9 citations · 17 across the 26 of their papers we have counts for
28 papers
Energy-Latency Trade-offs in O-RAN with Distributed Baseband Processing and AI Inference
Urooj Tariq, Rishu Raj, Shashi Raj Pandey +3
The Open Radio Access Network (O-RAN) architecture introduces flexible functional splits and open interfaces that enable distributed and centralized deployment of baseband processi…
Is Our Benchmark Enough? An Analysis of Continual Learning for MLLMs
Van-Tuan Tran, Shruthi Gowda, Merim Dzaferagic +1
Continual adaptation is essential for multimodal large language models (MLLMs) deployed across evolving domains, but the state-of-the-art MR-LoRA method highly relies on the assump…
AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure
Merim Dzaferagic
The convergence of multiple network domains, including radio access, optical transport, and core networks, under unified intelligent control is a fundamental requirement for future…
UB-SMoE: Universally Balanced Sparse Mixture-of-Experts for Resource-adaptive Federated Fine-tuning of Foundation Models
Van-Tuan Tran, Hong-Hanh Nguyen-Le, Marco Ruffini +1
Heterogeneous LoRA-rank methods address system heterogeneity in federated fine-tuning of foundation models by assigning client-specific ranks based on computational capabilities. H…
Energy Consumption in Next Generation Radio Access Networks
Urooj Tariq, Rishu Raj, Merim Dzaferagic +1
Historically, in macro-cell-based networks, the radio access network (RAN) portion accounts for the largest share of energy consumption in mobile networks. With greater densificati…
msData: A Millisecond-Resolution Network Dataset for Advancing Time Series Foundation Models
Subina Khanal, Seshu Tirupathi, Merim Dzaferagic +2
Time series foundation models (TSFMs) require diverse, real-world datasets to adapt across varying domains and temporal frequencies. However, current large-scale datasets predomina…
Dynamic Features Adaptation in Networking: Toward Flexible training and Explainable inference
Yannis Belkhiter, Seshu Tirupathi, Giulio Zizzo +2
As AI becomes a native component of 6G network control, AI models must adapt to continuously changing conditions, including the introduction of new features and measurements driven…
Demonstration of Cooperative Transport Interface over Open Source 7.2 split RAN and Virtualised Open PON Network
Merim Dzaferagic, Kevin O'Sullivan, Bruce Richardson +4
We demonstrate end-to-end 5G Open RAN over PON using off-the-shelf open networking hardware and open source RAN software. The implementation of the Cooperative Transport Interface…
Modular and Integrated AI Control Framework across Fiber and Wireless Networks for 6G
Merim Dzaferagic, Marco Ruffini, Daniel Kilper
The rapid evolution of communication networks towards 6G increasingly incorporates advanced AI-driven controls across various network segments to achieve intelligent, zero-touch op…
Decentralized Multi-Party Multi-Network AI for Global Deployment of 6G Wireless Systems
Merim Dzaferagic, Marco Ruffini, Nina Slamnik-Krijestorac +21
Multiple visions of 6G networks elicit Artificial Intelligence (AI) as a central, native element. When 6G systems are deployed at a large scale, end-to-end AI-based solutions will…
ML-based handover prediction over a real O-RAN deployment using RAN Intelligent controller
Merim Dzaferagic, Bruno Missi Xavier, Diarmuid Collins +3
O-RAN introduces intelligent and flexible network control in all parts of the network. The use of controllers with open interfaces allow us to gather real time network measurements…
Demonstration of Cooperative Transport Interface using open-source 5G OpenRAN and virtualised PON network
Frank Slyne, Kevin O Sullivan, Merim Dzaferagic +6
We demonstrate a real-time, converged 5G-PON through the Cooperative Transport Interface, synchronising 5G and PON-DBA upstream schedulers. This innovative approach, implemented us…
Cross-Domain AI for Early Attack Detection and Defense Against Malicious Flows in O-RAN
Bruno Missi Xavier, Merim Dzaferagic, Irene Vilà +2
Only the chairs can edit In the fight against cyber attacks, Network Softwarization (NS) is a flexible and adaptable shield, using advanced software to spot malicious activity in r…
Machine Learning-based Early Attack Detection Using Open RAN Intelligent Controller
Bruno Missi Xavier, Merim Dzaferagic, Diarmuid Collins +3
We design and demonstrate a method for early detection of Denial-of-Service attacks. The proposed approach takes advantage of the OpenRAN framework to collect measurements from the…
ML Approach for Power Consumption Prediction in Virtualized Base Stations
Merim Dzaferagic, Jose A. Ayala-Romero, Marco Ruffini
The flexibility introduced with the Open Radio Access Network (O-RAN) architecture allows us to think beyond static configurations in all parts of the network. This paper addresses…
Analysis of Temporal Robustness in Massive Machine Type Communications
Debjani Goswami, Merim Dzaferagic, Harun Siljak +2
The evolution of fifth generation (5G) networks needs to support the latest use cases, which demand robust network connectivity for the collaborative performance of the network age…
Near Real-Time Distributed State Estimation via AI/ML-Empowered 5G Networks
Ognjen Kundacina, Miodrag Forcan, Mirsad Cosovic +5
Fifth-Generation (5G) networks have a potential to accelerate power system transition to a flexible, softwarized, data-driven, and intelligent grid. With their evolving support for…
Containing Future Epidemics with Trustworthy Federated Systems for Ubiquitous Warning and Response
Dick Carrillo, Lam Duc Nguyen, Pedro H. J. Nardelli +11
In this paper, we propose a global digital platform to avoid and combat epidemics by providing relevant real-time information to support selective lockdowns. It leverages the perva…
Three-layer Approach to Detect Anomalies in Industrial Environments based on Machine Learning
Daniel Gutierrez-Rojas, Mehar Ullah, Ioannis T. Christou +8
This paper introduces a general approach to design a tailored solution to detect rare events in different industrial applications based on Internet of Things (IoT) networks and mac…
Neurosciences and 6G: Lessons from and Needs of Communicative Brains
Renan C. Moioli, Pedro H. J. Nardelli, Michael Taynnan Barros +9
This paper presents the first comprehensive tutorial on a promising research field located at the frontier of two well-established domains: Neurosciences and wireless communication…
Minimizing the Signaling Overhead and Latency based on Users' Mobility Patterns
Merim Dzaferagic, Nicola Marchetti, Irene Macaluso
We demonstrate a distributed and a centralized 4G/5G compliant approach to minimize signaling and latency related to user mobility in cellular networks. This is crucial due to the…
Agent-Based Modelling Approach for Distributed Decision Support in an IoT Network
Merim Dzaferagic, M. Majid Butt, Maria Murphy +2
An increasing number of emerging applications, e.g., internet of things, vehicular communications, augmented reality, and the growing complexity due to the interoperability require…
Improving In-Network Computing in IoT Through Degeneracy
Merim Dzaferagic, Neal McBride, Ryan Thomas +2
We present a novel way of considering in-network computing (INC), using ideas from statistical physics. We define degeneracy for INC as the multiplicity of possible options availab…
Performance of Massive MIMO Self-Backhauling for Ultra-Dense Small Cell Deployments
Andrea Bonfante, Lorenzo Galati Giordano, David López-Pérez +6
A key aspect of the fifth-generation wireless communication network will be the integration of different services and technologies to provide seamless connectivity. In this paper,…