Enhancing Mega-Satellite Networks with Generative Semantic Communication: A Networking Perspective
Binquan Guo, Wanting Yang, Zehui Xiong, Zhou Zhang, Baosheng Li, Zhu Han, Rahim Tafazolli, and Tony Q. S. Quek

TL;DR
This paper explores integrating Generative Semantic Communication into mega-satellite networks to address bandwidth and capacity challenges, proposing a new architecture and strategies for improved global connectivity.
Contribution
It introduces a GSC-empowered satellite networking architecture, modeling techniques, and routing strategies to enhance satellite communication efficiency.
Findings
GSC reduces bandwidth consumption in satellite networks
The proposed model improves semantic feature transmission
Routing schemes enhance network performance
Abstract
The advance of direct satellite-to-device communication has positioned mega-satellite constellations as a cornerstone of 6G wireless communication, enabling seamless global connectivity even in remote and underserved areas. However, spectrum scarcity and capacity constraints imposed by the Shannon's classical information theory remain significant challenges for supporting the massive data demands of multimedia-rich wireless applications. Generative Semantic Communication (GSC), powered by artificial intelligence-based generative foundation models, represents a paradigm shift from transmitting raw data to exchanging semantic meaning. GSC can not only reduce bandwidth consumption, but also enhance key semantic features in multimedia content, thereby offering a promising solution to overcome the limitations of traditional satellite communication systems. This article investigates the…
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Taxonomy
TopicsSatellite Communication Systems · Opportunistic and Delay-Tolerant Networks · Age of Information Optimization
