5G network bandwidth prediction system and method based on cross-layer multi-dimensional parameters
The invention provides a 5G network bandwidth prediction system and method based on cross-layer multi-dimensional parameters. The system comprises a sending end, a prediction model and a receiving end, the sending end collects flow data of different base station service areas, classifies the flow da...
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Main Authors | , , |
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Format | Patent |
Language | Chinese English |
Published |
07.01.2022
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Subjects | |
Online Access | Get full text |
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Summary: | The invention provides a 5G network bandwidth prediction system and method based on cross-layer multi-dimensional parameters. The system comprises a sending end, a prediction model and a receiving end, the sending end collects flow data of different base station service areas, classifies the flow data, selects a group of data and sends the data to the prediction model; when the prediction model trains the neural network to carry out error gradient descent, latest error data is fed back to the sending end; the sending end performs precision analysis to determine the prediction effect of the model and the current physical layer information, and then corrects the sent data; the receiving end is provided with two data buffer areas, one data buffer area is used for storing actual flow data sent to the prediction model by the sending end, and the other data buffer area is used for storing data predicted by the prediction model; and the MSE size of the two is calculated, a corresponding r value is given according to |
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Bibliography: | Application Number: CN202111337402 |