Analysis of high-traffic cognitive radio network with imperfect spectrum monitoring technique

This paper introduces the concept of imperfect spectrum monitoring for realistic wireless communication environments with high-traffic cognitive radio networks (HTCRN). The effect of imperfect spectrum monitoring in the HTCRN is analyzed in terms of the probability of data-loss (in the form of packets) and interference at primary user (PU). Further, two algorithms are proposed to compute the data-loss and interference-at-PU considering different scenarios of the traffic-intensity and spectrum monitoring error. Moreover, the closed-form expressions for the ratio of achieved-throughput to the data-loss, power-wastage, interference-efficiency as well as energy-efficiency are derived, and numerically simulated results are presented to support the proposed work. Furthermore, the randomness in emergence of PU is considered and the Monte-Carlo simulations are exploited to validate the numerically simulated results.