Method and device for building video traffic prediction model

A traffic forecasting and video technology, applied in forecasting, transmission monitoring, electrical components, etc., can solve problems such as poor forecasting accuracy and single data source
CN107547154AActive Publication Date: 2018-01-05HUAWEI TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUAWEI TECH CO LTD
Publication Date
2018-01-05

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Abstract

The invention relates to the technical field of wireless communication, in particular to a method and device for building a video traffic prediction model. The method comprises the steps that a historical video traffic data set and at least one characteristic data set which are generated on a preset geographic area in a preset time are acquired; each piece of historical video traffic data includedin the acquired historical video traffic data set is associated with characteristic data in each characteristic data set to obtain a data set for building the video traffic prediction model; characteristic parameter screening is conducted on the data set for building the video traffic prediction model by adopting a preset characteristic selection algorithm combination to determine at least one characteristic parameter related to the video traffic; and model training is conducted by means of the data set for building the video traffic prediction model by adopting a preset model training algorithm to obtain a mapping relation between the at least one characteristic parameter related to the video traffic and the video traffic, and the video traffic prediction accuracy is improved.
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Description

technical field

[0001] The invention relates to the technical field of wireless communication, in particular to a method and device for establishing a video traffic prediction model. Background technique

[0002] Video service has become the main component of network communication, and the substantial growth of mobile data traffic is mainly driven by video service. Establishing an accurate video traffic prediction model can effectively improve the accuracy of resource capacity planning.

[0003] At present, video traffic forecasting methods are mainly aimed at realizing large-scale prediction of traffic in a single dimension. For example, video traffic forecasting models based on time series generally reflect three actual changes in video traffic: trend changes, periodic changes, and random changes. .

[0004] Specifically, see figure 1 As mentioned above, in the video traffic prediction model based on time series, the historical video traffic data is split based on the p...

Claims

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