Cell network flow prediction method and device

A technology of traffic forecasting and cell network, applied in the field of communication, can solve problems such as low forecasting accuracy and weak model approximation ability, and achieve the effect of realizing resources, low complexity, flexible allocation and effective utilization

Active Publication Date: 2020-03-03
CHINA MOBILE GROUP SHANDONG +1
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Problems solved by technology

The prediction method using the BP neural network model can identify complex nonlinear systems, but the parameters in the model have great rando...

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  • Cell network flow prediction method and device
  • Cell network flow prediction method and device
  • Cell network flow prediction method and device

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Embodiment Construction

[0020] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the Some, but not all, embodiments are invented. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the embodiments of the present invention.

[0021] see figure 1 , this embodiment discloses a cell network traffic prediction method, including:

[0022] S1. Obtain the traffic data of the cell to be predicted in a period of time in history, and generate a traffic time series according to the traffic data, wherein the traffic time series includes a plurality of traffic values ​​arranged in chr...

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Abstract

The embodiment of the invention discloses a cell network flow prediction method and a cell network flow prediction device, which can improve the precision and accuracy of cell network flow prediction.The method comprises the following steps: acquiring flow data of a to-be-predicted cell within a historical period of time, and generating a flow time sequence according to the flow data; and inputting the flow time sequence into a pre-trained prediction model to obtain a flow prediction result of the to-be-predicted cell, the prediction model being a weighted combination of a singular integer autoregression moving average model, a gray prediction model and a wavelet neural network model, and the weight of the weighted combination being determined according to an artificial bee colony algorithm.

Description

technical field [0001] Embodiments of the present invention relate to the field of communication technologies, and in particular to a method and device for predicting cell network traffic. Background technique [0002] Cell traffic is an important indicator of the busyness of the cell, which refers to the sum of all data passing through the cell within a period of time. The change of the traffic in the cell shows the change of the data service used by the users in the cell, and it is positively correlated. In order to grasp the dynamic change trend of network traffic, provide a basis for abnormal traffic security monitoring, network resource allocation planning, and optimize network protocol performance, it is necessary to predict cell traffic. [0003] At present, there is a network traffic prediction method using a BP (Back Propagation, backpropagation) neural network model, which mainly includes the following steps: decomposing the original network traffic time series si...

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Application Information

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IPC IPC(8): H04W24/02H04W24/08H04L12/24
CPCH04W24/02H04W24/08H04L41/145Y02D30/70
Inventor 陈蓓蓓张涛单俊明柳兆裕杨丽郭莉王凯
Owner CHINA MOBILE GROUP SHANDONG
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