Multi-agent deep reinforcement learning for slicing and admission control in 5G C-RAN
M Sulaiman, A Moayyedi… - NOMS 2022-2022 …, 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 …
management as dynamic RAN function splitting and placement. Virtualized RAN functions …
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 …
management as dynamic RAN function splitting and placement. Virtualized RAN functions …
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 …
customized standalone networks on shared platforms provided by infrastructure providers …
Generalizable GNN-based 5G RAN/MEC Slicing and Admission control in metropolitan networks
The 5G RAN functions can be virtualized and distributed across the radio unit (RU),
distributed unit (DU), and centralized unit (CU) to facilitate flexible resource management …
distributed unit (DU), and centralized unit (CU) to facilitate flexible resource management …
Attention-based open ran slice management using deep reinforcement learning
As emerging networks such as Open Radio Access Networks (O-RAN) and 5G continue to
grow, the demand for various services with different requirements is increasing. Network …
grow, the demand for various services with different requirements is increasing. Network …
Intelligent admission and placement of O-RAN slices using deep reinforcement learning
N Sen - 2022 IEEE 8th International Conference on Network …, 2022 - ieeexplore.ieee.org
Network slicing is a key feature of 5G and beyond networks. Intelligent management of
slices is important for reaping its highest benefits which needs further exploration. Focusing …
slices is important for reaping its highest benefits which needs further exploration. Focusing …
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 …
slice resource allocation to ensure the differentiated performance requirements of diversified …
5G network slice admission control using optimization and reinforcement learning
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 …
network resources. As a result, slice admission control and resource allocation decisions …
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 …
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 …