Flow prediction and carrier turn-off method and system based on time sequence

Abstract

The invention relates to a carrier turn-off method and system based on time sequence prediction. The flow prediction method comprises the following steps: acquiring historical data of a target base station cell, and extracting features based on a time sequence through an associated field; activating a multi-model fusion algorithm, selecting a plurality of models as a stacked first layer accordingto the extracted features to perform multi-fold cross validation, and combining output results; and based on the prediction algorithm model of the designated stacking second layer, retraining an output result after multi-fold cross validation to obtain a target prediction value and a precision index. According to the carrier turn-off method, on the basis of a flow prediction step, a specific cellbase station is enabled to carry out carrier turn-off or turn-off operation at a predicted time node by utilizing prediction data of a certain time period. The system in the scheme of the invention comprises a computing device and a module, and is used for realizing the method. According to the scheme of the invention, an accurate flow prediction result can be obtained, the energy consumption of the base station can be greatly reduced, and the operation cost of a communication system is reduced.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to a flow prediction and carrier cut-off method based on time series. The invention also relates to a system and a base station based on the method. Background technique [0002] There is an obvious tidal effect in the mobile network traffic, but most of the communication base station equipment keeps running continuously, and the energy consumption is not dynamically adjusted with the traffic volume, resulting in waste. Contents of the invention [0003] In order to solve the above technical problems, the present invention provides a technical solution based on time series traffic prediction and carrier shutdown, which not only predicts the cell traffic of the base station, but also intelligently performs carrier shutdown or shutdown operations on the base station of the target cell to It achieves the effect of saving energy without affecting network KPI and network coverage....

AI Technical Summary

Problems solved by technology

[0002]There is an obvious tidal effect in the mobile network traffic, but most of the communication base station equipmen

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