Article Contents
Article Contents

# An imperfect sensing-based channel reservation strategy in CRNs and its performance evaluation

• *Corresponding author: Shunfu Jin
• Channel reservation strategy in CRNs is an effective technology for conserving communication resources. In this paper, using the imperfect sensing of secondary user (SU) packets, and considering the patience degree of SU packets, we propose a channel reservation strategy in a CRN. Aligned with the proposed channel reservation strategy, we establish a continuous-time Markov chain model to capture the stochastic behavior of the two types of user packets. Then, in order to obtain the steady-state probability distribution for the system model, we present a new algorithm for solving the quasi-birth-and-death (QBD) process. At last, based on the energy detection method, we evaluate the system performance in terms of the throughput of SU packets, the average latency of SU packets, the switching rate of SU packets and the channel utilization in relation to the energy detection threshold and the number of reserved channels.

Mathematics Subject Classification: Primary: 60K25, 90B22; Secondary: 68M20, 68M10.

 Citation:

• Figure 1.  The transmission process of the user packets in the system

Figure 2.  Throughput $\rho_{su}$ of SU packets vs. the energy detection threshold $\tau$

Figure 3.  Average latency $\beta_{su}$ of SU packets vs. the energy detection threshold $\tau$

Figure 4.  Switching rate $\omega_{su}$ of SU packets vs. the energy detection threshold $\tau$

Figure 5.  Channel utilization $\sigma$ vs. the energy detection threshold $\tau$

Figure 6.  Throughput $\rho_{su}$ of SU packets vs. the number $N$ of reserved channels

Figure 7.  Average latency $\beta_{su}$ of SU packets vs. the number $N$ of reserved channels

Figure 8.  Switching rate $\omega_{su}$ of SU packets vs. the number $N$ of reserved channels

Figure 9.  Channel utilization $\sigma$ vs. the number $N$ of reserved channels

Figures(9)