Energy efficiency analysis of cognitive radio network using stochastic geometry

We investigate the energy efficiency with the relation of area spectral efficiency of a cognitive radio network using stochastic geometry approach. Network coverage probabilities are derived for the interference of cognitive transmitters and primary transmitters, with consideration of two important parameters: probability of ideal channel and probability of transmission schedule. Furthermore, we formulate the energy efficiency of this network for both perfect and imperfect detection of primary users and cognitive users. For this energy efficiency analysis, a constant base station power consumption model is used, and network power consumption is taken into account. The probabilities of ideal channel and transmission schedule are crucial parameters which affect both coverage probability and energy efficiency. Simulation results demonstrate that higher probabilities of ideal channel and transmission schedule are significantly more energy efficient than lower probabilities.