Method and apparatus for monitoring quality of service

Abstract

The invention discloses a method for monitoring quality of service. The method comprises the following steps: obtaining a service feature and a signaling feature of acurrent voice service; performingmatching search in a service feature library of an abnormal voice service based on the service feature of the current voice service; when the service feature of the current voice service matches the service feature of the abnormal voice service in the service feature library, based on the signaling feature of the current voice service, performing matching search in a signaling feature library of the abnormal voice service; when the signaling feature of the current voice service matches the signaling feature of the abnormal voice service in the signaling feature library, using a defect of quality of service corresponding to the signaling feature of the abnormal voice service matching the signaling feature of the current voice service as the defect of quality of service of the current voiceservice. Meanwhile, the invention further discloses an apparatus for monitoring quality of service

Description

technical field [0001] The invention relates to mobile communication technology, in particular to a service quality monitoring method and device. Background technique [0002] Voice over Long Term Evolution (VoLTE, Voice over Long Term Evolution) is a voice service solution based on Long Term Evolution (LTE, Long Term Evolution,) network data domain, which can provide users with voice services and video service. However, due to the complex network structure and long service process of the VoLTE network, the VoLTE service quality is not only affected by common abnormal problems such as dropped calls and unconnected calls, but also needs to pay special attention to the service experience of users in high-definition calls, such as during service use. Whether there are single-pass, short-term no sound, intermittent, stuttering, word swallowing and other problems that seriously affect user perception. Therefore, through the evaluation of service quality and analysis of abnormal...

AI Technical Summary

Problems solved by technology

[0007] The final result of the subjective questionnaire survey has a great relationship with the number and distribution of sampling samples, and is affected by factors such as local economic conditions, cultural environment, population size, etc., and cannot fully reflect the service quality of all users on the entire network; at the same time, the operation process is complex, The cost is high; it can only passively wait for users to report service quality problems and check them, but cannot proactively discover hidden dangers and locate the specific reasons for service quality impacts

[0008] Equipment performance statistics are generally based on "network", "network element", "link" and other units. It is an average summary of the network element and the performance of the area within a period of time. It cannot directly correspond to the user and cannot reflect the performance of a certain user. A certain service usage situation, such as whether the voice and image are clear and smooth; various service performance indicators for evaluating network quality are generated through device logs, network management reports, and signaling data, which cannot reflect the impact of the terminal on the user's service quality. A true measure of experience

[0009] Although the drive test method can simulate the user's business use process, due to the limitations of the test scope, test tools, test times, and operation methods, the information obtained is a certain amount of sampling values, which has certain limitations and cannot fully reflect the overall situation. The service quality of all users on the network; at the same time, this method requires special personnel and special vehicles to test, and the cost is relatively high, so it is not suitable for long-term

Images