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 …
verticals to own and exploit independent logical networks on top of the same physical …
Applying machine learning to end-to-end slice SLA decomposition
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 …
industrial automation, augmented reality, virtual reality and many other domains. Network …
DeepSlice: A deep learning approach towards an efficient and reliable network slicing in 5G networks
Existing cellular communications and the upcoming 5G mobile network requires meeting
high-reliability standards, very low latency, higher capacity, more security, and high-speed …
high-reliability standards, very low latency, higher capacity, more security, and high-speed …
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 …
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 …
infrastructure equipped with a combination of radio and wired transport networks and …
AI-native network slicing for 6G networks
With the global rollout of fifth generation (5G) networks, it is necessary to look beyond 5G
and envision 6G networks. 6G networks are expected to have space-air-ground integrated …
and envision 6G networks. 6G networks are expected to have space-air-ground integrated …
Data-driven dynamic resource scheduling for network slicing: A deep reinforcement learning approach
Network slicing is designed to support a variety of emerging applications with diverse
performance and flexibility requirements, by dividing the physical network into multiple …
performance and flexibility requirements, by dividing the physical network into multiple …
Deep reinforcement learning for end-to-end network slicing: challenges and solutions
5G and beyond is expected to enable various emerging use cases with diverse performance
requirements from vertical industries. To serve these use cases cost-effectively, network …
requirements from vertical industries. To serve these use cases cost-effectively, network …
Deep reinforcement learning for resource management on network slicing: A survey
JA Hurtado Sánchez, K Casilimas… - Sensors, 2022 - mdpi.com
Network Slicing and Deep Reinforcement Learning (DRL) are vital enablers for achieving
5G and 6G networks. A 5G/6G network can comprise various network slices from unique or …
5G and 6G networks. A 5G/6G network can comprise various network slices from unique or …
Intelligent network slicing for V2X services toward 5G
Benefiting from the widely deployed LTE infrastructures, 5G wireless networks are becoming
a critical enabler for the emerging V2X communications. However, existing LTE networks …
a critical enabler for the emerging V2X communications. However, existing LTE networks …