Digital twin-assisted flexible slice admission control for 5G core network: A deep reinforcement learning approach

J Wang, J Li, J Liu - Future Generation Computer Systems, 2024 - Elsevier
Abstract 5G core network slicing is an important component of 5G end-to-end slicing, which
divides the physical network into multiple logical networks to handle various critical service …

Reinforcement Learning-based Dynamic Admission Control with Resource Recycling for 5G Core Network Slicing

Y Li, J Wang, J Liu - GLOBECOM 2023-2023 IEEE Global …, 2023 - ieeexplore.ieee.org
5G core network slicing is an important part of 5G end-to-end slicing, which can provide
customized services by tailoring network functions for diverse application scenarios. In order …

5G/B5G Network Slice Management via Staged Reinforcement Learning

CC Liu, LD Chou - IEEE Access, 2023 - ieeexplore.ieee.org
The use of network slices to support different services in 5G/B5G networks is a key
technology of 5G/B5G networks. Many flexible control methods have been used in …

5G network slice admission control using optimization and reinforcement learning

MA Haque, V Kirova - 2022 IEEE Wireless Communications …, 2022 - ieeexplore.ieee.org
Network slicing can enable operators to maximize revenue by optimizing the utilization of
network resources. As a result, slice admission control and resource allocation decisions …

DRL-based admission control and resource allocation for 5G network slicing

S Chakraborty, KM Sivalingam - Sādhanā, 2023 - Springer
Network Slicing in 5G networks enables allocation and sharing of the underlying network
resources of an infrastructure provider (INP) among multiple tenants of the INP. Each tenant …

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 …

An enhanced deep reinforcement learning-based slice acceptance control system (EDRL-SACS) for cloud–radio access network

M Khani, S Jamali, MK Sohrabi - Physical Communication, 2023 - Elsevier
Abstract In 5G networks, Network Slicing (NS) allows service providers (SPs) to create
customized standalone networks on shared platforms provided by infrastructure providers …

Coordinated slicing and admission control using multi-agent deep reinforcement learning

M Sulaiman, A Moayyedi, M Ahmadi… - … on Network and …, 2022 - ieeexplore.ieee.org
5G Cloud Radio Access Networks (C-RANs) facilitate new forms of flexible resource
management as dynamic RAN function splitting and placement. Virtualized RAN functions …

Standing on the Shoulders of Giants: Cross-Slice Federated Meta Learning for Resource Orchestration to Cold-Start Slice

T Dong, Q Qi, J Wang, Z Zhuang, H Sun… - IEEE/ACM …, 2022 - ieeexplore.ieee.org
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 …

An artificial intelligence framework for slice deployment and orchestration in 5G networks

G Dandachi, A De Domenico… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Network slicing is a key enabler to successfully support 5G services with specific
requirements and priorities. Due to the diversity of these services, slice deployment and …