Performance analysis of sequential energy detection in cognitive radios

To reduce the spectrum sensing slot duration,sequential energy detection in cognitive radios was seen as a relatively lower complexity spectrum of sensing technology under the constraint that the primary users were sufficiently protected.Based on likelihood ratio analysis of sequential energy signal sequence,the authors theorized that false probability and signal noise ratio have an impact on the average sampling number of sequential energy detection.The mathematical model of optimal throughput for cognitive radios was established,and it was deduced by the concave function optimization theory.It was concluded that there is an optimal system parameter value to cause the maximum throughput of the cognitive users,and this conclusion was confirmed by simulations.