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A QoE-Driven Personalized Incentive Mechanism Design for AIGC Services in Resource-Constrained Edge Networks
Hongjia Wu, Minrui Xu, Zehui Xiong +4
With rapid advancements in large language models (LLMs), AI-generated content (AIGC) has emerged as a key driver of technological innovation and economic transformation. Personaliz…
Exploring Equilibrium Strategies in Network Games with Generative AI
Yaoqi Yang, Hongyang Du, Geng Sun +3
Game theory offers a powerful framework for analyzing strategic interactions among decision-makers, providing tools to model, analyze, and predict their behavior. However, implemen…
Generative AI for Game Theory-based Mobile Networking
Long He, Geng Sun, Dusit Niyato +5
With the continuous advancement of network technology, various emerging complex networking optimization problems have created a wide range of applications utilizing game theory. Ho…
Task Freshness-aware Incentive Mechanism for Vehicle Twin Migration in Vehicular Metaverses
Jinbo Wen, Jiawen Kang, Zehui Xiong +4
Vehicular metaverse, which is treated as the future continuum between automotive industry and metaverse, is envisioned as a blended immersive domain as the digital twins of intelli…
Learning-based Incentive Mechanism for Task Freshness-aware Vehicular Twin Migration
Junhong Zhang, Jiangtian Nie, Jinbo Wen +4
Vehicular metaverses are an emerging paradigm that integrates extended reality technologies and real-time sensing data to bridge the physical space and digital spaces for intellige…
Vision-based Semantic Communications for Metaverse Services: A Contest Theoretic Approach
Guangyuan Liu, Hongyang Du, Dusit Niyato +3
The popularity of Metaverse as an entertainment, social, and work platform has led to a great need for seamless avatar integration in the virtual world. In Metaverse, avatars must…