Energy efficiency analysis for cognitive radio network with data collision

Abstract

In the practical application of cognitive radio network, it is especially important to improve the energy efficiency for those energy-constrained cognitive users. From the perspective of maximizing the energy efficiency in cognitive radio networks, this paper considers the case that the sudden appearance of the primary user can lead to data collision when the cognitive user is transmitting data. Then the optimization mathematical model of energy efficiency is given by using frame period and sensing time. The optimization problem is analyzed theoretically and verified by computer simulations. The theoretical analysis and computer simulation results show that the energy efficiency firstly increases and then decreases with the increase of the sensing time as well as the frame period, and there is an optimal combination of optimal sensing time and frame period to maximize the energy efficiency.