6G SAGIN Information Transmission Model

Yuexia Zhang, Xinyi Wang, Yuanshuo Gang, Jian Wang, Sheng Wu, Peiying Zhang, Yuanming Shi

Abstract: The 6G mobile communication network leverages space-air-ground integrated network (SAGIN) technology to achieve wide-area wireless communication coverage. It is characterized by dynamically changing topologies, heterogeneity, complexity, and massive information transmission. Furthermore, it supports a variety of diverse new 6G applications, such as AR/VR, autonomous driving, and holographic communication. However, this complexity and diversity may lead to network congestion, increased interference, and other issues. To address these issues, this article explores a space-air-ground integrated information transmission model for 6G based on transmission dynamics. This model initially classifies the types of propagation information according to the collaborative relationships between satellites, unmanned aerial vehicles, user devices, and wireless communication base stations. It then establishes a multi-layer information transmission model for these different types of information in the 6G SAGIN using the theory of information transmission dynamics based on complex networks. Additionally, it incorporates parameters such as the degree of network nodes, link relationships, and interference into the state transition of propagating information. This approach is used to uncover the complex impacts of information transmission, node degrees, link relationships, and interference factors within the 6G SAGIN, ensuring the successful propagation of information. Finally, the article discusses the research challenges and unresolved issues in integrating transmission dynamics into the 6G SAGIN, including network modeling and architecture analysis.

External IDs:dblp:journals/cm/ZhangWGWWZS25