Energy efficient techniques with sensing time optimization in cognitive radio networks

The cooperative spectrum sensing techniques in cognitive radio networks increase the energy consumption while improving the throughput of the system. The energy efficient techniques with sensing time optimization are considered in this paper. The optimization model is established, in which the sensing time is to be optimized to maximize the energy efficiency. Then, the golden section search algorithm is used to get the optimal solution based on the proof that energy efficiency is a unimodal function in terms of sensing time. The initial value of the golden section search algorithm is given, and the optimal value is obtained by iteration. Simulation results show that the energy efficiency can be improved obviously by optimizing sensing time.