A survey on how network simulators serve reinforcement learning in wireless networks
S Ergun, I Sammour, G Chalhoub - Computer Networks, 2023 - Elsevier
Rapid adoption of mobile devices, coupled with the increase in prominence of mobile
applications and services, resulted in unprecedented infrastructure requirements for mobile …
applications and services, resulted in unprecedented infrastructure requirements for mobile …
Security of federated learning in 6G era: A review on conceptual techniques and software platforms used for research and analysis
Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm enabling
multiple parties to train a model collaboratively without sharing their data. With the upcoming …
multiple parties to train a model collaboratively without sharing their data. With the upcoming …
Traffic steering for 5G Multi-RAT deployments using deep reinforcement learning
In 5G non-standalone mode, traffic steering is a critical technique to take full advantage of
5G new radio while optimizing dual connectivity of 5G and LTE networks in multiple radio …
5G new radio while optimizing dual connectivity of 5G and LTE networks in multiple radio …
PPAM-mIoMT: a privacy-preserving authentication with device verification for securing healthcare systems in 5G networks
MR Patruni, AG Humayun - International Journal of Information Security, 2024 - Springer
In 5G, the next generation of technologies like the Internet of Medical Things (IoMT)
cooperate with networking artifacts to provide seamless connectivity. To provide effective …
cooperate with networking artifacts to provide seamless connectivity. To provide effective …
Hierarchical reinforcement learning based traffic steering in multi-RAT 5G deployments
In 5G non-standalone mode, an intelligent traffic steering mechanism can vastly aid in
ensuring a smooth user experience by selecting the best radio access technology (RAT) …
ensuring a smooth user experience by selecting the best radio access technology (RAT) …
Security in Federated Learning Enabled 6g Era: A Review on Conceptual Techniques and Software Platforms Used for Research and Analysis
Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm that enables
multiple parties to collaboratively train a model without sharing their data. With the upcoming …
multiple parties to collaboratively train a model without sharing their data. With the upcoming …
Privacy Preserving Based on Seamless Authentication with Provable Key Verification using mIoMT for B5G-enabled Healthcare Systems
B5G-enabled healthcare systems interconnect a wide range of Internet of Medical Things
(IoMT) using supportive networks such as heterogeneous networks and cognitive radio …
(IoMT) using supportive networks such as heterogeneous networks and cognitive radio …
[PDF][PDF] Distributed Reinforcement Learning-based Seamless Multi-Connectivity Solution for Heterogeneous 5GNR and Wi-Fi Networks.
HD Albonda - International Journal of Intelligent Engineering & …, 2024 - inass.org
The integration of 5G New Radio (5G-NR) and Wi-Fi networks in heterogeneous
environments holds significant promise for delivering critical services with relatively high …
environments holds significant promise for delivering critical services with relatively high …