Network quality prediction method, service adjustment method, related equipment and storage medium

Abstract

The embodiment of the invention discloses a network quality prediction method, a service adjustment method, related equipment and a storage medium, the network quality prediction method comprises thefollowing steps: obtaining the historical network quality of a to-be-predicted target geographic area in a historical time period, and the historical network quality is obtained based on report information submitted by a plurality of terminals; and calling a network quality prediction model to perform prediction processing according to the historical network quality to obtain the prediction network quality of the target geographic area in a prediction time period, the starting time of the prediction time period being later than the end time of the historical time period. According to the embodiment of the invention, the network quality prediction can be better performed, and the prediction accuracy of the network quality is improved.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a network quality prediction method, a service adjustment method, a network quality prediction device, a service adjustment device, a server, a terminal and a computer storage medium. Background technique [0002] With the development of mobile communication technology, user services have gradually shifted from traditional voice call services to multimedia data services such as video-on-demand, live video, and online games. In order to meet the increasingly rich service requirements of users, higher requirements are put forward for network quality. When there are too many network access requirements in a certain geographical area and the network load increases, it is easy to cause network congestion, which makes it impossible to meet the network needs of users to realize corresponding services. Therefore, communication operators usually predict the network quality...

AI Technical Summary

Problems solved by technology

It can be seen that the current network quality prediction method is mainly considered from the perspective of the load of the base station configured by the communication operator; , it will be impossible to predict the network quality of the network coverage blind spots existing in the target geographical area, and the prediction accuracy is low

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