Incremental cooperative sensing method on basis of n-out-of-K fusion rule

Abstract

The invention relates to an incremental cooperative sensing method on the basis of an n-out-of-K fusion rule. The method includes dividing K relays of a cooperative sensing system into N front relays and K-N rear relays, detecting x relays with available master users of N front time slots, adopting an incremental cooperative sensing mode if m<L> is smaller than x and the x is smaller than m<H>, and adopting a non-incremental cooperative sensing mode if the m<L> is not smaller than the x and the x is not smaller than the m<H>; determining that the master users are unavailable if the x is smaller than or equal to the m<L> when the non-incremental cooperative sensing mode is adopted, and determining that the master users are available if the x is larger than or equal to the m<H>; and detecting y relays with available master users of K-N rear time slots when the incremental cooperative sensing mode is adopted, determining that the master users are available if x+y is larger than or equal to n, and determining that the master users are unavailable if the x+y is smaller than the n. The incremental cooperative sensing method has the advantages that the non-incremental cooperative sensing mode is adopted during cooperative sensing to reduce the average expenditure on the time slots, and the sensory ability equivalent to the sensory ability of the traditional algorithm is guaranteed by optimization constraint conditions.

Description

technical field [0001] The invention relates to the field of cognitive radio cooperative spectrum sensing, in particular to an incremental cooperative sensing method based on n-out-of-K fusion rules. Background technique [0002] At present, the management system of licensed (primary) users occupying spectrum fixedly makes the use of precious spectrum resources very inefficient, and the demand for spectrum resources is becoming more and more urgent with the development of wireless communication. Since spectrum resources are limited, improving the utilization efficiency of existing spectrum resources is an effective way to solve the shortage of spectrum resources. Cognitive radio is one such technology. In order to utilize idle spectrum resources, unlicensed (secondary) users must accurately perceive spectrum holes and access them. Therefore, spectrum sensing is one of the key technologies in cognitive radio. [0003] Spectrum sensing can be divided into local sensing and c...

AI Technical Summary

Problems solved by technology

Energy detection is a typical representative of local perception. It is simple to implement and does not require prior knowledge of the main user. Its disadvantage is that the perception ability of a single node is insufficient in low signal-to-noise ratio and deep fading environments.

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