TY - GEN
T1 - Poster
T2 - 31st Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2025
AU - Wang, Hengtao
AU - Zhou, Huan
AU - Wang, Zhenning
AU - Fan, Xinggang
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/11/21
Y1 - 2025/11/21
N2 - The advent of 6G and the Metaverse has created a need for efficient real-time data processing and low-overhead communication. To address this challenge, we propose SemCom-MN, a semantic communication-enhanced Metaverse framework integrating an Edge Service Provider (ESP), Edge Sensing Units (ESUs), and Virtual Service Providers (VSPs). ESUs capture physical-world data, ESP manages semantic information, and VSPs create immersive virtual environments. To improve utility under heterogeneous information and computational requirements, we model semantic information trading as a three-stage Stackelberg game and prove the existence of a Nash equilibrium. Furthermore, to overcome high-dimensional dynamics and slow convergence in semantic trading, we develop a Diffusion Game Algorithm (DGA) combining strategic exploration with a game-theoretic denoising mechanism, achieving robust convergence. Simulation results show DGA increases system utility by 8.49%–33.94%.
AB - The advent of 6G and the Metaverse has created a need for efficient real-time data processing and low-overhead communication. To address this challenge, we propose SemCom-MN, a semantic communication-enhanced Metaverse framework integrating an Edge Service Provider (ESP), Edge Sensing Units (ESUs), and Virtual Service Providers (VSPs). ESUs capture physical-world data, ESP manages semantic information, and VSPs create immersive virtual environments. To improve utility under heterogeneous information and computational requirements, we model semantic information trading as a three-stage Stackelberg game and prove the existence of a Nash equilibrium. Furthermore, to overcome high-dimensional dynamics and slow convergence in semantic trading, we develop a Diffusion Game Algorithm (DGA) combining strategic exploration with a game-theoretic denoising mechanism, achieving robust convergence. Simulation results show DGA increases system utility by 8.49%–33.94%.
KW - Diffusion Model
KW - Incentive Mechanism
KW - Information Trading
KW - Metaverse
KW - Semantic Communication
UR - https://www.scopus.com/pages/publications/105023824388
U2 - 10.1145/3680207.3765657
DO - 10.1145/3680207.3765657
M3 - 会议稿件
AN - SCOPUS:105023824388
T3 - ACM MobiCom 2025 - Proceedings of the 2025 the 31st Annual International Conference on Mobile Computing and Networking
SP - 1272
EP - 1274
BT - ACM MobiCom 2025 - Proceedings of the 2025 the 31st Annual International Conference on Mobile Computing and Networking
PB - Association for Computing Machinery, Inc
Y2 - 4 November 2025 through 8 November 2025
ER -