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Challenges and fundamental theoretical problems of super-converged generative information network
Jiangxing Wu1,2,3, Xinsheng Ji2,3, Kaizhi Huang2
1Institute of Big Data, Fudan University, Shanghai 200433, China.
Fundamental Research
|August 1, 2026
Summary
Super-converged generative information network (SoGIN) integrates physical and digital systems for 6G realization. It addresses challenges in space-air-ground integration, computing, and trustworthiness for an AI-empowered network.
Area of Science:
- Computer Science
- Information Technology
- Telecommunications Engineering
Background:
- The concept of Super-converged Generative Information Network (SoGIN) emerges as a paradigm for integrating human-physical and digital networks.
- Development demands include space-air-ground integration, computing-storage-sensing-intelligence convergence, and availability-reliability-trustworthiness integration.
- SoGIN aims to decouple network support environments from application systems, fostering an AI-empowered, highly integrated, and trustworthy intelligent information network.
Purpose of the Study:
- To elaborate on the development vision and demands of SoGIN.
- To analyze the theoretical and technical challenges hindering SoGIN's realization.
- To describe related theoretical and technical practices crucial for SoGIN's implementation.
Main Methods:
- Analysis of SoGIN's development vision and requirements.
- Identification and discussion of theoretical and technical challenges.
- Review of enabling technologies including polymorphic networks, cloud-native infrastructures, advanced cybersecurity, cyberspace resilience, and wafer-level computing.
Main Results:
- Elaboration of SoGIN's vision and specific integration requirements.
- Detailed analysis of key challenges in achieving a super-converged network.
- Introduction of foundational practices for next-generation digital systems and network resilience.
Conclusions:
- SoGIN provides a foundational support environment for realizing 6G visions through deep integration of digital-operation-information-communication technology (DOICT).
- Addressing identified challenges requires advancements in polymorphic network environments, cloud-native infrastructures, cybersecurity, and physical computing foundations.
- The paper outlines a path towards an AI-empowered, trustworthy intelligent information network by tackling fundamental theoretical and technical issues.
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