Paper Info
Title
Spectrum Sensing Optimisation for Dynamic Primary User Signal
Abstract
We propose a multi-layer spectrum sensing optimisation algorithm to maximise sensing efficiency by computing the optimal sensing and transmission durations for a fast changing, dynamic primary user. Dynamic primary user traffic is modelled as a random process, where the primary user changes states during both the sensing period and transmission period to reflect a more realistic scenario. Furthermore, we formulate joint constraints to correctly reflect interference to the primary user and lost opportunity of the secondary user during the transmission period. Finally, we implement a novel duty cycle based detector that is optimised with respect to PU traffic to accurately detect primary user activity during the sensing period. Simulation results show that unlike currently used detection models, the proposed algorithm can jointly optimise the sensing and transmission durations to simultaneously satisfy the optimisation constraints for the considered primary user traffic.
Year
DOI
Venue
2012
10.1109/TCOMM.2012.091712.110856
IEEE Transactions on Communications
Keywords
Field
DocType
radio spectrum management,random processes,signal detection,telecommunication traffic,duty cycle based detector,dynamic primary user signal,dynamic primary user traffic,multilayer spectrum sensing optimisation,optimal sensing,optimisation constraint,random process,transmission duration,cognitive radio,energy detector,primary user duty cycle,primary user traffic,sensing efficiency,spectrum sensing,spectrum sensing optimisation,availability,detectors,interference
Detection theory,Duty cycle,Computer science,Joint constraints,Stochastic process,Electronic engineering,Interference (wave propagation),Detector,Radio spectrum management
Journal
Volume
Issue
ISSN
60
12
0090-6778
Citations 
PageRank 
References 
1
0.36
0
Authors
2
Name
Order
Citations
PageRank
Kevin Chang110.70
Bouchra Senadji218620.93