A Bandwidth Prediction Method Based on Neural Network

A prediction method and neural network technology, applied in the field of network communication, can solve problems such as long bandwidth measurement intervals, bandwidth cannot reflect the trend of bandwidth changes, etc., and achieve the effect of making up for inaccurate prediction bandwidth, reducing errors, and adjusting network strategies

Active Publication Date: 2021-05-28
NANJING UNIV +1
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AI Technical Summary

Problems solved by technology

[0005] In order to overcome the technical defects that the existing bandwidth measurement interval is long and the measured bandwidth cannot reflect the future bandwidth change trend, the present invention provides a bandwidth prediction method based on neural network

Method used

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  • A Bandwidth Prediction Method Based on Neural Network
  • A Bandwidth Prediction Method Based on Neural Network

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Embodiment Construction

[0017] The present invention will be described in further detail below in conjunction with examples. It must be pointed out that the following examples are only used to further illustrate the present invention and cannot be interpreted as limiting the protection scope of the present invention. The specific implementation of the invention with some non-essential improvements and adjustments should still belong to the protection scope of the present invention.

[0018] figure 1 A flow chart of the neural network-based bandwidth prediction method of the present invention is shown. The specific steps are as follows:

[0019] Step 1, establish a four-layer neural network model, the network structure is as follows figure 2 shown.

[0020] The first layer of network acts on the input data, uses the LSTM layer (Long-Short-Memory) to extract the features of the input time series, and stores some long-term and short-term features into the network. The length of the input time series...

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Abstract

The invention discloses a neural network-based bandwidth prediction method. The steps of the method are: (1) establish a neural network model and train it, the input of the neural network model is the bandwidth change characteristics of historical moments, and the output is the bandwidth prediction value of future moments; (2) record the real-time bandwidth data of users and follow the Time sorting; sampling the real-time bandwidth data according to the set sampling interval; (3) extracting the timing characteristics of the bandwidth; (4) inputting the timing characteristics of the bandwidth into the trained neural network model, and calculating the bandwidth quantization factor of the future moment; ( 5) Convert the calculated bandwidth quantization factor into the predicted future bandwidth. The invention proposes a method for quantitatively reflecting future network state changes, predicts future bandwidth on the basis of bandwidth measurement, makes up for the time-consuming defect of bandwidth measurement, and can effectively guide Internet applications to cope with network changes.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a network condition prediction method, in particular to a neural network-based bandwidth prediction method. Background technique [0002] With the gradual popularization of the Internet and the continuous improvement of network communication technology, users' demand for high-quality networks is increasing. Many daily Internet applications depend on the stability of bandwidth. In order to improve the user's actual experience, it is necessary to know the user's real-time available bandwidth. For example, when a user watches a video, if the available bandwidth is less than the size of video frames per second, the video will freeze and the user experience will be degraded. Developers consider bandwidth fluctuations when developing live video software, and will add video bit rate and resolution adjustment strategies to reduce bandwidth requirements and achieve smooth v...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/24H04L12/26G06N3/08
CPCG06N3/08H04L41/145H04L41/147H04L43/0894
Inventor 张旭张欣宇薛雨马展
Owner NANJING UNIV
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