The article discusses the ProSecutor design aimed at improving the quality of experience (QoE) for mobile AI-Generated Content (AIGC). It covers the architecture overview, the use of reputation roll-ups, and duplex transfer channels to enhance service efficiency. The framework incorporates an Objective Service Assessment (OS2A) that evaluates users' subjective experiences and integrates them into a dual-phase interaction process with mobile AIGC. The implementation and evaluation confirm ProSecutor's architectural superiority in meeting functional goals within mobile environments, making it a significant advance in AIGC service delivery.
In our experiments, ProSecutor significantly eases the MASP selection process by adapting to various user requirements, showcasing its effectiveness in real-world mobile environments.
The architectural design of ProSecutor enhances both service quality and user satisfaction in mobile networks, illustrating a significant improvement over traditional methods.
Through reputation-based MASP selection, clients can communicate subjective preferences efficiently, allowing ProSecutor to optimize AIGC output based on personalized evaluations and standards.
By implementing a contract theoretic payment scheme, we ensure transparent interactions between clients and service providers, establishing trust and reliability within the AIGC market.
#mobile-aigc #quality-of-experience #reputation-management #blockchain-in-mobile-networks #service-assessment
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