Coverage Network Based on Hierarchical K-means Clustering Algorithm
@ARTICLE{10.4108/eetel.v8i3.3319, author={Yuan Huang and Zezhong Huang and Shijun Liu and Liying Lan}, title={Research on Location Selection of Mobile Communication Weak Coverage Network Based on Hierarchical K-means Clustering Algorithm}, journal={EAI Endorsed Transactions on e-Learning}, volume={8}, number={3}, publisher={EAI}, journal_a={EL}, year={2023}, month={6}, keywords={Network site planning, Weak coverage, k − means clustering, Dynamic Cluster Analysis Algorithm}, doi={10.4108/eetel.v8i3.3319} }- Yuan Huang
Zezhong Huang
Shijun Liu
Liying Lan
Year: 2023
Research on Location Selection of Mobile Communication Weak Coverage Network Based on Hierarchical K-means Clustering Algorithm
EL
EAI
DOI: 10.4108/eetel.v8i3.3319
Abstract
At present, the problem of weak coverage of mobile communication still exists. Firstly, this thesis determines the scale of the base station and the location of the network with the hierarchical clustering algorithm. Secondly, this thesis also determines the base station coverage with the sector area of the Archimedes screw, the location of the weak coverage point with the discriminative model of weak coverage point, and the angle of the sector with the coverage model of gradient descent method. Finally, this thesis provides better solutions to the weak coverage problem with the propagation model of cluster analysis, and optimizes the site selection with the correction model of the propagation pass loss. Within the certain cost, we aim to increase the volume of coverage business, decrease the time complexity of the model, and improve the efficiency of the site selection.
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