“…These network performance analysis tools can be broadly classified into two large groups, i.e., macroscopic analysis and microscopic analysis [2][3][4][5][6][7][8][9][10].The macroscopic analysis assumes that both user equipments (UEs) and base stations (BSs) are randomly deployed in the network, often following the homogeneous Poisson distribution, and usually try to derive the signal-to-interference-plus-noise ratio (SINR) distribution of UEs and other performance metrics such as the coverage probability and the area spectral efficiency [2,3]. The microscopic analysis is often conducted assuming that UEs are randomly placed and BSs are deterministically deployed, i.e., the BS positions are known [4][5][6][7][8][9][10].The microscopic analysis is important because it allows for a network-specific study and optimization, e.g., optimizing the parameters of UL power control [8] and performing percell loading balance in a specific SCN [9]. In contrast, the macroscopic analysis investigates network performance at a high level by averaging out all the possible BS deployments [2,3].Generally speaking, the microscopic analysis gives more targeted results for specific networks than the macroscopic analysis, while the macroscopic analysis gives a general picture of the network performance.In this paper, we focus on the microscopic analysis.…”