8 citations · 22 across the 17 of their papers we have counts for
18 papers
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…
The Capability Manifold and ML Scaling Laws
Syed Ali Raza Zaidi, Maryam Hafeez
Existing machine learning (ML) scaling laws relate predictive loss to compute, model parameters, and data. However, as models are increasingly deployed through agentic harnesses, l…
OTel: Building Domain-Specialized Telecom LLM Foundations for Intelligent Networks
Farbod Tavakkoli, Roderic Paulk, Jorden Terrazas +9
Frontier AI models have advanced rapidly, but they still struggle with telecom-specific tasks. We present Open Telco (OTel), an open telecom AI resource with derived datasets for r…
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…
Decision-Theoretic Safety Assessment of Persona-Driven Multi-Agent Systems in O-RAN
Zeinab Nezami, Syed Ali Raza Zaidi, Maryam Hafeez +3
Autonomous network management in Open Radio Access Networks requires intelligent decision making across conflicting objectives, yet existing LLM based multi agent systems employ ho…
Vision-Language Models on the Edge for Real-Time Robotic Perception
Sarat Ahmad, Maryam Hafeez, Syed Ali Raza Zaidi
Vision-Language Models (VLMs) enable multimodal reasoning for robotic perception and interaction, but their deployment in real-world systems remains constrained by latency, limited…
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…
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…
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…
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)…
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,…
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…
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…
The Interplay of AI-and-RAN: Dynamic Resource Allocation for Converged 6G Platform
Syed Danial Ali Shah, Zeinab Nezami, Maryam Hafeez +1
The concept of AI-RAN as specified by the AI-RAN alliance is geared to explore a converged 6G platform that can support management, orchestration, and deployment of both AI and RAN…
Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences
Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132
This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…
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…