TY - GEN
T1 - A Priority-Aware AI-Generated Content Resource Allocation Method for Multi-UAV Aided Metaverse
AU - Zhang, Zheng
AU - Wang, Jingjing
AU - Chen, Jianrui
AU - Fang, Zhengru
AU - Jiang, Chunxiao
AU - Han, Zhu
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - With the advancement of large model technologies, AI -generated content is gradually emerging as a mainstream method for content creation. The metaverse, as a key application scenario for the next-generation communication technologies, heavily depends on advanced content generation technologies. Nevertheless, the diverse types of metaverse applications and their stringent real-time requirements constrain the full potential of AIGC technologies within this environment. In order to tackle with this problem, we construct a priority-aware multi-UAV aided metaverse system and formulate it as a Markov decision process (MDP). We propose a diffusion-based reinforcement learning algorithm to solve the resource allocation problem and demonstrate its superiority through enough comparison and ablation experiments.
AB - With the advancement of large model technologies, AI -generated content is gradually emerging as a mainstream method for content creation. The metaverse, as a key application scenario for the next-generation communication technologies, heavily depends on advanced content generation technologies. Nevertheless, the diverse types of metaverse applications and their stringent real-time requirements constrain the full potential of AIGC technologies within this environment. In order to tackle with this problem, we construct a priority-aware multi-UAV aided metaverse system and formulate it as a Markov decision process (MDP). We propose a diffusion-based reinforcement learning algorithm to solve the resource allocation problem and demonstrate its superiority through enough comparison and ablation experiments.
KW - AI-generated content (AIGC)
KW - Unmanned aerial vehicle (UAV)
KW - diffusion model
KW - metaverse
KW - priority-aware
KW - reinforcement learning
UR - https://www.scopus.com/pages/publications/105006408540
U2 - 10.1109/WCNC61545.2025.10978443
DO - 10.1109/WCNC61545.2025.10978443
M3 - 会议稿件
AN - SCOPUS:105006408540
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2025 IEEE Wireless Communications and Networking Conference, WCNC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE Wireless Communications and Networking Conference, WCNC 2025
Y2 - 24 March 2025 through 27 March 2025
ER -