AI RESEARCH

iSatCR: Graph-Empowered Joint Onboard Computing and Routing for LEO Data Delivery

arXiv CS.LG

ArXi:2603.18539v1 Announce Type: cross Sending massive Earth observation data produced by low Earth orbit (LEO) satellites back to the ground for processing consumes a large amount of on-orbit bandwidth and exacerbates the space-to-ground link bottleneck. Most prior work has concentrated on optimizing the routing of raw data within the constellation, yet cannot cope with the surge in data volume. Recently, advances in onboard computing have made it possible to process data in situ, thus significantly reducing the data volume to be transmitted.