A Novel Energy Saving Strategy with N-Policy Sleep Mode in Cognitive Radio Networks

Abstract

Energy consumption is significant even when the base station is idle in traditional cognitive radio networks. Taking into account both the energy saving in the base station and the latency of the secondary user packets, we propose an energy saving strategy with N-policy sleep mode in this paper. From the perspective of an overlay structure, we establish a two-dimensional continuous-time Markov chain model to capture the stochastic behavior of the proposed strategy. The stable condition of the system is obtained accordingly. Using the method of matrix geometric solution method, we derive the performance measures, such as energy saving rate of system and average latency of secondary user packets. Moreover, we provide simulation statistics as well as analysis results to verify the effectiveness of the proposed strategy and the accuracy of the performance estimation. Finally, we present an artificial bee colony algorithm to optimize the sleep parameter in the proposed strategy.