A Browsing Business Perception Analysis Method

Abstract

A browsing service perception analysis method belongs to the field of mobile communications, and solves how to effectively use massive user browsing service perception data collected from a terminal side to analyze and locate and demarcate the reasons for users' poor browsing service perception at the network level, In this way, it provides reference and basis for optimizing network-related parameters, algorithms, protocols, etc. to enhance the carrying capacity of mobile networks for browsing services, and then improve users' perception of browsing services. The terminal data collected from the actual mobile network (the 3G network of several prefectural and municipal telecommunication companies) analyzed the reasons for the poor perceived quality of the browsing service, and found that the DNS resolution time of a certain network was too high, and the time for the first packet of Sina.com was too high. These problems have been confirmed by the optimization department of China Telecom and corresponding network adjustments have been made (optimizing DNS servers, adding local Sina CDN servers, etc.). Subsequent tests have also verified that the problems have been resolved and the indicators have been improved.

Description

technical field [0001] The invention belongs to the field of mobile communication. Background technique [0002] Compared with the lower service quality (long delay, low reliability) of the Internet, carrier-class network service is a competitive advantage that telecom operators are proud of. In order to maintain its advantages, great efforts have always been devoted to the evaluation and optimization of network quality , but this has led to rigid thinking, that is, always looking at problems from the perspective of the network, focusing on network quality and ignoring user experience. In recent years, it has been strongly challenged by the OTT business (good business experience) of the Internet camp, and its market share has been gradually lost, and it is in danger of becoming a pipeline. It is imminent to change the network quality evaluation and optimization methods. [0003] The traditional network evaluation and optimization methods of operators mainly use drive test ...

AI Technical Summary

Problems solved by technology

[0008] (1) It is difficult to effectively reproduce non-fixed problems, and it is difficult to find perception degradation problems caused by non-wireless network factors

At present, the main method is to conduct a large number of DT / CQT dialing tests at the problem location where the user complains. On the one hand, the network-related parameters of the location are collected. Due to the variability of network signals and network user loads, many network quality problems often occur irregularly and are difficult to reproduce

There is no good way except for a lot of dialing and testing to try to reproduce

[0009] (2) It consumes a lot of manpower and time cost

[0011] (1) The cost of DPI deployment and operation is huge, and it cannot be carried out in areas without DPI systems;

[0012] (2) It is impossible to accurately collect and compare end-to-end delay-like perception information, and it is impossible to collect business perception information without network interaction

Therefore, it is impossible to effectively analyze and locate the perceived deterioration caused by such factors

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