Mobile network user perception analysis system and method based on big data

A mobile network and analysis system technology, which is applied in the field of mobile network user perception analysis system, can solve problems such as limitation of presentation mode, lack of redevelopment conditions, single function of XNOWServer, etc., and meet the requirements of reducing computing power, reducing economic benefits, and improving The effect on processing performance

Active Publication Date: 2015-07-29
中国联合网络通信有限公司成都市分公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008]1) XNOW Server is only a stand-alone software product with a single function, and does not meet the conditions for large-scale services
[0009]2) XNOW Server analysis results are all in file format, which is not easy to query and use, and users do not have the conditions for redevelopment after purchase
[0010]3) XNOW Server can only serve network optimization work due to the limitation of presentation mode
[0011]4) XNOW Server does not have the ability to provide customized development requirements based on actual needs, such as pushing different content according to different user groups

Method used

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  • Mobile network user perception analysis system and method based on big data
  • Mobile network user perception analysis system and method based on big data
  • Mobile network user perception analysis system and method based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] A mobile network user perception analysis system based on big data, characterized in that it includes a collection layer, a data sharing layer and an application layer,

[0064] The collection layer includes an intelligent collection module, which is used to collect the signaling and message flow of the current RNC generated by the GPEH platform from the OSS according to the set frequency;

[0065] The data sharing layer includes a data sharing module, which is used to process the signaling and message flow obtained from the collection layer module and provide it to the customer-aware multi-dimensional data module;

[0066] The application layer includes a customer-aware multidimensional data module and a network real-time monitoring module. The customer-aware multidimensional data module is used to model customer perception and provide a multi-dimensional perception model for customers; the network real-time monitoring module obtains from the customer-aware multidimensi...

Embodiment 2

[0098] This embodiment describes the system in the present invention in detail in conjunction with the accompanying drawings:

[0099] In the process of using the WCDMA network, the user accesses from a wireless network, and the signaling flow passes through the wireless network to the core network, and then to the peer core network, wireless network, and end users.

[0100] Such as figure 1 As shown, in the whole process, each signaling flow and event message flow is segmented, and there are a large number of signaling logs and event logs in each link, and these logs are encapsulated in accordance with the interface protocol specification.

[0101] The GPEH platform is collecting the signaling of the whole process and increasing the user's process node judgment. Can output include: node internal events, RNC inter-node signaling events, intelligent events, etc.;

[0102] Node internal events record information generated by RNC and NodeB internal processors, such as capacity ...

Embodiment 3

[0116] The present embodiment describes the method in the present invention in detail in conjunction with the accompanying drawings:

[0117] The method comprises the steps of:

[0118] Step A, the intelligent collection step, dynamically recognizes from an OSS variable-length file list, and collects all GPEH message files in each cycle without repeating;

[0119] Step B, the protocol detection step, from the obtained message file, perform rough decoding according to the definition of the protocol stack, and identify the current protocol version;

[0120] Step C, rough decoding and message flow sorting step, performs rough decoding on the identified current protocol version, extracts message flow from the rough decoded data, and sorts according to the message flow engine;

[0121] Step D, data sharing processing step, this step automatically identifies according to the business definition and message type, calls different types of protocol processors to perform protocol proce...

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Abstract

The invention discloses a mobile network user perception analysis system and a mobile network user perception analyzing method based on big data; the system comprises a collection layer, a data sharing layer and an application layer; the collection layer comprises an intelligent collection module used for collecting a signaling and message flow of a current RNC (radio network controller) generated by a GPEH (general performance event handling) platform from an OSS (open source software) according to a preset frequentness; the data sharing layer comprises a data sharing module used for processing the signaling and message flow obtained from the module of the collection layer and then providing the flow for a customer perception multidimensional data module; the application layer comprises a customer perception multidimensional data module and a network real-time monitoring module; the customer perception multidimensional data module is used for modeling a customer perception and providing a perception model with multiple dimensions for a customer; the network real-time monitoring module obtains interface data from the customer perception multidimensional data module and carries out real-time monitoring, tracking and warning. The system and the method disclosed by the invention have the big data analysis function, thereby creating a condition for fine network planning in a global scope; a network structured analysis and a network difficult problem depth analysis can be realized.

Description

technical field [0001] The invention relates to a mobile network user perception analysis system and method based on big data, belonging to the technical field of communication. Background technique [0002] In order to implement the "Broadband China" strategy, create a high-quality broadband mobile Internet, and achieve the goals of focusing on the market, building support, generating revenue, and improving services, the network construction and maintenance department urgently needs to improve the following three aspects: [0003] 1) Provide accurate quantitative support for the improvement of user satisfaction; [0004] 2) Fully support accurate planning, save investment and promote efficiency; [0005] 3) Provide city-wide user perception active warning. [0006] In view of the above capacity building issues, the traditional network optimization mode and drive test methods can no longer reflect the real situation of the network and the real feelings of users. [0007] ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/00H04W24/02
CPCH04W16/18H04W24/00H04W24/02H04W72/542
Inventor 王政何明李骁邓辉蒋波易强鲁志强曾柏森张晶兢
Owner 中国联合网络通信有限公司成都市分公司
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