Open AccessVoLTE problem location method based on big data
Author(s) -
Xinwei Chen,
Jun Zhou,
Keqing Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1828/1/012085
Subject(s) - computer science , key (lock) , big data , user equipment , service (business) , operator (biology) , term (time) , core (optical fiber) , data mining , real time computing , computer network , telecommunications , computer security , base station , biochemistry , chemistry , physics , economy , repressor , quantum mechanics , transcription factor , gene , economics
This paper mainly introduces the key information extracting method from User Equipment (UE) test data, the synchronous algorithm of various interfaces X Detailed Record (XDR) data, the key information filling technique of multi interfaces X Detailed Record (XDR), the analytical procedure based on big data is descript in details. An example is given to explain that more accurate reason for Voice over Long-Term Evolution (VoLTE) call not connected can be found with big data from core network, compared with UE data only. With this method VoLTE problem can be quickly solved, it is very useful for wireless operator to improve the user voice service awareness rapidly.