Please use this identifier to cite or link to this item:
Title: Bayesian spectrum sensing for digitally modulated primary signals in cognitive radio
Authors: Zheng, S.
Kam, P.-Y. 
Liang, Y.-C.
Zeng, Y.
Issue Date: 2011
Citation: Zheng, S.,Kam, P.-Y.,Liang, Y.-C.,Zeng, Y. (2011). Bayesian spectrum sensing for digitally modulated primary signals in cognitive radio. IEEE Vehicular Technology Conference : -. ScholarBank@NUS Repository.
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. © 2011 IEEE.
Source Title: IEEE Vehicular Technology Conference
ISBN: 9781424483310
ISSN: 15502252
DOI: 10.1109/VETECS.2011.5956482
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Apr 20, 2019

Page view(s)

checked on Apr 21, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.