P2.49s Deep learning-based Low earth orbit (LEO) satellites task offloading and massive MIMO implementation

Advanced Satellite Systems, Sensors & Intelligence

Yue Cai, University of Sydney

This research focuses on how to perform task offloading in LEO satellites. When a task arrives at an LEO, LEO can process this task itself or offload it to another LEO. This decision is made by considering several constraints like latency, energy, and queue. Task offloading requires LEO satellites to cooperate and make decisions based on local information, which aligns with the priority research area of Trusted Autonomous Satellite Operations. Also, to enlarge the capacity of the satellite at the same time, we consider the implementation of massive MIMO in the current system.