Reinforcement learning based resource allocation for network slices in O-RAN midhaul
NF Cheng, T Pamuklu… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
Network slicing envisions the 5th generation (5G) mobile network resource allocation to be
based on different requirements for different services, such as Ultra-Reliable Low Latency …
based on different requirements for different services, such as 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 …
Deep Reinforcement Learning for Online Resource Allocation in Network Slicing
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 …
service (QoS) requirements of different services simultaneously. In network slicing, radio …
Federated deep reinforcement learning for resource allocation in O-RAN slicing
Recently, open radio access network (O-RAN) has become a promising technology to
provide an open environment for network vendors and operators. Coordinating the x …
provide an open environment for network vendors and operators. Coordinating the x …
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 …
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 …
networks for the fifth-generation (5G) use-cases (enhanced mobile broadband, ultrareliable …
Evolutionary deep reinforcement learning for dynamic slice management in O-RAN
The next-generation wireless networks are required to satisfy a variety of services and
criteria concurrently. To address upcoming strict criteria, a new open radio access network …
criteria concurrently. To address upcoming strict criteria, a new open radio access network …
An Inter-Slice RB Leasing and Association Adjustment Scheme in O-RAN
Y Hou, K Zhang, X Liu, G Chuai… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The slice-based Open Radio Access Network (O-RAN) enables rapid deployment of logical
networks and provides personalized services. In designing the inter-slice resource sharing …
networks and provides personalized services. In designing the inter-slice resource sharing …
Resource slicing for eMBB and URLLC services in radio access network using hierarchical deep learning
M Setayesh, S Bahrami… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network slicing is a promising technique for wireless service providers to support enhanced
mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) services …
mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) services …
Dynamically resource allocation in beyond 5g (b5g) network ran slicing using deep deterministic policy gradient
R Munir, Y Wei, C Ma, B Yang - Wireless Communications and …, 2022 - Wiley Online Library
Network slicing makes it possible for future applications with a variety of adaptability
requirements and performance requirements by spliting the physical network into several …
requirements and performance requirements by spliting the physical network into several …