Enhancing Mega-Satellite Networks With Generative Semantic Communication: A Networking Perspective

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 integration of GSC into mega-satellite constellations from a networking perspective. We propose a GSC-empowered satellite networking architecture and identify key enabling technologies, focusing on GSC-empowered network modeling and GSC-aware networking strategies. We construct a discrete temporal graph to model semantic encoders and decoders, distinct knowledge bases, and resource variations in mega-satellite networks. Based on this framework, we develop model deployment for semantic encoders and decoders and GSC-compatible routing schemes, and then present performance evaluations. Finally, we outline future research directions for advancing GSC-empowered satellite networks.

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Publication Details

Journal
IEEE Wireless Communications
Published
2025-10-17
DOI
https://doi.org/10.1109/mwc.2025.3596938
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Enhancing Mega-Satellite Networks With Generative Semantic Communication: A Networking Perspective

Zehui Xiong, Baosheng Li, Tony Q. S. Quek, Rahim Tafazolli et al.
IEEE Wireless Communications
Satellite Communication Systems
article

Enhancing Mega-Satellite Networks With Generative Semantic Communication: A Networking Perspective

Zehui Xiong, Baosheng Li, Tony Q. S. Quek, Rahim Tafazolli, Zhu Han, Binquan Guo, Wanting Yang, Zhou Zhang
article en

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 integration of GSC into mega-satellite constellations from a networking perspective. We propose a GSC-empowered satellite networking architecture and identify key enabling technologies, focusing on GSC-empowered network modeling and GSC-aware networking strategies. We construct a discrete temporal graph to model semantic encoders and decoders, distinct knowledge bases, and resource variations in mega-satellite networks. Based on this framework, we develop model deployment for semantic encoders and decoders and GSC-compatible routing schemes, and then present performance evaluations. Finally, we outline future research directions for advancing GSC-empowered satellite networks.

IEEE Wireless CommunicationsVol. 33(2)
Queen's University Belfast (GB), Xidian University (CN), Singapore University of Technology and Design (SG), Hunan University (CN), University of Surrey (GB), University of Houston (US)
National Science Foundation, National Research Foundation, National Research Foundation Singapore, National Natural Science Foundation of China, China Scholarship Council, Info-communications Media Development Authority, Japan Science and Technology Agency, Division of Civil, Mechanical and Manufacturing Innovation, Division of Electrical, Communications and Cyber Systems
Openalex Percentile: Top 61%
Satellite Communication Systems
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