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 …

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 …

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 …

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 …

The LSTM-based advantage actor-critic learning for resource management in network slicing with user mobility

R Li, C Wang, Z Zhao, R Guo… - IEEE Communications …, 2020 - ieeexplore.ieee.org
Network slicing aims to efficiently provision diversified services with distinct requirements
over the same physical infrastructure. Therein, in order to efficiently allocate resources …

Autonomous resource provisioning and resource customization for mixed traffics in virtualized radio access network

G Sun, K Xiong, GO Boateng… - IEEE Systems …, 2019 - ieeexplore.ieee.org
Network slicing has been introduced in fifth-generation (5G) systems to satisfy requirements
of diverse applications from various service providers operating on a common shared …

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 …

Deep reinforcement learning based resource allocation for network slicing with massive MIMO

D Yan, BK Ng, W Ke, CT Lam - IEEE Access, 2023 - ieeexplore.ieee.org
Network slicing is a critical technology for fifth-generation (5G) networks, owing to its merits
in meeting the diversified requirements of users. Effective resource allocation for network …

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

Y Hua, R Li, Z Zhao, X Chen… - IEEE Journal on Selected …, 2019 - ieeexplore.ieee.org
Network slicing is a key technology in 5G communications system. Its purpose is to
dynamically and efficiently allocate resources for diversified services with distinct …

A constrained reinforcement learning based approach for network slicing

Y Liu, J Ding, X Liu - 2020 IEEE 28th International Conference …, 2020 - ieeexplore.ieee.org
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 …