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• W2894957636 abstract "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." @default.
• W2894957636 created "2018-10-12" @default.
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• W2894957636 date "2018-12-01" @default.
• W2894957636 modified "2023-10-18" @default.
• W2894957636 title "Analysis of high-traffic cognitive radio network with imperfect spectrum monitoring technique" @default.
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• W2894957636 doi "https://doi.org/10.1016/j.comnet.2018.10.002" @default.
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