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.