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Joint optimization of sensing time and cooperative user in cognitive radio

We proposed a new cognitive radio (CR) model in this paper whereby CR senses the environment periodically and then forwards the sensing results one at a time and through such process CR develops an efficiency function to reflect the performance and efficiency of the proposed model. In addition we proposed a joint algorithm of sensing time and a cooperative user in order to obtain the maximal efficiency of the CR network. Results obtained from simulations process shows that the efficiency of the proposed algorithm is predominant and when SNR=0dB, it holds 0.4W more residual power than that of sensing-throughput tradeoff model. And lastly we shows that cooperative detection can improve the efficiency of the model, however the results also shows that the efficiency of the model may degrade when large numbers of cooperative CRs are involved in the process.