DocumentCode :
2333016
Title :
Bayesian Spectrum Sensing for Digitally Modulated Primary Signals in Cognitive Radio
Author :
Zheng, Shoukang ; Kam, Pooi-Yuen ; Liang, Ying-Chang ; Zeng, Yonghong
Author_Institution :
Inst. for Infocomm Res., Agency for Sci., Technol. & Res. (A*STAR), Singapore, Singapore
fYear :
2011
fDate :
15-18 May 2011
Firstpage :
1
Lastpage :
5
Abstract :
Based on the high probability that primary user is idle in cognitive radio networks, we propose an optimal Bayesian detector structure for spectrum sensing. Although the optimal detector by Neyman-Pearson theorem maximizes the detection probability for a given false alarm probability, Bayesian detector can achieve a higher overall spectrum utilization and SU throughput and at the same time the primary user is well protected from secondary user´s interference. For BPSK modulated primary signals we show that the optimal Bayesian detector can be reduced to an energy detector in lower SNR regime, and it can be approximated to a detector employing the sum of received signal magnitudes in high SNR regime to detect primary signals. We give the analysis for optimal Bayesian detector and the corresponding suboptimal detector structure in both low and high SNR regimes, and verify the performance of the detector with simulation results.
Keywords :
Bayes methods; cognitive radio; interference suppression; modulation; phase shift keying; probability; radio networks; radiofrequency interference; signal detection; BPSK modulated primary signal; Bayesian spectrum sensing; Neyman-Pearson theorem; SNR regime; cognitive radio network; detection probability; digitally modulated primary signal; energy detector; false alarm probability; optimal Bayesian detector structure; primary user; received signal magnitude; secondary user interference; spectrum utilization; suboptimal detector structure; Approximation methods; Bayesian methods; Cognitive radio; Detectors; Signal to noise ratio; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd
Conference_Location :
Yokohama
ISSN :
1550-2252
Print_ISBN :
978-1-4244-8332-7
Type :
conf
DOI :
10.1109/VETECS.2011.5956482
Filename :
5956482
Link To Document :
بازگشت