Research on location planning of 5G base station based on DBSCAN clustering algorithm

In China, the coverage of 5G network is increasing rapidly, and the cost of base station construction is huge. Therefore, reasonable and efficient site planning is an extremely important task.In this paper, based on DBSCAN clustering algorithm, Python software is used to build the model, and the tra...

Full description

Saved in:
Bibliographic Details
Published in2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA) pp. 669 - 675
Main Authors Jiang, Lifan, Huang, Boyi, Chen, Lingfeng, Li, Zijia
Format Conference Proceeding
LanguageEnglish
Published IEEE 24.02.2023
Subjects
5G mobile communication
Base stations
Clustering algorithms
Costs
Data models
DBSCAN clustering algorithm
location planning
Software
Software algorithms
time complexity
traversal algorithm
Online AccessGet full text

Cover

More Information
Summary:In China, the coverage of 5G network is increasing rapidly, and the cost of base station construction is huge. Therefore, reasonable and efficient site planning is an extremely important task.In this paper, based on DBSCAN clustering algorithm, Python software is used to build the model, and the traversal algorithm is used to solve the problem, and the site selection and planning work of 5G base station is completed.In practical application, the model has strong practicability and feasibility, and has a wide range of application.
DOI:10.1109/EEBDA56825.2023.10090761