9 citations · 21 across the 16 of their papers we have counts for
11 papers · 1 filter
AI-Native Multi-Access Future Networks -- The REASON Architecture
Konstantinos Katsaros, Ioannis Mavromatis, Kostantinos Antonakoglou +13
The development of the sixth generation of communication networks (6G) has been gaining momentum over the past years, with a target of being introduced by 2030. Several initiatives…
Connecting the Unconnected: A DT Case Study of Nomadic Nodes Deployment in Nepal
Ioannis Mavromatis, Angeliki Katsenou, Klodian Bardhi +2
This paper addresses the challenge of robust cellular connectivity in dense, underdeveloped urban environments, specifically focusing on Kathmandu, Nepal. As cities grow, existing…
Profiling AI Models: Towards Efficient Computation Offloading in Heterogeneous Edge AI Systems
Juan Marcelo Parra-Ullauri, Oscar Dilley, Hari Madhukumar +1
The rapid growth of end-user AI applications, such as computer vision and generative AI, has led to immense data and processing demands often exceeding user devices' capabilities.…
Resource Management and Circuit Scheduling for Distributed Quantum Computing Interconnect Networks
Sima Bahrani, Romerson D. Oliveira, Juan Marcelo Parra-Ullauri +2
Distributed quantum computing (DQC) has emerged as a promising approach to overcome the scalability limitations of monolithic quantum processors in terms of computational capabilit…
Federated Fairness Analytics: Quantifying Fairness in Federated Learning
Oscar Dilley, Juan Marcelo Parra-Ullauri, Rasheed Hussain +1
Federated Learning (FL) is a privacy-enhancing technology for distributed ML. By training models locally and aggregating updates - a federation learns together, while bypassing cen…
DRL-Assisted Dynamic QoT-Aware Service Provisioning in Multi-Band Elastic Optical Networks
Yiran Teng, Carlos Natalino, Farhad Arpanaei +4
We propose a DRL-assisted approach for service provisioning in multi-band elastic optical networks. Our simulation environment uses an accurate QoT estimator based on the GN/EGN mo…
Reasoning AI Performance Degradation in 6G Networks with Large Language Models
Liming Huang, Yulei Wu, Dimitra Simeonidou
The integration of Artificial Intelligence (AI) within 6G networks is poised to revolutionize connectivity, reliability, and intelligent decision-making. However, the performance o…
Federated Transfer Component Analysis Towards Effective VNF Profiling
Xunzheng Zhang, Shadi Moazzeni, Juan Marcelo Parra-Ullauri +2
The increasing concerns of knowledge transfer and data privacy challenge the traditional gather-and-analyse paradigm in networks. Specifically, the intelligent orchestration of Vir…
AI Model Placement for 6G Networks under Epistemic Uncertainty Estimation
Liming Huang, Yulei Wu, Juan Marcelo Parra-Ullauri +2
The adoption of Artificial Intelligence (AI) based Virtual Network Functions (VNFs) has witnessed significant growth, posing a critical challenge in orchestrating AI models within…
NetMind: Adaptive RAN Baseband Function Placement by GCN Encoding and Maze-solving DRL
Haiyuan Li, Peizheng Li, Karcius Day Assis +5
The disaggregated and hierarchical architecture of advanced RAN presents significant challenges in efficiently placing baseband functions and user plane functions in conjunction wi…
Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities
Juan Marcelo Parra-Ullauri, Xunzheng Zhang, Anderson Bravalheri +3
Extensive research is underway to meet the hyper-connectivity demands of 6G networks, driven by applications like XR/VR and holographic communications, which generate substantial d…