Network link quality monitoring method and apparatus

Abstract

The invention relates to the field of mobile communication, and specifically discloses a network link quality monitoring method and apparatus. The method comprises the steps of monitoring operating state information of each device in a system, conducting statistics of channel quality associated parameters of the devices, determining links of the devices of which the channel quality associated parameters meet a preset failure condition as failed links, and recording each node that the failed links pass; then calculating the failure weight of each node that each failed link passes, the failure weight being used for indicating the credibility of the node as the failure cause in all the failed links; and finally, selecting the node with the highest failure weight for failure positioning. In this way, the invention can timely reflect network link quality degradation phenomena, and timely collect failure positioning information.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a method and device for monitoring network link quality. Background technique [0002] With the vigorous development of Internet services and data services, network quality directly affects users' service perception, especially mainstream data services are sensitive to network quality degradation such as packet loss, delay, and jitter, such as IP Multimedia Subsystem (IPMultimediaSubsystem, IMS ), Long Term Evolution (Long Term Evolution, LTE) video, etc. rely heavily on the quality of the transmission link. Therefore, in order to ensure the availability indicators of such mainstream data services, it is necessary to detect and capture the instantaneous degradation of network quality in time, and locate related faults in time, so as to deal with the faults in time and ensure the normal operation of services. [0003] In the prior art, there are following disadvantages for...

AI Technical Summary

Problems solved by technology

[0004] 1) The existing technology can only locate link faults when the transmission link is interrupted, and cannot monitor and locate link quality degradation that occurs in a short period of time

For example, when the link quality of the network link deteriorates and recovers in a very short time, the existing monitoring methods usually consider the link status to be normal. Great impact, reducing the quality of business;

[0005] 2) Lack of means to judge link quality degradation based on the entire network

Existing technical solutions can only locate the port status according to the fault phenomenon, and cannot count the link quality of the entire network (such as packet loss, retransmission, etc.)

For example, if some links are due to external reasons, rate matching, or ring network, the port status is often normal. Poor phenomenon, this kind of problem is difficult to locate the specific cause based on the existing technology;

[0006] 3) Fault linkage location is difficult

For monitoring personnel, the details of the network in the core bearer network cannot be learned in detail, and network monitoring personnel often monitor multiple systems at the same time, with a huge workload. Timely access to detailed network information at that time, especially when link quality-related alarms occur, it is difficult to locate faults, and it is impossible to quickly and accurately troubleshoot faults;

[0007] 4) Lack of visual monitoring ability

However, for large-scale networks, there are many network nodes and the links are relatively complex. It is difficult for the existing implementation schemes to intuitively present the topological links of the entire network.

[0008] To sum up, most of the network link monitoring methods in the existing technology only monitor whether the link is unblocked, and it is difficult to capture the random and instantaneous degradation of the link transmission quality in time, and cannot directly reflect the quality degradation phenomenon in real time , resulting in failure to collect fault location information in time, affecting service quality

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