Spectrum sensing and data transmission tradeoff for Cognitive Radio Networks

This paper investigates the spectrum sensing and data transmission tradeoff problem for Cognitive Radio Networks (CRNs). In this paper, both the spectrum sensing time and the data transmission power are optimized. First, as the original problem is hard to analyze, an approximate problem is proposed, and it has been proved that there indeed exists an optimal scheme for such an approximate optimizing problem. Second, the unimodal characteristics of the approximate optimization goals are proved. Furthermore, an optimal golden section method based on the above characteristics is proposed to obtain the optimal tradeoff. Finally, the simulation results show that the approximate performance is close to the original one and the proposed algorithm can obtain the optimal performance.