Base Station Planning Based on Region Division and Mean Shift
In this paper, the weak signal coverage points were divided into three categories according to the number of users and traffic demand.
The actual application results show that the application effect of this method in 5G network can reach 29%, which is in the same industry leading position . The selection of base stations should comprehensively consider various indicators, such as sharing rate, planning accuracy rate, and planning depth.
Finally, the simulation experiment results are analyzed and it is concluded that the multi-objective 5G base station planning model combined with genetic algorithm has high coverage and feasibility in real life, and then provides a new direction for base station location selection.
To cover the same area as traditional cellular networks (2G, 3G, and 4G), the number of 5G base stations (BSs) could be tripled (Wang et al., 2014). Furthermore, Ge, Tu, Mao, Wang, and Han, (2016) suggested that to achieve seamless coverage services, the density of 5G BSs would reach 40-50 BSs/km 2.
Overall, the results of the sensitivity analysis and performance evaluation indicate that the optimization model that we developed in this study is a useful tool for generating alternatives for 5G cellular network planning in urban outdoor areas. Nevertheless, some limitations still exist in this study.
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