Stochastic Analysis of 802.11 Uplink with Dynamic Sensitivity Control
Zhenzhe Zhong, Fengming Cao · 2016
An analytic model on dynamic sensitivity control (DSC) for 802.11 infrastructure up-link communication is proposed in this paper. The stochastic geometry approach is used where the locations of stations (STAs) and access points (APs) are modelled with two Poisson point processes (PPP) with density lambda-µ and lambda-µ a respectively. Using the amended Martern hard-core thinning and proposed approximation, we are able to calculate the transmission probability, successful reception probability and throughput in both spatial average and spatial distribution manner. The derived expressions can be useful insights on parameter optimization for the next generation of 802.11 standard to improve the performance by maximizing the benefits gained from DSC.