A New Tractable Model for Cellular Coverage
Cellular networks are usually modeled by placing the base stations according to a regular geometry such as a grid, with the mobile users scattered around the network either as a Poisson point process (i.e. uniform distribution) or deterministically. These models have been used extensively for cellular design and analysis but suffer from being both highly idealized and not very tractable. Thus, complex simulations are used to evaluate key metrics such as coverage probability for a specified target rate (equivalently, the outage probability) or average/sum rate. The authors develop general models for multi-cell Signal-to-Noise-plus-Interference Ratio (SINR) based on homogeneous Poisson point processes and derive the coverage probability, which is one minus the outage probability.