3 citations · 5 across the 10 of their papers we have counts for
10 papers
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…
Safety and Risk Pathways in Cooperative Generative Multi-Agent Systems: A Telecom Perspective
Zeinab Nezami, Shehr Bano, Abdelaziz Salama +2
Generative multiagent systems are rapidly emerging as transformative tools for scalable automation and adaptive decisionmaking in telecommunications. Despite their promise, these s…
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…
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…
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,…
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…
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…
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…
FLCC: Efficient Distributed Federated Learning on IoMT over CSMA/CA
Abdelaziz Salama, Syed Ali Zaidi, Des McLernon +1
Federated Learning (FL) has emerged as a promising approach for privacy preservation, allowing sharing of the model parameters between users and the cloud server rather than the ra…