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.
Funder
Shanghai Science and Technology Planning Project
Subject
General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)
Cited by
4 articles.
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1. Sensing Architecture in Smart City: A Review Paper;2023 10th International Conference on ICT for Smart Society (ICISS);2023-09-06
2. Performance Analysis of 5G Network Slicing for Hospital of the Future;2023 IEEE 13th Symposium on Computer Applications & Industrial Electronics (ISCAIE);2023-05-20
3. Site planning for 5G communication base stations based on the idea of binary mask;Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022);2023-02-02
4. Smart City: The Different Uses of IoT Sensors;Journal of Sensor and Actuator Networks;2022-09-22