Energy Efficiency Optimization of Cognitive Radio Networks with Continuous Spectrum Sensing

For the energy-constrained cognitive networks, it is particularly important to improve their energy efficiency (EE). We focus on the EE optimization of the continuous spectrum sensing (CSS). The EE of the secondary user (SU) networks is derived. To maximize the EE, an optimization problem is formulated under the constraints of sensing performance. After some theoretical analyses, the detailed processes are given to obtain the optimal solution. We investigate the variation of EE with some important parameters, and numerical results show that the optimization scheme greatly improves EE of cognitive radio (CR) networks.