9 citations · 10 across the 4 of their papers we have counts for
4 papers
Cooperative Task Offloading through Asynchronous Deep Reinforcement Learning in Mobile Edge Computing for Future Networks
Yuelin Liu, Haiyuan Li, Xenofon Vasilakos +2
Future networks (including 6G) are poised to accelerate the realisation of Internet of Everything. However, it will result in a high demand for computing resources to support new s…
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…
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…
Incremental DRL-Based Resource Management for Dynamic Network Slicing in an Urban-Wide Testbed
Haiyuan Li, Yuelin Liu, Hari Madhukumar +6
Multi-access edge computing provides localized resources within mobile networks to address the requirements of emerging latency-sensitive and computing-intensive applications. At t…