Hareketlilik Analitiğine Aboneliği Destekleyen NWDAF Mimarisi

Yıl 2025, Cilt: 15 Sayı: 1, 382 - 391, 15.03.2025

Bahadır Yalın , Tarık Veli Mumcu

https://doi.org/10.31466/kfbd.1564838

Öz

5G Sistemi’nin standartlaştırılması ile birlikte ağda olağandışı artması beklenen veri trafiği ile, bu verilerin işlenmesi kritik bir hale gelmektedir. Bu nedenle, bu verilerden analitikler üreterek ağdaki operasyonların tamamını iyileştirebilecek bir ağ varlığına ihtiyaç duyulmaktadır. Ağ Veri Analitiği Fonksiyonu (NWDAF), bir 5G Çekirdek Ağ Fonksiyonu (5GC NF) olup, Üçüncü Nesil İşbirliği Projesi (3GPP) tarafından farklı kullanım senaryoları için istatistiksel ve/veya tahmine dayalı analitik oluşturmak amacıyla standartlaştırılmıştır. Bu analitikler, diğer Ağ Fonksiyonları (NFs) tarafından NWDAF'a abone olunarak veya NWDAF'tan talep edilerek elde edilir. Bir NF tüketicisi, NWDAF'a abone olduğunda abonelik ayrıntılarını belirterek birden fazla analitik elde edebilir. Bu nedenle, bu makale NWDAF'ın spesifikasyonlarının mevcut aşamasına odaklanarak detaylarını sunar. Mevcut spesifikasyonlar aksine, bu çalışmada yalnızca bir NWDAF’ın bulunduğu ağ senaryosu değerlendirilmiştir. Bununla birlikte, NWDAF'ın abonelik mekanizmasının, özellikle standartlaştırılmış analitiklerden biri olan Kullanıcı Ekipman Hareketliliğine odaklanılarak, nasıl kullanılabileceği de bu makalede açıklanmıştır. Son olarak, oluşturulan sisteme eklenebilecek olası geliştirmeler de sonuç kısmında tartışılmıştır.

Anahtar Kelimeler

5G Çekirdek Ağı Fonksiyonları, Servis-Temelli Mimari, Ağ Veri Analitiği Fonksiyonu, Kullanıcı Ekipman Hareketliliği

NWDAF Architecture to Support Mobility Analytics Subscription

Öz

With the standardization of 5G and unprecedented growth in the network traffic data, data processing becomes critical. Therefore, a network entity is needed that could generate analytics from this data to improve the entire operations in the network. Network Data Analytics Function (NWDAF) is a 5G Core Network Function (5GC NFs) which is standardized by Third Generation Partnership Project (3GPP) for creating either statistical or prediction-based analytics regarding different use cases. These analytics are obtained by other Network Functions (NFs) by subscribing to NWDAF or requesting from NWDAF. An NF consumer can obtain multiple analytics when it is subscribed to NWDAF with specifying the subscription details. So, this paper provides details of NWDAF focusing on the current phase of its specifications. Contrary to the existing specifications, this study evaluates a network scenario in which only a single NWDAF instance is present. With this, how the subscription mechanism of NWDAF can be used, by specifically focusing on the User Equipment (UE) Mobility use case, which is one of the standardized analytics, is also explained in this paper. Finally, possible developments that can be added to the created system are discussed in conclusion.

Anahtar Kelimeler

5G Core Network Function, Service-Based Architecture, Network Data Analytics Function, User Equipment Mobility

Kaynakça

• 3rd Generation Partnership Project (3GPP). (2024) “5g system; network data analytics services; stage 3,” Technical Specification (TS) 29.520, Version 18.5.1.
• 3rd Generation Partnership Project (3GPP). (2024), “Architecture enhancements for 5g system (5gs) to support network data analytics services,” Technical Specification (TS) 23.288, Version 18.5.0.
• 3rd Generation Partnership Project (3GPP). (2024) “Management and orchestration; 5g end to end key performance indicators (kpi),” Technical Specification (TS) 28.554, Version 19.0.0.
• 3rd Generation Partnership Project (3GPP). (2024), “System architecture for the 5g system (5gs),” Technical Specification (TS) 23.501, Version 18.5.0.
• Barriga, L., Gehrmann, C., Sternby, J., and Yuan, Y. (2022, July) Insight of Anomaly Detection with NWDAF in 5G, 2022 International Conference on Computer, Information and Telecommunication Systems (CITS), (pp. 1-6), Piraeus.
• Cha, D., Cha, I., Jung, D., Kim, T., Lee, J., and Lee, S., (2022, October) "Design and Implementation of Network Data Analytics Function in 5G," 2022 13th International Conference on Information and Communication Technology Convergence (ICTC), (pp 757-759), Jeju Island.
• Chouman, A., Manias, D. M., and Shami, A. (2022, May) "Towards Supporting Intelligence in 5G/6G Core Networks: NWDAF Implementation and Initial Analysis," 2022 International Wireless Communications and Mobile Computing (IWCMC), (pp. 324-329), Dubrovnik.
• Derehag, J., Jeong, J., Johansson, A. A., Roeland, R., Sun, G., and Umaashankar, V., "Mobility Prediction for 5G Core Networks," IEEE Communications Standards Magazine, (5)1, (pp. 56-61), doi: 10.1109/MCOMSTD.001.2000046.
• Dolente, F., Garroppo, R. G., and Pagano, M. A. (2024) Vulnerability Assessment of Open-Source Implementations of Fifth-Generation Core Network Functions. Future Internet 2024; 16(1), https://doi.org/10.3390/fi16010001
• Ericsson. Mobile Subscriptions Outlook (2024) https://www.ericsson.com/en/reports-and-papers/mobility-report/dataforecasts/mobile-subscriptions-outlook#:~:text=Global%205G%20subscriptions%20are-%20forecast%20to%20exceed%205.3%20billion%20in,Western%20Europe%20at%2085%20percent, Date Accessed: 09 October 2024.
• European Telecommunications Standards Institute (ETSI). (2012) “Network functions virtualization – introductory white paper,”.
• Gökarslan, K., Sevgican, S., Tuğcu, T., Turan, M., and Yılmaz, H. B. (2020). "Intelligent network data analytics function in 5G cellular networks using machine learning," in Journal of Communications and Networks, (22)3, 269-280, doi: 10.1109/JCN.2020.000019.
• He, X., Qian, S., Xiang, Y., and Yang, Z. (2023, September). NWDAF in 3GPP 5G Advanced: A Survey: 2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS), (pp. 756-761), Changchun
• Kao, H., Lan, C., and Wu, E. H. (2023, April). "5G Handover Analysis in Real Network," 2023 IEEE 3rd International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB), (pp. 7-11), Taichung.
• Kim, H., Lee, C., Lee, H., and Park, H. S. (2024). "Mobility Management Paradigm Shift: From Reactive to Proactive Handover Using AI/ML," IEEE Network, (38)2, (pp. 18-25), doi: 10.1109/MNET.2024.3357108.
• Quadrini, M., Roseti, C., Serranti, L., and Zampognaro F. (2023, October). "Data Collection Using NWDAF Network Function in a 5G Core Network with Real Traffic," 2023 International Symposium on Networks, Computers and Communications (ISNCC) (pp. 1-7), Doha.
• Telecommunication Engineering Centre, “Study paper on 5g core network,” https://www.tec.gov.in/public/pdf/Studypaper/5G%20Core%20Network_Study%20Paper_v8.pdf, Date Accessed: 09 October 2024