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20232026
most citedAgentic AI meets Neural Architecture Search: Proactive Traffic Prediction for AI-RAN

3 citations · 5 across the 10 of their papers we have counts for

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5 papers · 1 filter

eess.SP2026

xApp Empowered Resource Management for Non-Terrestrial Users in 5G O-RAN Networks

Mohammed M. H. Qazzaz, Syed Ali Zaidi, Aubida A. Al-Hameed +2

This paper introduces a proactive Unmanned Aerial Vehicle (UAV) mobility management xApp for Open Radio Access Network (O-RAN) Near Real-Time Radio Intelligent Controller (Near-RT…

eess.SP2025★ 3 cited

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…

eess.SP2025★ 1 cited

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…

eess.SP2025

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,…

eess.SP2023

Decentralized Federated Learning on the Edge over Wireless Mesh Networks

Abdelaziz Salama, Achilleas Stergioulis, Syed Ali Zaidi +1

The rapid growth of Internet of Things (IoT) devices has generated vast amounts of data, leading to the emergence of federated learning as a novel distributed machine learning para…