Machine Learning Methods for Slice Admission in 5G Networks
Muhammad Rehan Raza, Carlos Natalino, Lena Wosinska, Paolo Monti · 2019
The paper discusses how the slice admission problem can be aided by machine learning strategies. Results show that both supervised and reinforcement learning might lead to profit maximization while containing losses due to performance degradation.