Fault Diagnosis of 5G Voice Service Based on Multi-sources data
Shiyu Zhou, Jie Miao, Xiqing Liu, Xinzhou Cheng, Zhenqiao Zhao, Xin Zhao · 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · 2021
EPS-Fallback is generally adopted for voice service in the coexistence period of 4/5G network. Its process is very complex and prone to failure. How to guarantee users perception is an important challenge. Based on multi-resources data, this paper proposes a fault diagnosis method for EPS-Fallback. It can effectively improve the fault diagnosis ability and the efficiency of network operation and maintenance. Also, it can save labor costs.