Algorithmics and modeling aspects of network slicing in 5G and beyonds network: Survey
One of the key goals of future 5G networks is to incorporate many different services into a
single physical network, where each service has its logical network isolated from other …
single physical network, where each service has its logical network isolated from other …
Federated learning for 6g: Paradigms, taxonomy, recent advances and insights
Artificial Intelligence (AI) is expected to play an instrumental role in the next generation of
wireless systems, such as sixth-generation (6G) mobile network. However, massive data …
wireless systems, such as sixth-generation (6G) mobile network. However, massive data …
Towards secure and intelligent network slicing for 5g networks
Network slicing is one of the emerging technologies allowing resource sharing among
different network entities in 5G networks. It enables delivering smart, critical, and multi …
different network entities in 5G networks. It enables delivering smart, critical, and multi …
Elastic O-RAN slicing for industrial monitoring and control: A distributed matching game and deep reinforcement learning approach
In this work, we design an elastic open radio access network (O-RAN) slicing for the
Industrial Internet of things (IIoT). Due to the rapid spread of IoT in the industrial use-cases …
Industrial Internet of things (IIoT). Due to the rapid spread of IoT in the industrial use-cases …
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 …
Decentralized federated reinforcement learning for user-centric dynamic TFDD control
The explosive growth of dynamic and heterogeneous data traffic brings great challenges for
5G and beyond mobile networks. To enhance the network capacity and reliability, we …
5G and beyond mobile networks. To enhance the network capacity and reliability, we …
Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case
In the context of sixth-generation (6G) networks, where diverse network slices coexist, the
adoption of AI-driven zero-touch management and orchestration (MANO) becomes crucial …
adoption of AI-driven zero-touch management and orchestration (MANO) becomes crucial …
Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing
In recent years, wireless networks are evolving complex, which upsurges the use of zero-
touch artificial intelligence (AI)-driven network automation within the telecommunication …
touch artificial intelligence (AI)-driven network automation within the telecommunication …
Overview of AI-based Algorithms for Network Slicing Resource Management in B5G and 6G
F Debbabi, J Rihab, L Chaari… - 2022 International …, 2022 - ieeexplore.ieee.org
We are now in the early stage of the Fifth Generation (5G) commercialization, and its
improved capabilities and unique features will revolutionize the present wireless network …
improved capabilities and unique features will revolutionize the present wireless network …
TEFL: Turbo Explainable Federated Learning for 6G Trustworthy Zero-Touch Network Slicing
Sixth-generation (6G) networks anticipate intelligently supporting a massive number of
coexisting and heterogeneous slices associated with various vertical use cases. Such a …
coexisting and heterogeneous slices associated with various vertical use cases. Such a …