In view of the current lack of research on VoLTE video

the consistency of perception and indicators

an application and algorithm based on multi-tenant VoLTE quality assessment is proposed. Using the data and EPC data of the VoLTE signaling plane and the media plane

the Docker uses the multi-tenant container deployment technology to process and fill the original data

encode the original data

create a temporary table on the hive

and use the ETL data warehouse technology to perform data storage. According to the function of measurement resources

it is innovatively combined with the neural network HTM algorithm to monitor the realization of VoLTE indicators. The GBDT algorithm is used to calculate and predict the Vtmos score to evaluate the video quality. This model proposes a new evaluation and monitoring method for VoLTE user video service perception

which promotes the improvement of VoLTE video quality.