Method and device for acquiring mobile communication data

Abstract

The invention discloses a method for acquiring mobile communication data. The method comprises the following steps that: a data analysis system acquires static user data reported by a network management system, wherein the static user data is relation information between a user ID and a name and / or shared static data; the data analysis system acquires user behavior data which is acquired and reported by a network element system; and the data analysis system performs user behavior and characteristic analysis on the data reported by the network management system and the network element system. The invention also discloses a device for acquiring the mobile communication data. The data acquisition method and the data acquisition device provided by the invention have simple data acquisition mode and safe and reliable data transmission.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a method and a device for collecting mobile communication data. Background technique [0002] With the continuous development of 3G technology, especially the continuous deployment of high-speed downlink packet access technology (HSDPA: High Speed ​​Downlink Packet Access) high-speed access products, the access bandwidth of mobile users has made a qualitative leap compared with before, and is close to fixed network access bandwidth. Improvement of user access bandwidth. The emergence of a large number of smart phones, the emergence and continuous enrichment of a large number of new applications. These have brought huge challenges to the core network of mobile operators. For example, figure 1 As shown, the usual system in the prior art includes a network management system 11, a network element system 12 and a user behavior analysis system 13, the network manag...

AI Technical Summary

Problems solved by technology

In the traditional network management system, the monitoring of network operation status mainly relies on alarm monitoring and analysis of performance reports, but these two functions reflect the network operation status based on the perspective of network element equipment, and cannot reflect the specific details of each user behavior (call behavior , Internet behavior, and malicious calls of some users), that is, it cannot reflect the network quality at the user's granularity; and the existing performance statistics are analyzed based on a certain collection cycle, and real-time monitoring of network quality cannot be achieved.

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