Title: Safety assessments of 5G antenna with angle steel reinforced transmission tower based on full-scale test and BP neural network

Authors: Weizhou Xu; Yashan Hu; Zengju An

Addresses: Economic Research Institute, Grid Jiangsu Electric Power Co., Ltd., Nanjing 210008, China ' Economic Research Institute, Grid Jiangsu Electric Power Co., Ltd., Nanjing 210008, China ' Economic Research Institute, Grid Jiangsu Electric Power Co., Ltd., Nanjing 210008, China

Abstract: Installing 5G antennas on electrical transmission towers could save cost and space, especially in urban areas. Nevertheless, the safety of the 5G shared transmission tower is rarely reported but is a concerned by engineers. This study performed full-scale experiments on the effects of 5G antennas on the transmission towers, subject to self-weight and wind loads. It revealed that the 5G antennas would not affect the mechanical behaviour of joint areas but the main steel members of transmission towers. Consequently, 5G antennas would probably impair the safety of transmission towers. The effects of 5G antennas on the natural frequency of the transmission towers are investigated by the 'soil-pile-tower-line-5G' finite element model. To facilitate the promotion and quick safety assessment of 5G shared transmission towers, a comprehensive database is constructed based on the finite element model, considering the voltage levels, tangent/tension tower, span lengths, and quantity of 5G antennas. A backpropagation (BP) neural network trained on this database achieves rapid safety evaluations with < 1% relative error for 110 kV towers, enabling engineers to assess 5G-shared towers without complex simulations.

Keywords: transmission tower; 5G; safety assessment; database; back propagation neural network.

DOI: 10.1504/IJSN.2026.153818

International Journal of Security and Networks, 2026 Vol.21 No.2, pp.107 - 118

Received: 08 May 2025
Accepted: 21 May 2025

Published online: 27 May 2026 *

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