Title
Breaking the Area Spectral Efficiency Wall in Cognitive Underlay Networks
Abstract
In this article, we develop a comprehensive analytical framework to characterize the area spectral efficiency of a large scale Poisson cognitive underlay network. The developed framework explicitly accommodates channel, topological and medium access uncertainties. The main objective of this study is to launch a preliminary investigation into the design considerations of underlay cognitive networks. To this end, we highlight two available degrees of freedom, i.e., shaping medium access or transmit power. While from the primary user's perspective tuning either to control the interference is equivalent, the picture is different for the secondary network. We show the existence of an area spectral efficiency wall under both adaptation schemes. We also demonstrate that the adaptation of just one of these degrees of freedom does not lead to the optimal performance. But significant performance gains can be harnessed by jointly tuning both the medium access probability and the transmission power of the secondary networks. We explore several design parameters for both adaptation schemes. Finally, we extend our quest to more complex point-to-point and broadcast networks to demonstrate the superior performance of joint tuning policies.
Year
DOI
Venue
2014
10.1109/JSAC.2014.1411RP07
Selected Areas in Communications, IEEE Journal  
Keywords
Field
DocType
broadcast communication,cognitive radio,radio links,radiofrequency interference,Poisson cognitive underlay network,broadcast networks,interference,medium access probability,medium access uncertainties,point-to-point networks,secondary networks,Poisson point process,Spectral efficiency,broadcast,co-channel interference,cognitive radio,machine-to-machine,performance analysis,underlay spectrum access
Radio resource management,Broadcasting,Transmitter power output,Computer science,Communication channel,Computer network,Underlay,Interference (wave propagation),Spectral efficiency,Cognitive network
Journal
Volume
Issue
ISSN
32
11
0733-8716
Citations 
PageRank 
References 
9
0.73
14
Authors
3
Name
Order
Citations
PageRank
Syed Ali Raza Zaidi1454.77
Desmond C. McLernon216115.18
Mounir Ghogho31072113.80