Stochastic Geometry Based Performance Analysis Of IEEE 802.11ax Network

Dense deployment of WLANs has become an inevitable trend,in order to enhance the user experience in a dense WLAN environment,IEEE 802.11ax has emerged.It focuses on efficiency and hopes to provide higher actual network rates by more efficient use of current frequency band resources.This paper will focus on the performance of IEEE 802.11 ax network based on stochastic geometry.In view of the shortcomings of the traditional network performance analysis methods,this paper first proposes a K-floors hard core point process(KHCPP)model that can analyze the dense WLAN performance in multi-floors buildings,and further deduces the KHCPP density expression.Furthermore,the performances of two common association schemes are analyzed.On this basis,since Markov chain model for WLANs only focuses on 802.11 MAC layer performance and stochastic geometry model mainly focuses on physical layer effects,our mathematical models take both of these two layers into consideration to analyze the performance of IEEE 802.11 ax.The locations of access points(APs)and stations(STAs)are distributed according to two independent stochastic geometry models.Then,an algorithm is proposed for systematically constructing the continuous time Markov chain(CTMC)corresponding to dense WLANs with random topologies.We use a Markov chain model to analyze the throughput performance of dense WLANs based on the CTMC model.The accuracy of our mathematical models is validated by simulations.