Network Slicing and Traffic Classification in 5G Networks with Explainable Machine Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3242-5_42
Reference23 articles.
1. Xie F, Wei D, Wang Z (2021) Traffic analysis for 5G network slice based on machine learning. EURASIP J Wirel Commun Netw 2021(1):108
2. Zhang J, Chen X, Xiang Y, Zhou W, Wu J (2014) Robust network traffic classification. IEEE/ACM Trans Netw 23(4):1257–1270
3. Nascita A, Montieri A, Aceto G, Ciuonzo D, Persico V, Pescapé A (2023) Improving performance, reliability, and feasibility in multimodal multitask traffic classification with XAI. IEEE Trans Netw Serv Manag
4. Almutairi MS (2022) Deep learning-based solutions for 5G networks and 5G-enabled internet of Vehicles: advances, meta-data analysis, and future direction. Math Probl Eng 1–27
5. Murshed MS, Murphy C, Hou D, Khan N, Ananthanarayanan G, Hussain F (2021) Machine learning at the network edge: a survey. ACM Comput Surv (CSUR) 54(8):1–37. “Deep Learning for Network Slice Classification in 5G Networks” by M. K. D. Hossain et al. (2020)
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