Abstract
The space-air-ground collaborative computing networks (SAGCCN) are promising in providing full connectivity for 5G-Advanced and 6G-driven IoT applications. In particular, the SAGCCN can flexibly integrate the communication and computation resources from terrestrial to the sky, thus providing a viable solution for seamless communication and computation services for massive IoT applications. This article discusses the intelligent technologies required to enable full intelligence in data collection and offloading in SAGCCN. In particular, several machine learning-based trajectory planning scenarios are discussed in detail. Finally, this article explores the challenges and future research opportunities in the area of aerial computing.
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