9 citations · 21 across the 16 of their papers we have counts for
8 papers · 1 filter
Lifecycle Management of Trustworthy AI Models in 6G Networks: The REASON Approach
Juan Parra-Ullauri, Xueqing Zhou, Shadi Moazzeni +11
Artificial Intelligence (AI) is expected to play a key role in 6G networks including optimising system management, operation, and evolution. This requires systematic lifecycle mana…
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…
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…
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…
iOn-Profiler: intelligent Online multi-objective VNF Profiling with Reinforcement Learning
Xenofon Vasilakos, Shadi Moazzeni, Anderson Bravalheri +3
Leveraging the potential of Virtualised Network Functions (VNFs) requires a clear understanding of the link between resource consumption and performance. The current state of the a…