Stochastic Analysis of 802.11 Uplink with Dynamic Sensitivity Control

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.

[1]  Holger Paul Keeler,et al.  Using Poisson processes to model lattice cellular networks , 2013, 2013 Proceedings IEEE INFOCOM.

[2]  Jeffrey G. Andrews,et al.  Analytical Modeling of Uplink Cellular Networks , 2012, IEEE Transactions on Wireless Communications.

[3]  Ekram Hossain,et al.  On Stochastic Geometry Modeling of Cellular Uplink Transmission With Truncated Channel Inversion Power Control , 2014, IEEE Transactions on Wireless Communications.

[4]  Michele Garetto,et al.  New Directions into the Stochastic Geometry Analysis of Dense CSMA Networks , 2014, IEEE Transactions on Mobile Computing.

[5]  Martin Haenggi,et al.  Spatial Stochastic Models and Metrics for the Structure of Base Stations in Cellular Networks , 2013, IEEE Transactions on Wireless Communications.