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