Flexible RAN Slicing in Open RAN With Constrained Multi-Agent Reinforcement Learning
M Zangooei, M Golkarifard, M Rouili… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Network slicing enables the provision of customized services in next-generation mobile
networks. Accordingly, the network is divided into logically isolated networks that share …
networks. Accordingly, the network is divided into logically isolated networks that share …
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 …
Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing
F Rezazadeh, H Chergui… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
The complexity of emerging sixth-generation (6G) wireless networks has sparked an
upsurge in adopting artificial intelligence (AI) to underpin the challenges in network …
upsurge in adopting artificial intelligence (AI) to underpin the challenges in network …
Federated deep reinforcement learning for open ran slicing in 6g networks
A Abouaomar, A Taik, A Filali… - IEEE Communications …, 2022 - ieeexplore.ieee.org
Radio access network (RAN) slicing is a key element in enabling current 5G networks and
next-generation networks to meet the requirements of different services in various verticals …
next-generation networks to meet the requirements of different services in various verticals …
On the specialization of fdrl agents for scalable and distributed 6g ran slicing orchestration
Network slicing enables multiple virtual networks to be instantiated and customized to meet
heterogeneous use case requirements over 5G and beyond network deployments …
heterogeneous use case requirements over 5G and beyond network deployments …
Efficient optimization of actor-critic learning for constrained resource orchestration in ran with network slicing
HK Janjua, I de Miguel, RJD Barroso… - … 26th Conference on …, 2023 - ieeexplore.ieee.org
Network Slicing (NS) is a key enabler of the 5G network ecosystem due to its potential to
provide distinct services over the same physical infrastructure. However, the necessity to …
provide distinct services over the same physical infrastructure. However, the necessity to …
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 …
A hard and soft hybrid slicing framework for service level agreement guarantee via deep reinforcement learning
Network slicing is a critical driver for guaranteeing the diverse service level agreements
(SLA) in 5G and future networks. Recently, deep reinforcement learning (DRL) has been …
(SLA) in 5G and future networks. Recently, deep reinforcement learning (DRL) has been …
The LSTM-based advantage actor-critic learning for resource management in network slicing with user mobility
Network slicing aims to efficiently provision diversified services with distinct requirements
over the same physical infrastructure. Therein, in order to efficiently allocate resources …
over the same physical infrastructure. Therein, in order to efficiently allocate resources …
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 …