Energy saving strategy in cognitive networks based on software defined radio

Abstract

In order to improve the spectrum efficiency and achieve greener communication in wireless applications, in this paper we propose a novel energy saving strategy in cognitive networks based on software defined radio. By establishing a preemptive priority queue model with single vacation, we capture the stochastic behavior of the proposed strategy. Using the method of matrix geometric solution, we derive both the average latency of secondary user packets and the energy saving rate. Finally, we provide numerical results to demonstrate the influence of the sleep timer length on the system performance, and to investigate the trade-off between different performance measures.