Adaptive function placement with distributed deep reinforcement learning in RAN slicing
Y Tsukamoto, H Hirayama, SI Moon… - 2022 IEEE 95th …, 2022 - ieeexplore.ieee.org
The 5th generation mobile communication system (5G system) is expected to support
various communication services which require different aspects of quality of service (QoS) …
various communication services which require different aspects of quality of service (QoS) …
Deep Reinforcement Learning for Optimization of RAN Slicing Relying on Control-and User-Plane Separation
The rapid development of radio access network (RAN) slicing and control-and user-plane
separation (CUPS) has created a new paradigm for future networks, namely, CUPS-based …
separation (CUPS) has created a new paradigm for future networks, namely, CUPS-based …
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 …
Towards efficient RAN slicing: A deep hierarchical reinforcement learning approach
X Sun, Z Qin, Q Zhang, Y Li - Physical Communication, 2024 - Elsevier
Radio access network (RAN) slicing can significantly improve network flexibility and
resource utilization efficiency. Generally, deep reinforcement learning (DRL) is a prevailing …
resource utilization efficiency. Generally, deep reinforcement learning (DRL) is a prevailing …
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 …
Dynamic SDN-based radio access network slicing with deep reinforcement learning for URLLC and eMBB services
A Filali, Z Mlika, S Cherkaoui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Radio access network (RAN) slicing is a key technology that enables 5G network to support
heterogeneous requirements of generic services, namely ultra-reliable low-latency …
heterogeneous requirements of generic services, namely ultra-reliable low-latency …
Dynamic Resource Allocation in Network Slicing with Deep Reinforcement Learning
Network slicing is key to enabling 6G and beyond networks to simultaneously meet the
diverse quality of service (QoS) requirements of various services. In network slicing, radio …
diverse quality of service (QoS) requirements of various services. In network slicing, radio …
Reinforcement learning for radio resource management in ran slicing: A survey
M Zangooei, N Saha, M Golkarifard… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Dynamic radio resource allocation to network slices in mobile networks is challenging due to
the diverse requirements of RAN slices and the dynamic environment of wireless networks …
the diverse requirements of RAN slices and the dynamic environment of wireless networks …
Communication and computation O-RAN resource slicing for URLLC services using deep reinforcement learning
A Filali, B Nour, S Cherkaoui… - IEEE Communications …, 2023 - ieeexplore.ieee.org
The evolution of the future beyond-5G/6G networks toward a service-aware network is
based on network slicing technology. With network slicing, communication service providers …
based on network slicing technology. With network slicing, communication service providers …
Intelligent radio access network slicing for service provisioning in 6G: A hierarchical deep reinforcement learning approach
Network slicing is a key paradigm in 5G and is expected to be inherited in future 6G
networks for the concurrent provisioning of diverse quality of service (QoS). Unfortunately …
networks for the concurrent provisioning of diverse quality of service (QoS). Unfortunately …