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Location of 5G base station antenna in substation taking into account path loss and RF radiation

Authors :
Yushan Yao
Chanyuan Liu
Daokun Qi
Zhendong Zhu
Wenxuan Zhang
Source :
Discover Applied Sciences, Vol 6, Iss 11, Pp 1-15 (2024)
Publication Year :
2024
Publisher :
Springer, 2024.

Abstract

Abstract Aiming at the engineering problem that 5G base station antenna is difficult to locate efficiently in complex electromagnetic environment, a two-stage positioning method of 5G base station antenna substation is proposed, which considers signal path loss and antenna RF radiation. Firstly, the path loss solution model of the 5G base station antenna signal in the substation is established, and the RF radiation solution model generated by the coupling excitation of 5G high-frequency electromagnetic wave and the metal shell of the electrical equipment is constructed based on the big element physical optics method. Secondly, combining the advantages of particle swarm optimization (PSO) and interior point algorithm, the antenna positioning method considering path loss and RF radiation is constructed. Among them, in the first stage, the minimum loss of 5G signal path in the substation is taken as the goal, and the antenna stations in the substation are searched globally to get the optimal pre-selected position. In the second stage, the antenna position is calibrated according to the pre-selected position, so that the interference of RF radiation is minimized, and the final position is output. Finally, a 500 kV 5G substation in Henan Province was taken as the simulation object. Compared with the original scheme, the simulation results ensured the minimum 5G path loss in the substation and took into account the electromagnetic compatibility of the equipment in the substation. The effectiveness of the location strategy for maintaining the safe operation of the substation is verified, and it can provide a reference for the 5G base station antenna positioning project of the substation.

Details

Language :
English
ISSN :
30049261
Volume :
6
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Discover Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.0055bc24fade459098ec4ba0f87e5d36
Document Type :
article
Full Text :
https://doi.org/10.1007/s42452-024-06263-9