Title :
Cooperative spectrum sensing in cognitive radio networks under Gaussian fusion channels
Author :
Xiong, Gang ; Kishore, Shalinee
Author_Institution :
Dept. of Electr. & Comput. Eng., Lehigh Univ., Bethlehem, PA
Abstract :
This paper presents cooperative spectrum sensing in cognitive radio networks under Gaussian fusion channels. The global detection performance is evaluated based on Neyman-Pearson (NP) detection and using equal gain combining (EGC) fusion rule. It is shown that, under a global signal to noise ratio (SNR) constraint, the global detection performance can be maximized by choosing an appropriate local energy threshold. Furthermore, asymptotic performance is investigated assuming large numbers of secondary users and samples used for local energy calculation.
Keywords :
Gaussian channels; cognitive radio; signal detection; spread spectrum communication; Gaussian fusion channel; asymptotic performance; cognitive radio network; cooperative spectrum sensing; signal-to-noise ratio; Cognitive radio; Detectors; Diversity reception; Fading; Random variables; Signal to noise ratio; Statistics; Testing; White spaces; Wireless sensor networks;
Conference_Titel :
Information Sciences and Systems, 2009. CISS 2009. 43rd Annual Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-2733-8
Electronic_ISBN :
978-1-4244-2734-5
DOI :
10.1109/CISS.2009.5054803
