Paper Info
Title
Stochastic geometry based analytical modeling of cognitive heterogeneous cellular networks
Abstract
In this paper, we present a Cognitive Radio (CR) based statistical framework for a two-tier heterogeneous cellular network (macro-femto network) to model the outage probability at any arbitrary secondary user (femto user) and primary user (macro user). A system model based on stochastic geometry (utilizing the theory of a Poisson point process (PPP)) is introduced to model the random locations and topology of both primary and secondary networks (macro-femto networks). We provide an overview of how CR idea facilitates interference mitigation in two-tier heterogeneous networks in the presented model. We also study the effect of several important design factors which play vital roles and are usually ignored in determination of outage and interference. We conduct simulations to evaluate the performance of our proposed schemes in terms of outage probability for different values of signal-to-interference-plus-noise-ratio (SINR) target.
Year
DOI
Venue
2014
10.1109/ICC.2014.6884160
Communications
Keywords
Field
DocType
femtocellular radio,geometry,microcellular radio,probability,stochastic processes,Poisson point process,SINR target,cognitive heterogeneous cellular networks,femto user,macro user,macro-femto network,outage probability,primary user,secondary user,signal-to-interference-plus-noise-ratio,stochastic geometry based analytical modeling,two-tier heterogeneous cellular network,Cognitive Radio (CR),outage probability,stochastic geometry
Stochastic geometry,Computer science,Theoretical computer science,Signal-to-interference-plus-noise ratio,Cellular network,Stochastic geometry models of wireless networks,Outage probability,Cognition
Conference
ISSN
Citations 
PageRank 
1550-3607
5
0.42
References 
Authors
8
2
Name
Order
Citations
PageRank
Fereidoun H. Panahi1225.12
Tomoaki Ohtsuki2182.34