Joint DNN Partitioning and Resource Allocation for Satellite-Terrestrial Collaborative Inference Systems
This letter investigates a satellite-terrestrial collaborative inference system for remote sensing information processing, where a ground station (GS) serves multiple low Earth orbit (LEO) satellites running heterogeneous deep neural network (DNN) inference tasks, and proposes a two-layer optimization algorithm.