Title :
Periodic Spectrum Sensing Performance and Requirements for Detecting Legacy Users with Temporal and Noise Statistics in Cognitive Radios
Author :
Kandeepan, Sithamparanathan ; Giorgetti, Andrea ; Chiani, Marco
Author_Institution :
Broadband & Wireless Group, Create-Net Int. Res. Center, Trento, Italy
fDate :
Nov. 30 2009-Dec. 4 2009
Abstract :
In this paper we consider the spectrum sensing performance and requirements for detecting legacy users (LU) in cognitive radios (CR) with periodic scanning. The performance and requirements are studied based on the temporal spectral occupancy statistics of the LU and the sensing signal to noise ratio levels in order to achieve a certain level of detection probability. We model the temporal statistics of the LU as a Poisson Pareto burst process (PPBP) describing a typical WEB service application and the noise as an additive white Gaussian noise (AWGN) process. Theoretical expressions are computed for the detection probabilities, for energy based detection, and we derive expressions for the sensing time requirements to successfully detect the LU based on the temporal and the noise statistics for a given detection criteria.
Keywords :
AWGN; Pareto distribution; Poisson distribution; Web services; cognitive radio; signal detection; Poisson Pareto burst process; Web service application; additive white Gaussian noise; cognitive radio; legacy user detection; noise statistics; periodic scanning; periodic spectrum sensing; temporal spectral occupancy statistics; AWGN; Additive white noise; Chromium; Cognitive radio; Gaussian noise; Pareto analysis; Probability; Signal to noise ratio; Statistics; Web services;
Conference_Titel :
GLOBECOM Workshops, 2009 IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-5626-0
Electronic_ISBN :
978-1-4244-5625-3
DOI :
10.1109/GLOCOMW.2009.5360766
