专利检索 ap:("Northeastern University") AND inv:"Hai CHENG" 第 1 页

1.

发明公开
Distributed Deep Reinforcement Learning Framework for Software-Defined Unmanned Aerial Vehicle Network Control 审中-公开

公开(公告)号：US20240205095A1

公开(公告)日：2024-06-20

申请号：US17846197

申请日：2022-06-22

申请人： Northeastern University

发明人： Lorenzo BERTIZZOLO , Tommaso MELODIA , Salvatore D'ORO , Hai CHENG

IPC分类号： H04L41/122 , H04W84/06

CPC分类号： H04L41/122 , H04W84/06

摘要： 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.