Deep reinforcement learning-based network slicing for beyond 5G
With the advent of 5G era, network slicing has received a great deal of attention as a means
to support a variety of wireless services in a flexible manner. Network slicing is a technique …
to support a variety of wireless services in a flexible manner. Network slicing is a technique …
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 …
A constrained reinforcement learning based approach for network slicing
With the proliferation of mobile networks, we face strong diversification of services,
demanding the current network to embed more flexibility. To satisfy this daring need …
demanding the current network to embed more flexibility. To satisfy this daring need …
Intelligent resource scheduling for 5G radio access network slicing
It is widely acknowledged that network slicing can tackle the diverse use cases and
connectivity services of the forthcoming next-generation mobile networks (5G). Resource …
connectivity services of the forthcoming next-generation mobile networks (5G). Resource …
Deep reinforcement learning for resource management in network slicing
Network slicing is born as an emerging business to operators by allowing them to sell the
customized slices to various tenants at different prices. In order to provide better-performing …
customized slices to various tenants at different prices. In order to provide better-performing …
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 …
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 …
An end-to-end network slicing algorithm based on deep Q-learning for 5G network
T Li, X Zhu, X Liu - IEEE Access, 2020 - ieeexplore.ieee.org
As one of key technologies of the fifth-generation (5G) communication system, network
slicing can share the underlying infrastructure with different application requirements and …
slicing can share the underlying infrastructure with different application requirements and …
The LSTM-based advantage actor-critic learning for resource management in network slicing with user mobility
Network slicing aims to efficiently provision diversified services with distinct requirements
over the same physical infrastructure. Therein, in order to efficiently allocate resources …
over the same physical infrastructure. Therein, in order to efficiently allocate resources …
Intelligent radio access network slicing for service provisioning in 6G: A hierarchical deep reinforcement learning approach
Network slicing is a key paradigm in 5G and is expected to be inherited in future 6G
networks for the concurrent provisioning of diverse quality of service (QoS). Unfortunately …
networks for the concurrent provisioning of diverse quality of service (QoS). Unfortunately …
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