A Secondary User Selection Method, Medium and Equipment for a Cooperative Spectrum Sensing Network

Abstract

The invention discloses a secondary user selection method, medium and equipment in a collaborative spectrum sensing network. The secondary user in the collaborative spectrum sensing network uses an energy detector to detect the received signal; uses the detected energy to calculate the secondary user The signal-to-noise ratio of the primary user; the correlation function between the secondary users is obtained by modeling the correlation between the secondary users; and then the correlation degree between any two secondary users is obtained, and the correlation degree between the two secondary users is greater than the threshold If it is set to 1, it means there is a correlation, and if the correlation degree between two secondary users is less than the threshold, it is set to 0, which represents no correlation, and the matrix of the correlation function is obtained, and the correlation function between any two secondary users represents their Whether there is a degree of correlation; bring the matrix of the correlation function into the improved DSCN algorithm, use the improved DSCN algorithm to select the secondary users participating in the final fusion, and complete the user selection. The invention has the advantages of high efficiency, reduced communication overhead, low required cost and good detection effect.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a method, medium and equipment for selecting a secondary user in a collaborative spectrum sensing network. Background technique [0002] The multi-node coordinated spectrum sensing technology (CSS) utilizes the spatial diversity formed by sensing nodes in different geographical locations in the cognitive radio network to fuse the detection results of different secondary users to obtain the final judgment result. At present, most of the researches on cooperative spectrum sensing focus on the detection data fusion algorithm. The use of cooperative spectrum sensing technology greatly improves the global detection performance, solves the problem of low single-node detection performance, and also solves the problem of hidden terminals. [0003] However, the number and distribution of secondary users place great constraints on existing collaborative spectrum ...

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Problems solved by technology

[0003] However, the number and distribution of secondary users place great limitations on existing collaborative spectrum sensing techniques

Too many secondary users participating in the fusion will cause excessive communication overhead and consume energy

And due to the shadow effect and multipath attenuation, the concentration of a large number of secondary users in a small area to participate in the fusion will also lead to a decrease in detection effect

Therefore, in practical applications, when the number and distribution of secondary users are not ideal, it is difficult for the current collaborative spectrum sensing technology to maintain a high detection effect

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