Research on Location Selection Model of 5G Micro Base Station Based on Smart Street Lighting System

Hanwei Liu, Wenchao Li, Huiling Cai, Qingcheng Lin, Xuefeng Li and Hui Xiao
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Hanwei Liu: College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
Wenchao Li: College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
Huiling Cai: College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
Qingcheng Lin: College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
Xuefeng Li: College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
Hui Xiao: College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China

Mathematics, 2022, vol. 10, issue 15, 1-15

Abstract: In order to promote the development and construction of smart cities, the massive equipment requirements of sensing terminals increased the pressure on urban site resource allocation. The light pole is suitable for carrying various urban functional equipment to form a smart street lighting system, which can provide rich site resources for the large-scale construction of urban functional facilities such as 5G micro base stations. However, the selection and combination of equipment mounted in the smart street lighting system only focus on the functional superposition at the physical level, without considering the relevance of each subsystem in practical application scenarios. Therefore, this study proposed a 5G micro base station location model based on a smart street lighting system. The correlation and cooperativity between 5G micro base stations and mounted devices were fully considered, and a universal system-level location selection index was developed to realize rational utilization of urban space site resources and intelligent linkage between subsystems. The results showed that the model is significantly effective for functional areas with different road network characteristics and provides practical, robust, effective, and accurate help for similar location selection problems.

Keywords: smart street lighting system; 5G micro base station; location selection; multi-system fusion (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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