Statistical federated learning for beyond 5G SLA-constrained RAN slicing
A key enabler for both scalability and sustainability in beyond 5G (B5G) network slicing
consists on minimizing the exchange of raw monitoring data across different domains. This …
consists on minimizing the exchange of raw monitoring data across different domains. This …
Offline SLA-constrained deep learning for 5G networks reliable and dynamic end-to-end slicing
H Chergui, C Verikoukis - IEEE Journal on Selected Areas in …, 2019 - ieeexplore.ieee.org
In this paper, we address the issue of resource provisioning as an enabler for end-to-end
dynamic slicing in software defined networking/network function virtualization (SDN/NFV) …
dynamic slicing in software defined networking/network function virtualization (SDN/NFV) …
Efficient wireless network slicing in 5G networks: An asynchronous federated learning approach
K Bedda, ZM Fadlullah… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
While researchers continue to incorporate intelligent algorithms in Fifth Generation (5G) and
beyond networks to achieve high-accuracy decisions with ultra-low latency and significantly …
beyond networks to achieve high-accuracy decisions with ultra-low latency and significantly …
Zero-touch AI-driven distributed management for energy-efficient 6G massive network slicing
Sixth-generation (6G) systems are expected to inaugurate the era of massive and extremely
heterogeneous network slicing, where tenancy would be extended to the final consumer …
heterogeneous network slicing, where tenancy would be extended to the final consumer …
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 …
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 …
Transfer learning-based accelerated deep reinforcement learning for 5G RAN slicing
AM Nagib, H Abou-Zeid… - 2021 IEEE 46th …, 2021 - ieeexplore.ieee.org
Deep Reinforcement Learning (DRL) algorithms have been recently proposed to solve
dynamic Radio Resource Management (RRM) problems in 5G networks. However, the slow …
dynamic Radio Resource Management (RRM) problems in 5G networks. However, the slow …
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 …
An intelligent self-sustained RAN slicing framework for diverse service provisioning in 5G-beyond and 6G networks
Network slicing is a key technology to support the concurrent provisioning of heterogeneous
Quality of Service (QoS) in the 5th Generation (5G)-beyond and the 6th Generation (6G) …
Quality of Service (QoS) in the 5th Generation (5G)-beyond and the 6th Generation (6G) …
Towards green machine learning for resource allocation in beyond 5G RAN slicing
A Oliveira, T Vazão - Computer Networks, 2023 - Elsevier
The new generation of mobile communications, 5G, has been rolled out. While basic
features were successively implemented, more complex ones have been left aside for a new …
features were successively implemented, more complex ones have been left aside for a new …