Abstract:  An optimization scheme for choosing the
optimum number of secondary users in cooperative spectrum sensing
based on the cyclostationary feature detection with Neyman-Pearson
criterion is proposed in this paper. The optimal soft combination
test statistic for the cooperative spectrum sensing based on
cyclostationary feature detection is derived according to the
generalized likelihood ratio test and its corresponding detection
performance is deduced. A target function, considering two important
parameters as the resource use efficiency and the number of samples
employed by each cooperative secondary user in the system design, is
constructed to obtain the optimum number of cooperative secondary
users. It can be found that the selection scheme is to make a
tradeoff between the system complexity of the cognitive radio
network and the global sensing performance of the cooperative
spectrum sensing.

Key words:

 cognitive radio| cooperative spectrum sensing|
cyclostationary feature detection| optimum number

摘要：  An optimization scheme for choosing the
optimum number of secondary users in cooperative spectrum sensing
based on the cyclostationary feature detection with Neyman-Pearson
criterion is proposed in this paper. The optimal soft combination
test statistic for the cooperative spectrum sensing based on
cyclostationary feature detection is derived according to the
generalized likelihood ratio test and its corresponding detection
performance is deduced. A target function, considering two important
parameters as the resource use efficiency and the number of samples
employed by each cooperative secondary user in the system design, is
constructed to obtain the optimum number of cooperative secondary
users. It can be found that the selection scheme is to make a
tradeoff between the system complexity of the cognitive radio
network and the global sensing performance of the cooperative
spectrum sensing.

关键词:

 cognitive radio| cooperative spectrum sensing|
cyclostationary feature detection| optimum number