Challenges and fundamental theoretical problems of super-converged generative information network

Super-converged generative information network (SoGIN) envisions the integration of human-physical and digital networks, with development requirements centered on space-air-ground integration, computing-storage-sensing-intelligence integration, and availability-reliability-trustworthiness integration. Following the new development paradigm of decoupling network support environments from application network systems, SoGIN would build an AI-empowered, highly integrated, efficiently collaborative, trustworthy intelligent information network system based on the deep integration of digital-operation-information-communication technology (DOICT). This provides the foundational support environment for realizing 6G visions. This paper discusses the challenges and fundamental theoretical issues faced by the development of SoGIN. Firstly, the development vision and demands of SoGIN are elaborated. Then, the theoretical and technical challenges in achieving the vision of SoGIN are analyzed. Finally, related theoretical and technical practices about polymorphic network environments, cloud-native-based super-converged network infrastructures, new cybersecurity paradigm, cyberspace resilience empowered by endogenous security and safety (ESS), and the physical foundation of next-generation digital systems technology based on wafer-level computing are described.