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

Author

Listed:
  • 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
    Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai 201804, China)

  • Hui Xiao

    (College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China)

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.

Suggested Citation

  • Hanwei Liu & Wenchao Li & Huiling Cai & Qingcheng Lin & Xuefeng Li & Hui Xiao, 2022. "Research on Location Selection Model of 5G Micro Base Station Based on Smart Street Lighting System," Mathematics, MDPI, vol. 10(15), pages 1-15, July.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:15:p:2627-:d:873120
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    References listed on IDEAS

    as
    1. Ali Gohar & Gianfranco Nencioni, 2021. "The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System," Sustainability, MDPI, vol. 13(9), pages 1-24, May.
    2. Mohamed Hanine & Omar Boutkhoum & Fatima El Barakaz & Mohamed Lachgar & Noureddine Assad & Furqan Rustam & Imran Ashraf, 2021. "An Intuitionistic Fuzzy Approach for Smart City Development Evaluation for Developing Countries: Moroccan Context," Mathematics, MDPI, vol. 9(21), pages 1-22, October.
    3. Jiawei Yao & Yongming Zhang & Zhe Yan & Li Li, 2018. "A Group Approach of Smart Hybrid Poles with Renewable Energy, Street Lighting and EV Charging Based on DC Micro-Grid," Energies, MDPI, vol. 11(12), pages 1-17, December.
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