Title
Stochastic Geometry Analysis of Inversely Proportional Carrier Sense Threshold and Transmission Power for WLAN Spatial Reuse
Abstract
In this paper, a stochasic geometry analysis of the inversely proportional setting (IPS) of carrier sense threshold (CST) and transmission power for densely deployed wireless local area networks (WLANs) is presented. In densely deployed WLANs, CST adjustment is a crucial technology to enhance spatial reuse, but it can starve surrounding transmitters due to an asymmetric carrier sensing relationship. In order for the carrier sensing relationship to be symmetric, the IPS of the CST and transmission power is a promising approach, i.e., each transmitter jointly adjusts its CST and transmission power in order for their product to be equal to those of others. This setting is used for spatial reuse in IEEE 802.11ax. By assuming that the set of potential transmitters follows a Poisson point process, the impact of the IPS on throughput is formulated based on stochastic geometry in two scenarios: an adjustment at a single transmitter and an identical adjustment at all transmitters. The asymptotic expression of the throughput in dense WLANs is derived and an explicit solution of the optimal CST is achieved as a function of the number of neighboring potential transmitters and signal-to-interference power ratio using approximations. This solution was confirmed through numerical results, where the explicit solution achieved throughput penalties of less than 8% relative to the numerically evaluated optimal solution.
Year
DOI
Venue
2021
10.1587/transcom.2020EBT0009
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
DocType
Volume
IEEE 802.11ax, spatial reuse, carrier sense threshold, stochastic geometry
Journal
E104B
Issue
ISSN
Citations 
10
0916-8516
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Koji Yamamoto113545.58
Takayuki Nishio210638.21
Masahiro Morikura318463.42
Hirantha Abeysekera424.41