Data flow prediction device and method

Abstract

The application provides a data flow prediction device and method. The device comprises a signal acquisition module, a confirmation module, a signal processing module and a computation module. The confirmation module is used for confirming that waveforms corresponding to data flow signals have self-similarity according to the data flow signals. The signal processing module is used for decomposition and reconstruction of the waveforms by adopting a wavelet analysis technology. The confirmation module is also used for confirming at least one approximation signal and signals, of which smoothness is less than a first preset threshold value, of multiple detailed signals to be the first type of data flow signals, and confirming the signals of which smoothness is greater than or equal to the first threshold value to be the second type of data flow signals. The computation module is used for predicting the first type of data flow signals by adopting a compression perception model and predicting the second type of data flow signals by adopting a linear model so that the first type of prediction result and the second type of prediction result are synthesized. With employment of the device or the method of the application, data flow prediction precision can be enhanced.

Description

technical field [0001] The present application relates to the communication field, in particular to a device and method for predicting data traffic. Background technique [0002] With the continuous development of communication technology, the data traffic generated by communication between electronic devices such as mobile terminals is also increasing. [0003] In the prior art, in order to reasonably allocate network resources, during the process of transmitting data traffic, the amount of data to be transmitted in a future period of time is predicted based on actual data traffic information. According to the prediction results, the network resources are allocated to transmit data more efficiently. [0004] However, in the prior art, for data traffic prediction, usually a certain method is mainly used for prediction. However, this method usually only has high prediction accuracy for the data traffic generated by one or several specific types of services, while for the da...

AI Technical Summary

Problems solved by technology

However, this method usually only has high prediction accuracy for the data traffic generated by one or several specific types of services, while for the data traffic generated by other services, the prediction accuracy is often lower.

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