Method and device for user perception classification based on measurement report data

Abstract

The invention discloses a user perception classification method and device based on measurement report data. The user perception classification method based on measurement report data includes: analyzing user measurement report information to form training data, and generating classification rules according to the training data; associating measurement report data with S1-MME interface data to obtain measurement report information; The quality of the report information is discriminated and classified, and a discriminant classification result of the measurement report information is generated; if the number of users whose discriminative classification results are poor in quality exceeds the first preset number, the user is marked as a potential complaint user, and an alarm is issued. According to the embodiment of the present invention, classification rules can be obtained by mathematical modeling by analyzing the measurement reports of a large number of users, so as to achieve the effect of automatically screening calls with poor quality of users, reduce manual investment, and can identify and classify continuous poor quality calls according to the classification results. User alerts.

Description

technical field [0001] The invention belongs to the technical field of wireless networks, and in particular relates to a user perception classification method, device, computer equipment and computer storage medium based on measurement report data. Background technique [0002] In related technologies, poor quality analysis generally uses a drive test (Drive Test, also called a road test) and a call quality test (Call Quality Test), and collects network-related data such as signal strength and signal quality in the test area through a dedicated test system. In the later stage, the collected data is manually replayed and analyzed to screen out poor quality problems or road sections. The related technology is mainly based on a specific range of tests, and manual screening is performed according to the result data (including tables and graphics) output by the test system. [0003] The poor quality analysis in the related art has the following disadvantages: (1) A road test or ...

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Problems solved by technology

[0003] The poor quality analysis in the related art has the following disadvantages: (1) a road test or dial-up test needs to prepare a set of test vehicles, test equipment, positioning equipment, test software and corresponding test engineers and analysis engineers, which requires a lot of manpower input.

(2) The driving test is limited to the roads that vehicles can pass, and the dialing test is also limited by manpower, so the cycle of test analysis is long and the scope is limited

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