Stochastic Geometry Analysis of Individual Carrier Sense Threshold Adaptation in IEEE 802.11ax WLANs

This paper discusses the impact of spatial reuse and carrier sense threshold (CST) optimization on the performance of wireless local area networks using stochastic geometry analysis. The adjustment of the CST is a promising approach to improve spatial reuse, and has been proposed for the IEEE 802.11ax standard. Considering the situation where each access point (AP) individually adjusts its CST based on the individual received power, this paper derives the probability of transmission success and the density of successful transmissions (DST). The evaluation results of these metrics reveal that the optimal setting is to increase the CST linearly (in terms of dB) with respect to the average received signal power. Because the maximization of the DST causes unfairness from the viewpoint of success of transmission, the maximization of the product of the transmission success probabilities is proposed to improve the performance of the entire system and restrain unfairness. Using the trend of the optimal CST function, the impact of the density of APs on the optimal CST function is determined. Moreover, individual CST adjustment is found to improve spatial reuse compared with identical adjustment, i.e., setting the CST of all APs to an identical value.

[1]  Masahiro Morikura,et al.  Inversely Proportional Transmission Power and Carrier Sense Threshold Setting for WLANs: Experimental Evaluation of Partial Settings , 2016, 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall).

[2]  François Baccelli,et al.  Analysis of a proportionally fair and locally adaptive Spatial Aloha in Poisson Networks , 2013, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[3]  François Baccelli,et al.  Stochastic geometry and wireless networks , 2009 .

[4]  Takayuki Nishio,et al.  Attenuators enable inversely proportional transmission power and carrier sense threshold setting in WLANs , 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).

[5]  Riku Jantti,et al.  Interference control in cognitive wireless networks by tuning the carrier sensing threshold , 2013 .

[6]  François Baccelli,et al.  Stochastic Geometry and Wireless Networks, Volume 2: Applications , 2009, Found. Trends Netw..

[7]  Jeffrey G. Andrews,et al.  A Tractable Approach to Coverage and Rate in Cellular Networks , 2010, IEEE Transactions on Communications.

[8]  Konstantina Papagiannaki,et al.  Interference Mitigation Through Power Control in High Density 802.11 WLANs , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[9]  Nitin H. Vaidya,et al.  On physical carrier sensing in wireless ad hoc networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[10]  Jeffrey G. Andrews,et al.  Modeling and Analyzing the Coexistence of Wi-Fi and LTE in Unlicensed Spectrum , 2015, IEEE Transactions on Wireless Communications.

[11]  Daniel Camps-Mur,et al.  Evaluation of dynamic sensitivity control algorithm for IEEE 802.11ax , 2015, 2015 IEEE Wireless Communications and Networking Conference (WCNC).

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

[13]  Daniel Camps-Mur,et al.  Dynamic sensitivity control of access points for IEEE 802.11ax , 2016, 2016 IEEE International Conference on Communications (ICC).

[14]  Nitin H. Vaidya,et al.  Selecting transmit powers and carrier sense thresholds in CSMA protocols for wireless ad hoc networks , 2006, WICON '06.

[15]  Ekram Hossain,et al.  A Modified Hard Core Point Process for Analysis of Random CSMA Wireless Networks in General Fading Environments , 2013, IEEE Transactions on Communications.

[16]  Masahiro Morikura,et al.  Analysis of inversely proportional carrier sense threshold and transmission power setting , 2017, 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC).