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 …

Deep Reinforcement Learning for Online Resource Allocation in Network Slicing

Y Cai, P Cheng, Z Chen, M Ding… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Network slicing is a key enabler of 5G and beyond networks to satisfy the diverse quality of
service (QoS) requirements of different services simultaneously. In network slicing, radio …

Reinforcement learning based resource allocation for network slicing in 5G C-RAN

X Wang, T Zhang - 2019 Computing, Communications and IoT …, 2019 - ieeexplore.ieee.org
In network slicing enabled 5G cloud radio access networks (C-RAN), we study the network
slice resource allocation to ensure the differentiated performance requirements of diversified …

GAN-based deep distributional reinforcement learning for resource management in network slicing

Y Hua, R Li, Z Zhao, H Zhang… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Network slicing is a key technology in 5G communications system, which aims to
dynamically and efficiently allocate resources for diversified services with distinct …

Two-tier resource allocation in dynamic network slicing paradigm with deep reinforcement learning

G Yang, Q Liu, X Zhou, Y Qian… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Network slicing is treated as a key technology of the rapidly developing 5G system.
Nevertheless, the environment of the users is extremely complex, leading to a great …

Energy-efficient deep reinforcement learning assisted resource allocation for 5G-RAN slicing

Y Azimi, S Yousefi, H Kalbkhani… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
One of the pillars of the 5G architecture is network slicing, in which hardware, radio, and
power resources are virtualized as a logical network taking into account the requirements of …

Intelligent resource scheduling for 5G radio access network slicing

M Yan, G Feng, J Zhou, Y Sun… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

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 …

Towards Scalable and Efficient Hierarchical Deep Reinforcement Learning for 5G RAN Slicing

R Huang, M Guo, C Gu, S He, J Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As an emerging and promising network paradigm, network slicing creates multiple logical
networks on shared infrastructure to provide services with customized Quality-of-Service …

Reinforcement learning for resource mapping in 5G network slicing

L Zhao, L Li - 2020 5th International Conference on Computer …, 2020 - ieeexplore.ieee.org
In the era of 5G, network slicing is considered to be an effective solution for flexible network
deployment and diversified services. It based on network virtualization technology to divide …