crossrefElectronics2025-09-27Cited by 4
Realistic Performance Assessment of Machine Learning Algorithms for 6G Network Slicing: A Dual-Methodology Approach with Explainable AI Integration
Sümeye Nur Karahan, Merve Güllü, Deniz Karhan, Sedat Çimen, Mustafa Serdar Osmanca, Necaattin Barışçı
As 6G networks become increasingly complex and heterogeneous, effective classification of network slicing is essential for optimizing resources and managing quality of service. While recent advances demonstrate high accuracy under controlled laboratory conditions, a critical gap…