Resource expansion planning method and system

A resource and planning technology, which is applied in the field of network traffic analysis in communication networks, can solve the problems of lack of network prediction methods and increase network equipment, etc., to achieve good user experience, ensure smooth network, and accurate network traffic prediction

Active Publication Date: 2020-06-16
ZTE CORP
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AI Technical Summary

Problems solved by technology

[0006] The purpose of the embodiment of the present invention is to provide a method and system for resource expansion planning to solve the lack of an effective network prediction method in the prior art, so that the Based on this network, predict the technical issues of re-arrangement of network equipment or increase of network equipment

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  • Resource expansion planning method and system
  • Resource expansion planning method and system

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Embodiment Construction

[0069] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0070] An embodiment of the present invention provides a method for resource expansion planning, which is applied between a base station and a core network. The implementation method includes:

[0071] Step S102. Obtain feature data that affects network traffic, and preprocess the feature data to obtain a data time series based on the base station number;

[0072] In the embodiment of the present invention, the feature data may include three aspects of...

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Abstract

The embodiment of the invention provides a resource capacity expansion planning method and system, and the method comprises the steps: obtaining feature data affecting the network flow, carrying out the preprocessing of the feature data, and obtaining a data time sequence based on a base station number; according to the data time sequence based on the base station number, carrying out specific region portraying on the base station; establishing a network prediction model according to the portrait of the specific area performed on the base station; and generating and sending prompt informationneeding capacity expansion according to the portrait and the network prediction model. According to the scheme, the network flow prediction is accurate, an operator can know whether the arrangement ofthe base stations in the target area can still meet the Internet surfing requirements of users in the area or not in time, and the network smoothness and good user experience of the users in the target area are effectively guaranteed.

Description

technical field [0001] The invention relates to the technical field of network flow analysis in communication networks, in particular to a method and system for resource expansion planning. Background technique [0002] With the development of communication technology, the communication market represented by smart terminals has shown explosive growth, especially in large-scale commercial areas, industrial areas and residential areas, and the communication volume of preset time periods has shown explosive growth. [0003] When an operator finds that base stations in a certain area can no longer meet the needs of users for the network, resulting in network congestion, it will take a long time to count historical traffic, predict future traffic, design network layout, and deploy network equipment. The network throughput based on smart devices is increasing day by day, and with the increasing number of smart terminals, the phenomenon of network congestion still exists or even be...

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Application Information

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IPC IPC(8): H04W16/18H04W16/22H04L12/24
CPCH04W16/18H04W16/22H04L41/147
Inventor 唐春叶德忠吕海兵巫忠正周亮魏昕包秋霞高赟
Owner ZTE CORP
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