Federated Learning with Dual Attention for Robust Modulation Classification under Attacks
Federated learning (FL) allows distributed participants to train machine learning models in a
decentralized manner. It can be used for radio signal classification with multiple receivers …
decentralized manner. It can be used for radio signal classification with multiple receivers …
Enhancing Vehicular Networks With Hierarchical O-RAN Slicing and Federated DRL
With 5G technology evolving, Open Radio Access Network (O-RAN) solutions are becoming
crucial, especially for handling the diverse Quality of Service (QoS) needs in vehicular …
crucial, especially for handling the diverse Quality of Service (QoS) needs in vehicular …
User Classification and Traffic Steering in O-RAN
R Ntassah, GM Dell'area… - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
The O-RAN architectural framework enables the application of AI/ML techniques for traffic
steering and load balancing. Indeed, an effective steering technique is crucial to avoiding …
steering and load balancing. Indeed, an effective steering technique is crucial to avoiding …
Design of Computing-Aware Traffic Steering architecture for 5G Mobile User Plane
MN Tran, VB Duong, Y Kim - IEEE Access, 2024 - ieeexplore.ieee.org
One of the critical targets of the fifth generation (5G) mobile network is supporting low
latency and high reliable services at the network edge servers. Multiple service instances of …
latency and high reliable services at the network edge servers. Multiple service instances of …