8 citations · 22 across the 17 of their papers we have counts for
4 papers · 1 filter
A QoE-Driven Framework for O-RAN Network Slicing Based on Empirical Multi-User VR Traffic Modelling
Ahmed Chyad, David Naseh, Maryam Hafeez +1
Virtual Reality (VR) requires strict Quality-of-Experience (QoE) guarantees, making radio resource management harder. Static slice allocations are wasteful, while dynamic approache…
Agentic AI meets Neural Architecture Search: Proactive Traffic Prediction for AI-RAN
Abdelaziz Salama, Mohammed M. H. Qazzaz, Zeinab Nezami +2
Next-generation wireless networks require intelligent traffic prediction to enable autonomous resource management and handle diverse, dynamic service demands. The Open Radio Access…
Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN
Abdelaziz Salama, Zeinab Nezami, Mohammed M. H. Qazzaz +2
The deployment of AI agents within legacy Radio Access Network (RAN) infrastructure poses significant safety and reliability challenges for future 6G networks. This paper presents…
EcoFL: Resource Allocation for Energy-Efficient Federated Learning in Multi-RAT ORAN Networks
Abdelaziz Salama, Mohammed M. H. Qazzaz, Syed Danial Ali Shah +3
Federated Learning (FL) enables distributed model training on edge devices while preserving data privacy. However, FL deployments in wireless networks face significant challenges,…