Paper Info
Title
Stochastic geometry modeling and analysis 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 (femto-macro network) to model the outage probability at any arbitrary secondary (femto) and primary (macro) user. A system model based on stochastic geometry (utilizing the spatial Poisson point process (PPP) theory) is applied to model the random locations and network topology of both secondary and primary users. A considerable performance improvement can be generally achieved by mitigating interference in result of applying the CR idea over the above model. Novel closed-form expressions are derived for the downlink outage probability of any typical femto and macro user considering the Rayleigh fading for the desired and interfering links. We also study some important design factors which their role and importance in the determination of outage and interference cannot be ignored. We conduct simulations to validate our analytical results and evaluate the proposed schemes in terms of outage probability for different values of signal-to-interference-plus-noise ratio (SINR) target.
Year
DOI
Venue
2015
10.1186/s13638-015-0363-9
EURASIP Journal on Wireless Communications and Networking
Keywords
Field
DocType
Heterogeneous cellular network, Cognitive radio, Outage probability
Stochastic geometry,Femto-,Rayleigh fading,Computer science,Computer network,Network topology,Cellular network,Poisson point process,System model,Cognitive radio
Journal
Volume
Issue
ISSN
2015
1
1687-1499
Citations 
PageRank 
References 
7
0.46
33
Authors
2
Name
Order
Citations
PageRank
Fereidoun H. Panahi1225.12
Tomoaki Ohtsuki2182.34