Machine Learning Methods for Slice Admission in 5G Networks
Paper in proceeding, 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.
virtualization
Data analytics for network control and management in optical core/data center networks
design
slice
control and management
Optical core/metro/data-center network architecture
Author
Muhammad Rehan Raza
Royal Institute of Technology (KTH)
Carlos Natalino Da Silva
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Lena Wosinska
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Paolo Monti
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019
9784885523212 (ISBN)
2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC)
Fukuoka, ,
Fukuoka, ,
Areas of Advance
Information and Communication Technology
Subject Categories
Telecommunications
DOI
10.23919/PS.2019.8817990