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Muti-agent deep reinforcement learning

KAUST researchers propose a distributed coordination framework for heterogeneous non-terrestrial networks

2 min read · Wed, Nov 12 2025

Press Releases

NTN Communication Muti-agent deep reinforcement learning UAV communications HAPSs

First analyzed the unique characteristics of non-terrestrial networks (NTN) platforms with impact on network specification, and proposed an efficient distributed coordination framework for heterogeneous NTN, verified by a case study on IAB-enabled heterogeneous UAV networks.

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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