Machine learning aided network slicing

M Toscano, F Grunwald, M Richart… - 2019 21st …, 2019 - ieeexplore.ieee.org
Future 5G wireless networks will need to deal with increasing heterogeneity in offered
services, performance requirements, and communication technologies. Network slicing has …

DeepSlice: A deep learning approach towards an efficient and reliable network slicing in 5G networks

A Thantharate, R Paropkari, V Walunj… - 2019 IEEE 10th …, 2019 - ieeexplore.ieee.org
Existing cellular communications and the upcoming 5G mobile network requires meeting
high-reliability standards, very low latency, higher capacity, more security, and high-speed …

Adaptive network slicing with multi-site deployment in 5G core networks

S Vittal, MK Singh, AA Franklin - 2020 6th IEEE Conference on …, 2020 - ieeexplore.ieee.org
In today's moving world to ambitious 5G, 3GPP has defined three fundamental and
promising services, namely enhanced Mobile Broadband (eMBB), ultra Reliable Low …

Two-tier resource allocation in dynamic network slicing paradigm with deep reinforcement learning

G Yang, Q Liu, X Zhou, Y Qian… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Network slicing is treated as a key technology of the rapidly developing 5G system.
Nevertheless, the environment of the users is extremely complex, leading to a great …

Machine learning for network slicing resource management: A comprehensive survey

B Han, HD Schotten - arXiv preprint arXiv:2001.07974, 2020 - arxiv.org
The emerging technology of multi-tenancy network slicing is considered as an essential
feature of 5G cellular networks. It provides network slices as a new type of public cloud …

Online based learning for predictive end-to-end network slicing in 5G networks

ELH Bouzidi, A Outtagarts, A Hebbar… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
5G networks are expected to provide a variety of services over the same physical
infrastructure equipped with a combination of radio and wired transport networks and …

GAN-based deep distributional reinforcement learning for resource management in network slicing

Y Hua, R Li, Z Zhao, H Zhang… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Network slicing is a key technology in 5G communications system, which aims to
dynamically and efficiently allocate resources for diversified services with distinct …

Applying machine learning to end-to-end slice SLA decomposition

M Iannelli, MR Rahman, N Choi… - 2020 6th IEEE …, 2020 - ieeexplore.ieee.org
5G is set to revolutionize the network service industry with unprecedented use-cases in
industrial automation, augmented reality, virtual reality and many other domains. Network …

Big data for 5G intelligent network slicing management

H Chergui, C Verikoukis - IEEE Network, 2020 - ieeexplore.ieee.org
Network slicing is a powerful tool to harness the full potential of 5G systems. It allows
verticals to own and exploit independent logical networks on top of the same physical …

DeepSlicing: Deep reinforcement learning assisted resource allocation for network slicing

Q Liu, T Han, N Zhang, Y Wang - GLOBECOM 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Network slicing enables multiple virtual networks run on the same physical infrastructure to
support various use cases in 5G and beyond. These use cases, however, have very diverse …