Channel Reservation Strategy with Imperfect Sensing Results

Abstract

Channel reservation strategy in Cognitive Radio Networks (CRNs) is an effective technology for conserving communication resources. Considering the imperfect sensing of Secondary User (SU) packets, and the possible patience of SU packets, in this chapter, we propose a channel reservation strategy in a CRN. Aligned with the proposed channel reservation strategy, we establish a Continuous-Time Markov Chain (CTMC) model to capture the stochastic behavior of the two types of user packets, the Primary User (PU) packets and the SU packets. Then, in order to obtain the steady-state distribution of the system model, we present a new algorithm for solving the quasi-birth-and-death (QBD) process. Moreover, we derive numerical results for the system in terms of the throughput of SU packets, the average latency of SU packets, the switching rate of SU packets and the channel utilization. Finally, we present numerical results to evaluate the performance of the system using the proposed channel reservation strategy.