# Research on Location Selection Model of 5G Micro Base Station Based on Smart Street Lighting System
## 1 Introduction  
The 5G network is the fifth-generation technology standard for broadband cellular networks. It is meant to deliver higher multi-Gbps peak data speeds [1] and has the advantages of high data flow and transmission rate, as shown in Figure 1. Fifth-generation network with ultra-reliable and low-latency communication (URLLC) has markedly promoted the construction process of the urban Internet of Things [2, 3]. It has opened new application cases such as automatic driving [4] and remote surgery [5]. On the other hand, the 5G network has the limitations of poor signal penetration and small coverage radius [6, 7], and the deployment of 5G networks in most cities has not been completed yet. Therefore, it has become the trend of smart city construction and development to accelerate the large-scale deployment of 5G base stations and take overall consideration of the site requirements of 5G base stations [8, 9]. The 5G micro base station has the characteristics of small size and simple layout, which can be combined with the macro base station to achieve urban dense network coverage and effectively solve the blind spots and weaknesses of 5G network signals [10]. The coverage of 5G micro base stations is only 100 m, 1/3 of that of macro base stations [11]. For high traffic density and peak rate communications, many 5G micro base stations are required to complete denser network coverage, intensifying the demand for urban site resources. As a homogeneous urban infrastructure, light poles have the characteristics of high density, large number, and wide distribution [12]. The average poledistance is 30 m, which can be used as the access point of 5G micro base station equipment and solve the location selection difficulties caused by the increase in the number of 5G micro base stations. In addition, in the construction and operation of smart cities, collecting essential data on urban infrastructure through intelligent information sensing terminals with dense distribution and rich functions can promote intelligent decision-making and rapid response of the urban brain. However, the demand for massive equipment for sensing terminals increases the pressure on location resource allocation [13; 14]. As an indispensable public carrier for urban lighting, light poles can also provide rich site resources for deploying dense sensor networks and infrastructure construction [15; 16]. Therefore, building a smart street lighting system with a variety of sensor devices can alleviate the shortage of site resources and facilitate the development of intelligent cities [17; 18]. In the blueprints of many cities, modular, standardized, and diversified smart street lighting systems have become a significant link to promote the intelligent interconnection of cities [19]. Currently, the device selection in the smart street lighting system is purely based on the function superposition of the physical level [20]. Infrastructures such as base stations, light poles, and cameras are all defined as independent system equipment without considering the practical application of each subsystem. To meet the needs for large-scale construction of 5G micro base stations in smart cities and to realize the synergistic effect between the equipment installed in smart street lighting, this study focused on the location selection of 5G micro base stations and proposed a location selection model of 5G micro base station based on smart street lighting system by sorting out the correlation between the subsystems. Based on the two objectives of rational utilization of site resources and synergistic effect of mounted equipment, a universal location selection index at the system level was formulated. A location selection objective function based on the principles of priority coverage demand, low economic cost, and high system integration was established to realize the intelligent linkage between the 5G micro base stations and mounted equipment and save equipment operation and maintenance costs.