Machine Learning Methods for Slice Admission in 5G Networks
Paper in proceedings, 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.

Author

Muhammad Rehan Raza

Ericsson

Carlos Natalino Da Silva

Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks

Lena Wosinska

Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks

Paolo Monti

Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks

2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC)
Fukuoka, ,

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

DOI

10.23919/PS.2019.8817990

ISBN

9784885523212

More information

Latest update

10/14/2019