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

3 citations · 6 across the 11 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.SP2024★ 1 cited

Machine Learning-based xApp for Dynamic Resource Allocation in O-RAN Networks

Mohammed M. H. Qazzaz, Łukasz Kułacz, Adrian Kliks +3

The disaggregated, distributed and virtualised implementation of radio access networks allows for dynamic resource allocation. These attributes can be realised by virtue of the Ope…