Method and system for evaluating quality of deep coverage network based on user behavior characteristics

Abstract

The invention discloses a deep overlay network quality evaluation method and system based on user behavior characteristics, comprising the steps of: S1, obtaining MR data, and storing the MR data in a database; S2, extracting the MR data from the database, analyzing the original time of the MR data from an MR database, and storing the original time in the database; S3, dividing the MR data into two types according to an outdoor scene and an indoor scene; S4, selecting the user MR data having a speed rate less than a first threshold in the outdoor scene; S5, combining the user MR data having a speed rate less than a first threshold in the outdoor scene and the MR data in the indoor scene in an N*N grid; S6, setting an overlay scene for each grid in step 5; and S7, evaluating overlay network quality of each scene. The method and system overcome the deficiencies of great CQT randomness, time and energy consumption, complex equipment operation, and incapability of comprehensively reflecting network quality of traditional calling quality test.

Description

technical field [0001] The invention relates to the technical field of network coverage quality evaluation, in particular to a method and system for evaluating the quality of a deep coverage network based on user behavior characteristics. Background technique [0002] The traditional deep coverage network quality assessment method is mainly based on manual call quality test CQT. The typical model of this method is composed of testers, test computers, test software, test interrupts and GPS information collectors. It uses artificial walking to collect call or Internet signals within a certain range, and records interactive information such as artificial walking geographic trajectory, signaling information, and event information through testing software, so as to extract a random sampling sample to evaluate the overall deep coverage network quality. . Although the traditional call quality test CQT combines geographical presentation, mobile network call information, real-time s...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to overcome the deficiencies of the prior art, provide a deep coverage network quality evaluation method and system based on user behavior characteristics, and make up for the strong randomness of the traditional call quality test CQT, time-consuming and laborious, complicated equipment operation and inability to fully reflect Insufficient network quality

Images