Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory

This paper investigates the control of a massive population of UAVs such as drones. The straightforward method of control of UAVs by considering the interactions among them to make a flock requires a huge inter-UAV communication which is impossible to implement in real-time applications. One method...

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Veröffentlicht in:	IEEE transactions on communications Jg. 68; H. 11; S. 6840 - 6857
Hauptverfasser:	Shiri, Hamid, Park, Jihong, Bennis, Mehdi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.11.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Autonomous UAV communication-efficient online path control Computer & video games Control methods Control theory Federated learning Game theory Mathematical model mean-field game Neural networks Real time Real-time systems Sociology Stability analysis Statistics Training Unmanned aerial vehicles
ISSN:	0090-6778, 1558-0857
Online-Zugang:	Volltext
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