Digital twin-empowered network slicing in B5G networks: Experience-driven approach
Network slicing is considered a promising networking pillar of efficient resource
management in beyond 5G (B5G) networks. However, the dynamic and complex …
management in beyond 5G (B5G) networks. However, the dynamic and complex …
A graph neural network-based digital twin for network slicing management
Network slicing has emerged as a promising networking paradigm to provide resources
tailored for Industry 4.0 and diverse services in 5G networks. However, the increased …
tailored for Industry 4.0 and diverse services in 5G networks. However, the increased …
IBNSlicing: Intent-based network slicing framework for 5G networks using deep learning
Network slicing is an important pillar of 5G networks that empowers the network operators to
provide the different quality of services (QoS) to the users. It enables network operators to …
provide the different quality of services (QoS) to the users. It enables network operators to …
Intelligent joint network slicing and routing via GCN-powered multi-task deep reinforcement learning
In 6G mobile systems, network slicing is an emerging technology to support services with
distinct requirements by dividing a common infrastructure into multiple logical networks …
distinct requirements by dividing a common infrastructure into multiple logical networks …
A sub-action aided deep reinforcement learning framework for latency-sensitive network slicing
Network slicing is a core technique of fifth-generation (5G) systems and beyond. To
maximize the number of accepted network slices with limited hardware resources, service …
maximize the number of accepted network slices with limited hardware resources, service …
GAN-based deep distributional reinforcement learning for resource management in network slicing
Network slicing is a key technology in 5G communications system, which aims to
dynamically and efficiently allocate resources for diversified services with distinct …
dynamically and efficiently allocate resources for diversified services with distinct …
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 …
DeepSlicing: Deep reinforcement learning assisted resource allocation for network slicing
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 …
support various use cases in 5G and beyond. These use cases, however, have very diverse …
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 …
CLARA: A constrained reinforcement learning based resource allocation framework for network slicing
As mobile networks proliferate, we are experiencing a strong diversification of services,
which requires greater flexibility from the existing network. Network slicing is proposed as a …
which requires greater flexibility from the existing network. Network slicing is proposed as a …