Training Machine Learning models at the Edge: A Survey
Edge Computing (EC) has gained significant traction in recent years, promising enhanced
efficiency by integrating Artificial Intelligence (AI) capabilities at the edge. While the focus …
efficiency by integrating Artificial Intelligence (AI) capabilities at the edge. While the focus …
Supporting UAVs with Edge Computing: A Review of Opportunities and Challenges
Over the last years, Unmanned Aerial Vehicles (UAVs) have seen significant advancements
in sensor capabilities and computational abilities, allowing for efficient autonomous …
in sensor capabilities and computational abilities, allowing for efficient autonomous …
Hybrid Deep Reinforcement Learning for Enhancing Localization and Communication Efficiency in RIS-Aided Cooperative ISAC Systems
In this paper, we propose a novel framework that combines simultaneous localization and
communication (SLAC) using a reconfigurable intelligent surface (RIS) aided integrated …
communication (SLAC) using a reconfigurable intelligent surface (RIS) aided integrated …
DRL-Based Robust Transmission for Sub-Connected Active RIS-Assisted Communications
This work investigates the performance of a sub-connected active reconfigurable intelligent
surface (RIS)-assisted communications under imperfect channel state information (CSI). To …
surface (RIS)-assisted communications under imperfect channel state information (CSI). To …