Semantic and goal-oriented edge computing for satellite Earth Observation
<|reference_start|>Semantic and goal-oriented edge computing for satellite Earth Observation: 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.<|reference_end|>
@article{soret2024semantic,
    title={Semantic and goal-oriented edge computing for satellite Earth
  Observation},
    author={Beatriz Soret, Israel Leyva-Mayorga, Antonio M. Mercado-Mart'inez,
  Marco Moretti, Antonio Jurado-Navas, Marc Martinez-Gost, Celia S'anchez de
  Miguel, Ainoa Salas-Prendes, and Petar Popovski},
    journal={arXiv preprint arXiv:2408.15639},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.15639},
    primaryClass={cs.NI}
}