Optimizing Information Propagation for Blockchain-empowered Mobile AIGC: A Graph Attention Network Approach

Artificial Intelligence-Generated Content (AIGC) is a rapidly evolving field that utilizes advanced AI algorithms to generate content. Through integration with mobile edge networks, mobile AIGC networks have gained significant attention, which can provide real-time customized and personalized AIGC services and products. Since blockchains can facilitate decentralized and transparent data management, AIGC products can be securely managed by blockchain to avoid tampering and plagiarization. However, the evolution of blockchain-empowered mobile AIGC is still in its nascent phase, grappling with challenges such as improving information propagation efficiency to enable blockchain-empowered mobile AIGC. In this paper, we design a Graph Attention Network (GAT)-based information propagation optimization framework for blockchain-empowered mobile AIGC. We first innovatively apply age of information as a data-freshness metric to measure information propagation efficiency in public blockchains. Considering that GATs possess the excellent ability to process graph-structured data, we utilize the GAT to obtain the optimal information propagation trajectory. Numerical results demonstrate that the proposed scheme exhibits the most outstanding information propagation efficiency compared with traditional routing mechanisms.

I. Introduction

Artificial Intelligence-Generated Content (AIGC) emerges as a pioneering technique [1], positioned at the vanguard of technological innovation. It spearheads a transformative wave in the content creation landscape by leveraging sophisticated natural language processing and machine learning technologies. Departing from traditional manual content generation, AIGC signifies a paradigmatic shift in how AI perceives and produces digital content [1], spanning across diverse mediums such as text, images, and audio. However, the current centralized AIGC framework encounters challenges like service latency [2]. To address this challenge, the convergence of AIGC with mobile edge networks has given rise to mobile AIGC networks [1], [3], which can not only mitigate service latency issues but also ensure that users benefit from more responsive and tailored content suggestions.