Distributed deep reinforcement learning framework for software-defined unmanned aerial vehicle network control
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United States of America
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Feb 18, 2025
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Jun 20, 2024
app pub date -
Jun 22, 2022
filing date -
Jun 22, 2022
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Abstract
Provided herein are systems for controlling a network of distributed non-terrestrial nodes including a control framework operative to train and control a plurality of the non-terrestrial nodes, the control framework including a control interface in communication with a network operator to receive one or more specified control objectives, and a learning engine operative to train a virtual non-terrestrial network, wherein the control framework is further operative to transfer knowledge gained through the training of the virtual non-terrestrial network to the network of distributed non-terrestrial nodes as data-driven logic unit configurations tailored for the specified control objectives.
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