Paper Info
Title
Random Cognitive Radio Network Performance In Rayleigh-Lognormal Environment
Abstract
Recently, considerable research has been focused on the design of random cognitive radio networks because base stations are randomly located in modern cellular networks and also because of an anticipated shortage of spectrum. This study investigates the performance of cognitive radio networks using a stochastic geometry approach in Rayleigh-lognormal fading. We present a geometric model of cognitive radio networks where primary transmitters, primary receivers, secondary transmitters, and secondary receivers are distributed as a Poisson point process. We analytically derive the coverage probability and transmission rate of that network. Moreover, we obtain closed-form expressions of coverage probability and transmission rate. We then numerically evaluate coverage probability and transmission rate performance. It is shown that for the coverage probability and transmission rate, the results are better for lower densities of primary transmitters and secondary transmitters.
Year
Venue
Keywords
2017
2017 14TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC)
Cognitive radio network, Stochastic geometry, Poisson point process, Rayleigh-lognormal fading
Field
DocType
ISSN
Stochastic geometry,Radio resource management,Computer science,Fading,Co-channel interference,Computer network,Poisson point process,Stochastic geometry models of wireless networks,Coverage probability,Cognitive radio
Conference
2331-9852
Citations 
PageRank 
References 
3
0.39
16
Authors
2
Name
Order
Citations
PageRank
S. R. Sabuj1244.84
Masanori Hamamura28613.37