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 …
Survey on network slicing for Internet of Things realization in 5G networks
S Wijethilaka, M Liyanage - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) is an emerging technology that makes people's lives smart by
conquering a plethora of diverse application and service areas. In near future, the fifth …
conquering a plethora of diverse application and service areas. In near future, the fifth …
Graph attention network-based multi-agent reinforcement learning for slicing resource management in dense cellular network
Network slicing (NS) management devotes to providing various services to meet distinct
requirements over the same physical communication infrastructure and allocating resources …
requirements over the same physical communication infrastructure and allocating resources …
A reinforcement learning based approach for 5G network slicing across multiple domains
G Kibalya, J Serrat, JL Gorricho… - … on Network and …, 2019 - ieeexplore.ieee.org
Network Function Virtualization (NFV) and Machine Learning (ML) are envisioned as
possible techniques for the realization of a flexible and adaptive 5G network. ML will provide …
possible techniques for the realization of a flexible and adaptive 5G network. ML will provide …
Deep Q-learning-based dynamic network slicing and task offloading in edge network
Recently, Edge Computing (EC) has become a promising enabler to support emerging
applications in 5G mobile networks by offloading compute-intensive tasks from devices to …
applications in 5G mobile networks by offloading compute-intensive tasks from devices to …
5g e2e network slicing management with onap
VQ Rodriguez, F Guillemin… - 2020 23rd Conference …, 2020 - ieeexplore.ieee.org
Network slicing is one of the central features of 5G networks and beyond. Slicing enables
network operators to provide differentiated services to customers by dynamically allocating …
network operators to provide differentiated services to customers by dynamically allocating …
A multi-agent reinforcement learning architecture for network slicing orchestration
The Network Slicing (NS) paradigm is one of the pillars of the future 5G networks and is
gathering great attention from both industry and scientific communities. In a NS scenario …
gathering great attention from both industry and scientific communities. In a NS scenario …
Deep reinforcement learning with discrete normalized advantage functions for resource management in network slicing
Network slicing promises to provision diversified services with distinct requirements in one
infrastructure. Deep reinforcement learning (eg, deep Q-learning, DQL) is assumed to be an …
infrastructure. Deep reinforcement learning (eg, deep Q-learning, DQL) is assumed to be an …
SliceBlock: context-aware authentication handover and secure network slicing using DAG-blockchain in edge-assisted SDN/NFV-6G environment
IH Abdulqadder, S Zhou - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Network slicing in a 6G environment is an important research area in the current years.
However, satisfying the demands of network slice requests is a challenging task. Energy …
However, satisfying the demands of network slice requests is a challenging task. Energy …
Standing on the shoulders of giants: Cross-slice federated meta learning for resource orchestration to cold-start slice
Network slicing is a key technology in 6G communication systems to support numerous
vertical applications for all scenes while providing resources on demand. Due to more time …
vertical applications for all scenes while providing resources on demand. Due to more time …