A multi-agent reinforcement learning approach for capacity sharing in multi-tenant scenarios
5G is envisioned to simultaneously provide diverse service types with heterogeneous needs
under very different application scenarios and business models. Therefore, network slicing …
under very different application scenarios and business models. Therefore, network slicing …
A novel approach for dynamic capacity sharing in multi-tenant scenarios
Network slicing is included as a key feature of the 5G architecture in order to simultaneously
support diverse service types with heterogeneous requirements. The deployment of network …
support diverse service types with heterogeneous requirements. The deployment of network …
Resource slicing and customization in RAN with dueling deep Q-network
The emerging future generation 5G technology is expected to support service-oriented
virtualized networks where different network applications provide unique services. 5G …
virtualized networks where different network applications provide unique services. 5G …
Energy-efficient deep reinforcement learning assisted resource allocation for 5G-RAN slicing
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 …
power resources are virtualized as a logical network taking into account the requirements of …
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 …
Deep Reinforcement Learning for Scalable Dynamic Bandwidth Allocation in RAN Slicing with Highly Mobile Users
Radio Access Network (RAN) slicing is a key technology in 5G communication systems. It
dynamically allocates network resources such as bandwidth and time slots to each RAN …
dynamically allocates network resources such as bandwidth and time slots to each RAN …
Intelligent resource scheduling for 5G radio access network slicing
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 …
connectivity services of the forthcoming next-generation mobile networks (5G). Resource …
Flexible resource block allocation to multiple slices for radio access network slicing using deep reinforcement learning
Y Abiko, T Saito, D Ikeda, K Ohta, T Mizuno… - IEEE …, 2020 - ieeexplore.ieee.org
In the fifth-generation of mobile communications, network slicing is used to provide an
optimal network for various services as a slice. In this paper, we propose a radio access …
optimal network for various services as a slice. In this paper, we propose a radio access …
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 …
Knowledge transfer and reuse: A case study of AI-enabled resource management in RAN slicing
Efficient resource management scheme is critical to enable network slicing in 5G networks,
in envisioned 6G networks, and artificial intelligence (AI) techniques offer promising …
in envisioned 6G networks, and artificial intelligence (AI) techniques offer promising …