OECC/PSC 2019
2019年7月7日〜7月11日Fukuoka International Congress Center
OECC/PSC 2019
2019年7月7日〜7月11日Fukuoka International Congress Center
[S3-3]Machine Learning Methods for Slice Admission in 5G Networks
Muhammad Rehan Raza1, Carlos Natalino2, Lena Wosinska2, 〇Paolo Monti2(1KTH Royal Institute of Technology, Sweden, 2Chalmers Univ. of Technology, Sweden)
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.