Title :
On performance evaluation of cooperative spectrum sensing in cognitive radio networks
Author :
Xiong, Gang ; Kishore, Shalinee ; Yener, Aylin
Author_Institution :
Dept. of Electr. & Comput. Eng., Lehigh Univ., Bethlehem, PA, USA
Abstract :
This paper presents the system level performance evaluation for energy-detection based cooperative spectrum sensing in cognitive radio networks. Three performance criteria are quantitively analyzed for cooperative spectrum sensing. First, the average error probability is determined given fixed amplifier gains for a fixed number of secondary users by considering all possible channel realizations. Second, the asymptotic error probability is computed in a power constrained cognitive radio network when the number of secondary user approaches infinity. Third, the outage probability is examined when instantaneous error probability is greater than a predefined threshold. In all three calculations, both additive white Gaussian noise (AWGN) and Rayleigh fading assumptions are used to capture the observation and fusion channels. Numerical results indicate that in order to maintain a desired detection performance in low and moderate fusion signal to noise ratio (SNR) regimes, fusion channels need to be as reliable as possible, while local received SNRs can be dynamic and provide spatial diversity. Moreover, it is shown that under AWGN observation channels and Rayleigh fading fusion channels, a diversity order equal to the number of secondary users can be achieved.
Keywords :
AWGN; Rayleigh channels; cognitive radio; probability; AWGN; AWGN observation channels; Rayleigh fading fusion channels; additive white Gaussian noise; asymptotic error probability; average error probability; cognitive radio networks; cooperative spectrum sensing; energy detection; fixed amplifier gains; fusion signal to noise ratio; instantaneous error probability; outage probability; spatial diversity; system level performance evaluation; AWGN; Additive white noise; Cognitive radio; Computer networks; Error probability; H infinity control; Maintenance; Performance analysis; Rayleigh channels; Signal to noise ratio;
Conference_Titel :
Information Sciences and Systems (CISS), 2010 44th Annual Conference on
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-7416-5
Electronic_ISBN :
978-1-4244-7417-2
DOI :
10.1109/CISS.2010.5464933