Wireless network mass data storing method

Abstract

The invention relates to a wireless network mass data storage method which comprises: each network element data server, according to the preset integration strategy, processes the original data captured from the corresponding network element and stores the data, and reduces the data to the secondary data under the premise of guaranteeing the necessary analytic information; each network element data server, according to the preset data acquisition strategy, centralizes the data required for the statistics in a data server from the secondary data stored therein, and sends the data to a centralized data server for storage via the network. The method constructs the hierarchical data storage, and according to the service rule and analysis requirement, extracts the mass original data at different hierarchies on the premise of guaranteeing the necessary analytic information, to form the hierarchical data. Additionally, the method can prolong the storage period of secondary data hierarchy by reducing the storage period of the original data, that is, the method can meet not only the requirement of original data query but also the statistical requirement for routine maintenance and centralized control, and provide strong support for the field network maintenance and optimization.

Description

technical field [0001] The invention relates to communication network management, in particular to a wireless network mass data storage method. Background technique [0002] CDMA wireless network management is mainly to manage, plan and optimize the entire network by analyzing and comparing network element data collected in the system. It is the main means for maintenance personnel to monitor network operation status and improve network operation performance, which is embodied in the following aspects: [0003] 1. Service quality monitoring: including service access capability, service reliability, and service retention. Service access capability data include: mobile phone registration and paging, network access capability, call setup time, etc. Service reliability data include: call clarity, interference, etc. The service maintenance data include factors such as: the mobile phone cannot reach the target channel during switching, the call termination caused by equipment f...

AI Technical Summary

Problems solved by technology

[0008] 1. The efficiency of data analysis is very low. It takes 30 minutes or longer to collect a comprehensive report, which cannot meet the requirements of daily operation and maintenance;

[0009] 2. The efficiency of data collection is very low. Before new data is stored in the database, historical data needs to be checked. The time for data storage is very long. When the system load is heavy, normal storage cannot be completed;

[0010] 3. It is impossible to effectively monitor the performance of the entire network in real time. A centralized data server usually needs to manage 10 to 40 base station controllers, and the data volume will be as high as 120G to 480G. It is difficult to effectively analyze these data with conventional processing methods;

[0011] The above situation will seriously affect the daily network maintenance and optimization work, making the wireless network maintenance and optimization unable to adapt to the situation and unable to meet the increasingly complex and changeable market demand

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