MAC protocol identification method based on convolutional neural network

Abstract

The invention discloses an MAC protocol identification method based on a convolutional neural network, and the method comprises the following steps: (1) generating training data: firstly obtaining labeled original sampling data, the data form being a time-power value sequence, and then converting the original sampling data into a time-frequency graph; (2) convolutional neural network training: inputting the generated time-frequency graph into a convolutional neural network for training to obtain a trained convolutional neural network model; and (3) MAC protocol identification: carrying out data acquisition on a signal of a network to be identified, converting the signal into a time-frequency graph, and inputting the time-frequency graph into the trained convolutional neural network model to realize protocol identification. According to the method, the original communication data of the communication network is converted into the time-frequency graph by adopting a graphical recognition thought, and the time-frequency graph is classified by utilizing the convolutional neural network, so that the MAC protocol type of the target network is recognized.

Description

technical field [0001] The invention relates to the technical field of non-cooperative communication networks, in particular to a convolutional neural network-based MAC protocol identification method. Background technique [0002] In a wireless communication network, a medium access control (MAC) protocol mainly solves the problem of how to allocate and divide channel resources when multiple nodes in the network share the same link. Different types of communication networks use different MAC protocols, and the identification of MAC protocols is of great significance for obtaining communication rules, estimating access parameters in spectrum hole mode, and changing cognitive radio access mechanisms. Specifically, in the field of cognitive radio, after cognitive users identify the MAC protocol type of the primary user network, they can obtain access parameters in the spectrum hole mode, such as duration, and then adaptively adjust their own access parameters to improve spectru...

AI Technical Summary

Problems solved by technology

[0003] At present, most of the research on MAC protocol identification adopts the support vector machine method in machine learning. The identification performance of this method is greatly affected by the traffic load. When the traffic load is low, it cannot achieve a high protocol identification accuracy.

In addition, the feature extraction of the protocol requires manual operation, which requires strong professional skills and consumes a lot of work.

Images