Optimizing Information Propagation for Blockchain-empowered Mobile AIGC: A Graph Attention Network Approach
Jiana Liao, Jinbo Wen, Jiawen Kang, Yang Zhang, Jianbo Du, Qihao Li, Weiting Zhang, Dong Yang
TL;DR
The paper tackles the latency of information propagation in blockchain-empowered mobile AIGC by introducing Age of Information ($AoI$) as the data-freshness metric and modeling propagation over a miner network. It proposes a Graph Attention Network (GAT) based encoder-decoder framework to learn the optimal propagation trajectory that minimizes the total $AoI$, using an $M/M/1$-based formulation for link delays and Shannon-derived transmission times. The contributions include formal AoI-based problem formulation, a novel GAT architecture with detailed encoder/decoder designs, and a training method based on a gradient estimator to optimize the expected propagation cost $L(\boldsymbol{\pi}|G)$. Numerical results show that the GAT approach yields substantial $AoI$ reductions compared with Greedy and Gossip baselines, demonstrating improved information freshness and propagation efficiency in public blockchain networks supporting mobile AIGC. The work has practical impact for latency-sensitive AIGC services by enabling more efficient, secure, and scalable blockchain-mediated data management in edge-enabled environments.
Abstract
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.