activity
20242026
most citedMachine Learning-based xApp for Dynamic Resource Allocation in O-RAN Networks

1 citations · 1 across the 7 of their papers we have counts for

collaborators

8 papers

eess.SP2026

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…

cs.LG2026

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction

Aubida A. Al-Hameed, Mohammed M. H. Qazzaz, Maryam Hafeez +1

Proactive service assurance in O-RAN requires predicting per-slice SLA violations before they occur. The prediction model must be auditable by operators and must train across base…

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…

cs.NI2025

Joint Optimisation of Load Balancing and Energy Efficiency for O-RAN Deployments

Mohammed M. H. Qazzaz, Abdelaziz Salama, Maryam Hafeez +1

Open Radio Access Network (O-RAN) architecture provides an intrinsic capability to exploit key performance monitoring (KPM) within Radio Intelligence Controller (RIC) to derive net…

eess.SY2025

Semantic-Aware Edge Intelligence for UAV Handover in 6G Networks

Aubida A. Al-Hameed, Mohammed M. H. Qazzaz, Maryam Hafeez +1

6G wireless networks aim to exploit semantic awareness to optimize radio resources. By optimizing the transmission through the lens of the desired goal, the energy consumption of t…

eess.SY2025

FedORA: Resource Allocation for Federated Learning in ORAN using Radio Intelligent Controllers

Abdelaziz Salama, Mohammed M. H. Qazzaz, Syed Danial Ali Shah +2

This work proposes an integrated approach for optimising Federated Learning (FL) communication in dynamic and heterogeneous network environments. Leveraging the modular flexibility…

cs.RO2024

Optimizing Search and Rescue UAV Connectivity in Challenging Terrain through Multi Q-Learning

Mohammed M. H. Qazzaz, Syed A. R. Zaidi, Desmond C. McLernon +2

Using Unmanned Aerial Vehicles (UAVs) in Search and rescue operations (SAR) to navigate challenging terrain while maintaining reliable communication with the cellular network is a…

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…