Call Failure Prediction in IP Multimedia Subsystem (IMS) Networks

被引:3
|
作者
Bahaa, Amr [1 ]
Shehata, Mohamed [1 ]
Gasser, Safa M. [1 ]
El-Mahallawy, Mohamed S. [1 ]
机构
[1] Arab Acad Sci Technol & Maritime Transport, Dept Elect & Commun Engn, Cairo 11799, Egypt
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 16期
关键词
IMS; SIP; 5G network; call failures; machine learning;
D O I
10.3390/app12168378
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
An explosion of traffic volume is the main driver behind launching various 5G services. The 5G network will utilize the IP Multimedia Subsystems (IMS) as a core network, same as in 4G networks. Thus, ensuring a high level of survivability and efficient failure management in the IMS is crucial before launching 5G services. We introduce a new methodology based on machine learning to predict the call failures occurring inside the IMS network using the traces for the Session Initiation Protocol (SIP) communication. Predicting that the call will fail enables the operator to prevent the failure by redirecting the call to another radio access technique by initiating the Circuit Switching fallback (CS-fallback) through a 380 SIP error response sent to the handset. The advantage of the model is not limited to call failure prediction, but also to know the root causes behind the failure; more specifically, the multi-factorial root is caused by using machine learning, which cannot be obtained using the traditional method (manual tracking of the traces). We built eight different machine learning models using four different classifiers (decision tree, naive Bayes, K-Nearest Neighbor (KNN), and Support Vector Machine (SVM)) and two different feature selection methods (Filter and Wrapper). Finally, we compare the different models and use the one with the highest prediction accuracy to obtain the root causes beyond the call failures. The results demonstrate that using SVM classifier with Wrapper feature selection method conducts the highest prediction accuracy, reaching 97.5%.
引用
下载
收藏
页数:17
相关论文
共 50 条
  • [1] The IP Multimedia Subsystem (IMS)
    Sharma, Ramdev
    IETE TECHNICAL REVIEW, 2006, 23 (04) : 241 - 245
  • [2] ENHANCED IP MULTIMEDIA SUBSYSTEM (IMS) FOR FUTURISTIC TACTICAL NETWORKS
    Wang, Sherry
    Zheng, Harold
    2008 IEEE MILITARY COMMUNICATIONS CONFERENCE: MILCOM 2008, VOLS 1-7, 2008, : 1954 - 1960
  • [3] Detecting flooding attacks against IP Multimedia Subsystem (IMS) networks
    Rebahi, Yacine
    Sher, Muhammad
    Magedanz, Thomas
    2008 IEEE/ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS, VOLS 1-3, 2008, : 848 - 851
  • [4] A traffic model for the IP multimedia subsystem (IMS)
    Abhayawardhana, V. S.
    Babbage, R.
    2007 IEEE 65TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-6, 2007, : 783 - 787
  • [6] IP Multimedia Subsystem (IMS) Security: A Review and Testbed Implementation
    Fox, Michael
    Hammad, Eman
    Magnussen, Walt
    2023 IEEE FUTURE NETWORKS WORLD FORUM, FNWF, 2024,
  • [7] Introducing the GBA Covert Channel in IP Multimedia Subsystem (IMS)
    Ebrahimpour, Ghader
    Khorsandi, Siavash
    Piroozi, Ali
    COMPUTER NETWORKS AND DISTRIBUTED SYSTEMS, CNDS 2013, 2014, 428 : 13 - 22
  • [8] IP multimedia subsystem converged call control services
    Chen, Sheng
    Li, Xiangyang
    Cai, Yigang
    BELL LABS TECHNICAL JOURNAL, 2007, 12 (01) : 145 - 160
  • [9] A Survey on Media Independent Handover (MIH) and IP Multimedia Subsystem (IMS) in Heterogeneous Wireless Networks
    Khattab, Omar
    Alani, Omar
    INTERNATIONAL JOURNAL OF WIRELESS INFORMATION NETWORKS, 2013, 20 (03) : 215 - 228
  • [10] SAS-IMS for Smart Mobile Security in IP Multimedia Subsystem
    Bahnasse, Ayoub
    Talea, Mohamed
    Louhab, Fatima Ezzahraa
    Laafar, Sara
    Harbi, Adel
    Khiat, Azeddine
    2017 INTERNATIONAL CONFERENCE ON SMART DIGITAL ENVIRONMENT (ICSDE'17), 2017, : 35 - 41