A collaborative spectrum sensing method based on trust value, cognitive wireless network

Abstract

The invention belongs to the technical field of wireless equipment and network communication, and discloses a collaborative spectrum sensing method based on trust value and a cognitive wireless network. The main steps include: each secondary user in the network and a fusion center perceive environmental parameters; Signal-to-noise ratio, false alarm probability, path loss, detection probability, bit average signal-to-noise ratio, one-bit error probability, probability of reporting correct sensing results; selection of trust value threshold and time window; secondary users report sensing results; calculation of secondary users Trust value; judgment of trust value; judging the difference between the number of elements of the secondary user set participating in spectrum sensing and the number of elements of the honest user set; judging the spectrum sensing result and obtaining the judgment result. The invention can detect various attacks launched by malicious users under the condition of a non-ideal public control channel, and has good robustness when the number of attackers is large, thereby ensuring the accuracy of spectrum sensing data.

Description

technical field [0001] The invention belongs to the technical field of wireless equipment and network communication, and in particular relates to a cooperative spectrum sensing method based on a trust value and a cognitive wireless network. Background technique [0002] The large-scale application of wireless devices and wireless networks makes limited spectrum resources increasingly tense, and the static spectrum allocation scheme has the problem of low utilization of spectrum resources. Cognitive radio technology is proposed to alleviate the problem of low utilization of spectrum resources and shortage of spectrum resources. contradictions between. Cognitive wireless networks allow unlicensed users to discover unused idle licensed spectrum through spectrum sensing, and perform opportunistic spectrum access to improve the utilization of spectrum resources. Spectrum sensing is a key step for unlicensed users to access spectrum. Unlicensed users report sensing data to the fu...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problem existing in the existing technology is that the existing spectrum sensing method does not consider the problem that the sensing data will be wrong during the transmission process of the common control channel, and the data difference may completely lead to the error of the entire judgment result. ; It does not consider the fact that secondary users may make mistakes when reporting sensing data through the public control channel, which increases the error detection probability and false alarm probability of the system, seriously affects the accuracy of sensing data judgment, and leads to wrong judgment results

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