2024/08/28 by Soret, Beatriz, Leyva-Mayorga, Israel, Mercado-Martínez, Antonio M. +6 · 1 citation
#FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI)
paper · doi:10.48550/arxiv.2408.15639
The integration of Semantic Communications (SemCom) and edge computing in space networks enables the optimal allocation of the scarce energy, computing, and communication resources for data-intensive applications. We use Earth Observation (EO) as a canonical functionality of satellites and review its main characteristics and challenges. We identify the potential of the space segment, represented by a low Earth orbit (LEO) satellite constellation, to serve as an edge layer for distributed intelligence. Based on that, propose a system architecture that supports semantic and goal-oriented applications for image reconstruction and object detection and localization. The simulation results show the intricate trade-offs among energy, time, and task-performance using a real dataset and State-of-the-Art (SoA) processing and communication parameters.