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Base station flow prediction method based on echo state network

A technology of echo state network and flow prediction, applied in electrical components, wireless communication, etc., to achieve the effect of improving memory ability and good spatial structure

Inactive Publication Date: 2018-11-27
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, most of the current research models focus on how to predict large-scale daily stable base station traffic

Method used

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  • Base station flow prediction method based on echo state network
  • Base station flow prediction method based on echo state network
  • Base station flow prediction method based on echo state network

Examples

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Embodiment Construction

[0065] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0066] Such as figure 1 with 2 As shown, the present invention is based on the base station traffic prediction method of echo state network, and this method comprises the following steps:

[0067] Step 1: Collect traffic data from wired network base stations, and perform data preprocessing to generate standardized data

[0068] (1-1) Collect flow data from the wired network base station, and record the flow data every 15 minutes;

[0069] (1-2) Data cleaning, cleaning data records containing missing values, abnormal values ​​and repeated values ​​in the collected flow data;

[0070] (1-3) Normalized data, since traffic data is recorded every 15 minutes, there will be missing records in the t...

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Abstract

The invention discloses a base station flow prediction method based on an echo state network. The method comprises following steps of step 1: acquiring flow data from a wired network base station, carrying out data preprocessing and generating normalized sample data; step 2: initializing states of a reservation pool through the normalized sample data and generating the reservation pool; step 3: combining the reservation pool and the normalized sample data, carrying out weight initialization, determining weight distribution intervals and training an echo state network model; and step 4: testingthe trained echo state network. The method is advantageous in that accuracy of base station flow prediction can be effectively improved; based on the uncertainty and complexity of the base station flows, by use of the echo state network, relations between base station flow data can be well excavated; and accuracy of the base station flow prediction can be improved to a certain degree.

Description

technical field [0001] The invention relates to the technical field of data mining and data analysis of base station traffic data, in particular to a base station traffic prediction method based on an echo state network. Background technique [0002] In the M-ICT era, with the continuous integration of IT and CT, Internetization has achieved great success. With the important labels of "service everywhere" and "experience first", the Internet in the M-ICT era not only acts as a network intermediary for information, but also integrates with various traditional industries, giving full play to its role in the allocation of social resources. Optimization and integration functions. Integrating the innovative achievements of the Internet into various fields of economy and society can enhance the innovation power of the whole society and form a wider economic development form of "Internet +" with the Internet as the economic infrastructure and realization tool. [0003] As an infr...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/02H04W24/06
CPCH04W24/02H04W24/06
Inventor 魏昕段齐包秋霞高赟
Owner NANJING UNIV OF POSTS & TELECOMM
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