K-Floors HCPP Model Based Performance Analysis of Indoor Ultra-Dense WLANs

This paper analyzes the ultra-dense networks (UDNs) in a high-rise building using stochastic geometry. First, starting from a K-floors model which describes the spatial distribution of the network nodes, we propose a K-floors hard core point process (KHCPP) model to describe the spatial distribution of simultaneous transmitting nodes in a CSMA type of wireless network (i.e., K-floors UDNs). In KHCPP, the coverage ranges of (access points) APs and the carrier sense ranges of (stations) STAs are all balls with radius R. Then, the closed-form expression for density of KHCPP is obtained. Furthermore, the coverage probabilities of two common association schemes, i.e., cross-floor max-SINR association (CFMSA) scheme and single-floor max-SINR association (SFMSA) scheme, are analyzed. The accuracy of our mathematical model is validated by simulations.