5 papers
Harnessing Data Spaces to Build Intelligent Smart City Infrastructures Across the Cloud-Edge Continuum
Dimitrios Amaxilatis, Themistoklis Sarantakos, Nikolaos Tsironis +3
Smart cities are increasingly adopting data-centric architectures to enhance the efficiency, sustainability, and resilience of urban services.
Deep Reinforcement Learning for Backhaul Link Selection for Network Slices in IAB Networks
António J. Morgado, Firooz B. Saghezchi, Pablo Fondo-Ferreiro +4
Integrated Access and Backhaul (IAB) has been recently proposed by 3GPP to enable network operators to deploy fifth generation (5G) mobile networks with reduced costs. In this pape…
Enhancing AI Transparency: XRL-Based Resource Management and RAN Slicing for 6G ORAN Architecture
Suvidha Mhatre, Ferran Adelantado, Kostas Ramantas +1
This research introduces an advanced Explainable Artificial Intelligence (XAI) framework designed to elucidate the decision-making processes of Deep Reinforcement Learning (DRL) ag…
AIaaS for ORAN-based 6G Networks: Multi-time Scale Slice Resource Management with DRL
Suvidha Mhatre, Ferran Adelantado, Kostas Ramantas +1
This paper addresses how to handle slice resources for 6G networks at different time scales in an architecture based on an open radio access network (ORAN). The proposed solution i…
Energy-Efficient Intra-Domain Network Slicing for Multi-Layer Orchestration in Intelligent-Driven Distributed 6G Networks: Learning Generic Assignment Skills with Unsupervised Reinforcement Learning
Navideh Ghafouri, John S. Vardakas, Kostas Ramantas +1
Since the 6th Generation (6G) of wireless networks is expected to provide a new level of network services and meet the emerging expectations of the future, it will be a complex and…