most citedGenerative AI on the Edge: Architecture and Performance Evaluation

6 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

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…

cs.AI2025

Benchmarking Vector, Graph and Hybrid Retrieval Augmented Generation (RAG) Pipelines for Open Radio Access Networks (ORAN)

Sarat Ahmad, Zeinab Nezami, Maryam Hafeez +1

Generative AI (GenAI) is expected to play a pivotal role in enabling autonomous optimization in future wireless networks. Within the ORAN architecture, Large Language Models (LLMs)…

eess.SY2025

From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems

Zeinab Nezami, Syed Danial Ali Shah, Maryam Hafeez +2

This paper envisions 6G as a self-evolving telecom ecosystem, where AI-driven intelligence enables dynamic adaptation beyond static connectivity. We explore the key enablers of aut…

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.DC20246 cited

Generative AI on the Edge: Architecture and Performance Evaluation

Zeinab Nezami, Maryam Hafeez, Karim Djemame +1

6G's AI native vision of embedding advance intelligence in the network while bringing it closer to the user requires a systematic evaluation of Generative AI (GenAI) models on edge…