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 …
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 …
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 …
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 …
A survey on 5G Network Slicing-Epitome and opportunities for a novice
Efficient bandwidth utilization is an unsolved challenge in wireless domain because of its
varying characteristics. From a decade telecom industries are heading towards a new …
varying characteristics. From a decade telecom industries are heading towards a new …
Admission control for 5G core network slicing based on deep reinforcement learning
WF Villota-Jacome, OMC Rendon… - IEEE Systems …, 2022 - ieeexplore.ieee.org
Network slicing is a promising technology for providing customized logical and virtualized
networks for the fifth-generation (5G) use-cases (enhanced mobile broadband, ultrareliable …
networks for the fifth-generation (5G) use-cases (enhanced mobile broadband, ultrareliable …
When network slicing meets deep reinforcement learning
5G will serve various new use cases that have diverse requirements of multiple resources,
eg, radio, transportation, and computing. Network slicing is a promising technology to slice …
eg, radio, transportation, and computing. Network slicing is a promising technology to slice …
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 …
SDN/NFV, machine learning, and big data driven network slicing for 5G
5G networks are expected to be able to satisfy a variety of vertical services for mobile users,
business demands, and automotive industry. Network slicing is a promising technology for …
business demands, and automotive industry. Network slicing is a promising technology for …
Evaluating nfv-enabled network slicing for 5g core
CW Liao, FJ Lin, Y Sato - 2020 21st Asia-Pacific Network …, 2020 - ieeexplore.ieee.org
Network slicing enables a single physical network be sliced into multiple virtual networks.
Each is customized and optimized according to specific 5G services and business goals. It …
Each is customized and optimized according to specific 5G services and business goals. It …