Hierarchical Intelligent Radio Access Network Slicing for Differential Service Level Agreement Guaranteeing
Network slicing (NS) can enable diverse communication services for vertical industries. In
radio access network slicing, differential service level agreement (SLA) guaranteeing is an …
radio access network slicing, differential service level agreement (SLA) guaranteeing is an …
Towards efficient RAN slicing: A deep hierarchical reinforcement learning approach
X Sun, Z Qin, Q Zhang, Y Li - Physical Communication, 2024 - Elsevier
Radio access network (RAN) slicing can significantly improve network flexibility and
resource utilization efficiency. Generally, deep reinforcement learning (DRL) is a prevailing …
resource utilization efficiency. Generally, deep reinforcement learning (DRL) is a prevailing …
A hard and soft hybrid slicing framework for service level agreement guarantee via deep reinforcement learning
Network slicing is a critical driver for guaranteeing the diverse service level agreements
(SLA) in 5G and future networks. Recently, deep reinforcement learning (DRL) has been …
(SLA) in 5G and future networks. Recently, deep reinforcement learning (DRL) has been …
Communication and computation O-RAN resource slicing for URLLC services using deep reinforcement learning
A Filali, B Nour, S Cherkaoui… - IEEE Communications …, 2023 - ieeexplore.ieee.org
The evolution of the future beyond-5G/6G networks toward a service-aware network is
based on network slicing technology. With network slicing, communication service providers …
based on network slicing technology. With network slicing, communication service providers …
Digital twin-enhanced deep reinforcement learning for resource management in networks slicing
Network slicing-based communication systems can dynamically and efficiently allocate
resources for diversified services. However, due to the limitation of the network interface on …
resources for diversified services. However, due to the limitation of the network interface on …
Edge-AI Empowered Dynamic VNF Splitting in O-RAN Slicing: A Federated DRL Approach
This letter highlights the combined advantages of Open Radio Access Network (O-RAN) and
distributed Artificial Intelligence (AI) in network slicing. O-RAN's virtualization and …
distributed Artificial Intelligence (AI) in network slicing. O-RAN's virtualization and …
Real-time resource slicing for 5G RAN via deep reinforcement learning
R Xi, X Chen, Y Chen, Z Li - 2019 IEEE 25th International …, 2019 - ieeexplore.ieee.org
With the rapid growth of Internet of Things (IoT), network slicing is regarded as an important
technology to support the multi-users' needs for 5G mobile network. Network slicing allows …
technology to support the multi-users' needs for 5G mobile network. Network slicing allows …
Digital twin assisted resource allocation for network slicing in industry 4.0 and beyond using distributed deep reinforcement learning
L Tang, Y Du, Q Liu, J Li, S Li… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Personalization is one of the primary emerging trends in Industry 4.0 and Beyond. Highly
personalized services will present a significant challenge to the existing algorithms for …
personalized services will present a significant challenge to the existing algorithms for …
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 …
GAN-powered deep distributional reinforcement learning for resource management in network slicing
Network slicing is a key technology in 5G communications system. Its purpose is to
dynamically and efficiently allocate resources for diversified services with distinct …
dynamically and efficiently allocate resources for diversified services with distinct …