Resource Allocation Method for Cognitive Wireless Networks Based on Signal Modulation Recognition

Abstract

The invention discloses a cognitive wireless network resource allocation method based on signal modulation identification, which mainly solves the low accuracy and applicable scenarios of the classification methods for inter-class and intra-class classification methods of primary user signal modulation modes of cognitive wireless networks in the prior art The shortcoming of being too limited overcomes the shortcoming that the existing spectrum allocation technology pays more attention to the demand of the service quality of the cognitive node, which causes insufficient consideration of the demand of the cognitive node. The main steps of the present invention are: 1. Detecting the spectrum; 2. Setting the detection confidence threshold; 3. Judging whether the primary user channel state is idle; 4. Obtaining modulation information; 5. Reporting information; 6. Spectrum fusion; 7. Spectrum resource allocation. The present invention can dynamically adjust the corresponding parameters of the trust system according to the requirements of the communication environment, especially the modulation information parameters, thereby making the allocation and use of spectrum resources of the cognitive wireless network more flexible and efficient.

Description

technical field [0001] The present invention belongs to the technical field of communication, and further relates to a cognitive wireless network resource allocation method based on signal modulation identification in the technical field of cognitive wireless network. The present invention can dynamically adjust the corresponding parameters of the trust system, especially the modulation parameters according to the requirements of the communication environment, thereby making the allocation and use of spectrum resources of the cognitive wireless network more flexible and efficient. Background technique [0002] Cognitive Radio (CR for short) is a promising technology to solve the increasingly scarce spectrum problem. Automatic identification of digital modulation mode is an intermediate step in signal reception and demodulation. Cognitive wireless network system plays a leading role. In non-cooperative and dynamic communication environment, it plays an important role in preve...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that although this method proposes a modulation signal classification method in cognitive networks, it does not fully consider the number of signal modulation types in actual communication scenarios.

The shortcomings of this method are: although this method proposes a resource allocation scheme in cognitive networks that considers different needs of cognitive users, it only proposes the user's QoS requirements, and does not fully consider the user signal to treat the access channel. The requirements of the modulation method, the resource allocation method is not considered perfect

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