UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach

Avatars, as promising digital representations and service assistants of users in Metaverses, can enable drivers and passengers to immerse themselves in 3D virtual services and spaces of UAV-assisted vehicular Metaverses. However, avatar tasks include a multitude of human-to-avatar and avatar-to-avat...

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Veröffentlicht in:	IEEE/CAA journal of automatica sinica 2024-02, Vol.11 (2), p.430-445
Hauptverfasser:	Kang, Jiawen, Chen, Junlong, Xu, Minrui, Xiong, Zehui, Jiao, Yutao, Han, Luchao, Niyato, Dusit, Tong, Yongju, Xie, Shengli
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Augmented reality Avatars Cryptography Deep learning Design optimization Edge computing Markov processes Multiagent systems Roadsides Unmanned aerial vehicles
Online-Zugang:	Volltext
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