Mobile communication network user perception initiative optimized analysis method based on abnormal cell

A technology of mobile communication network and analysis method, which is applied in the field of active optimization and analysis of user perception of mobile communication network, and can solve problems such as not being suitable for intensive work of network optimization and unable to meet the requirements of user perception

Inactive Publication Date: 2016-04-20
ANHUI TELECOMM ENG
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Problems solved by technology

This method is a passive problem-solving optimization method, which can no longer meet the current user perception requirements
[0004] The traditional mobile network index analysis uses the professional network management of the main equipment manufacturer to assist the comprehensive network management to carry out index analysis, resulting in many Excel macros, self-written small programs and scripts created by network optimization personnel, which are no longer suitable for the current network. Optimizing the needs of intensive work

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  • Mobile communication network user perception initiative optimized analysis method based on abnormal cell

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Embodiment Construction

[0017] A preferred embodiment of the present invention will be described in detail below.

[0018] The present invention realizes the intensive automatic monitoring of the wireless network performance from the microscopic level, utilizes the innovative "double queue, three threshold" analysis rules to automatically output the fan-level problem list, automatically dispatch orders, and automatically verify, so as to realize the discovery of problems before users, and change Problem-solving passive optimization is preventive active optimization. Through the monitoring of key KPI indicators sensitive to user perception, the wireless network optimization and optimization can be changed from focusing on network indicators to focusing on user perception.

[0019] Through the standardization of monitoring indicators, statistical differences among equipment manufacturers are shielded, and intensive provincial-level abnormal cell monitoring is used to change the situation of individual ...

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Abstract

The invention provides a mobile communication network user perception initiative optimized analysis method based on an abnormal cell. Intensive and automatic monitoring of wireless network performance is achieved from the micro level, an innovative two-queue and three-threshold analysis rule is utilized for automatically outputting carrier fan-class issue lists, automatically sending orders and achieving automatic verification, the problem is found before a user, the problem solving type passive optimization is changed into prevention type initiative optimization, and wireless network optimization converts from network index attention to user perception attention through monitoring of key KPI indexes sensitive to user perception.

Description

technical field [0001] The invention relates to the technical field of mobile communication wireless network optimization, in particular to an active optimization analysis method for mobile communication network user perception based on abnormal cells. Background technique [0002] In recent years, the mobile services of the three major domestic telecom operators have achieved rapid development. China Telecom’s CDMA wireless network has undergone large-scale network construction and continuous wireless network optimization, and the key KPI indicators of the entire network based on the macro level have been significantly improved. However, There are still network problems in local areas that need to be discovered and resolved urgently. [0003] Traditional mobile network index analysis usually adopts macro index trend analysis and network element TopN analysis methods. Through the change of network-wide indicators at the macro level, trend degradation or sudden changes a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/02
CPCH04W24/02
Inventor 刘通邢常乐袁亘
Owner ANHUI TELECOMM ENG
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