Paper Info
Title
On stochastic geometry modeling of WLAN capacity with dynamic sensitive control
Abstract
Recently, wireless local area networks (WLANs) have become ubiquitous. In high density WLANs, interference resulting from neighbor cells is a challenging problem which would affect the network performance. To get higher throughput, it is important to improve spatial reuse of the channels. Since transmit power control (TPC) may cause asymmetric links unless carefully designed, we demonstrate that dynamic sensitive control (DSC) can be used to improve capacity in dense environment. In order to reduce the influence of inter-cell interference and achieve fairness, an adaptive DSC scheme is proposed to provide the edge users with higher clear channel assessment (CCA) threshold. The CCA adaptation strategy for access point (AP) is presented as well, and a stochastic geometry model is introduced in this paper. Coverage probability and average throughput derived based on the analytical model are used to measure the network performance. Furthermore, simulations show that the proposed DSC method can provide considerable performance improvement compared with the existing methods.
Year
DOI
Venue
2015
10.1109/WIOPT.2015.7151056
2015 13th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)
Keywords
Field
DocType
stochastic geometry model,wireless local area networks,WLAN capacity,dynamic sensitive control,spatial reuse,transmit power control,asymmetric links,intercell interference,clear channel assessment,access point,coverage probability
Radio resource management,Stochastic geometry,Wireless network,Computer science,Computer network,Signal-to-interference-plus-noise ratio,Throughput,Stochastic geometry models of wireless networks,Network performance,Distributed computing,Performance improvement
Conference
Citations 
PageRank 
References 
1
0.35
11
Authors
4
Name
Order
Citations
PageRank
Zhiwei Zhang110319.49
Yunzhou Li234536.62
Kaizhi Huang330.74
Chen Liang430.74