The 24th IEEE International Symposium on Parallel and Distributed Processing with Applications
(IEEE ISPA 2026)

GAI4Net 2026: IEEE ISPA 2026 Special Session on Generative AI for 6G Networks

In 5G or pre-5G networks, Artificial Intelligence (AI), as an auxiliary tool, has been widely applied in wireless network channel modeling, traffic analysis, and resource optimization to enhance network efficiency. Currently, wireless networks are evolving toward the Sixth Generation of Mobile Networks (6G), which imposes higher demands on speed, latency, reliability, and connection density. However, traditional AI technologies exhibit multidimensional shortcomings in meeting the performance requirements of 6G networks, such as low integration with network architecture, insufficient adaptability to network performance, and scarcity of computation/data resources. These limitations hinder 6G network evolve toward an “AI-native network”. Generative AI (GAI), as a key empowering technology, offers new solutions to address these challenges. GAI for network leverages advanced technologies such as Large Language Models (LLM), intelligent agents, and world models to achieve deep integration of AI and networks. Its goal is to evolve networks from “data transmission channels” into “intelligent agents”capable of generation, comprehension, and reasoning, thereby enhancing network performance, user service experience, and industrial ecosystem expansion.
Although GAI has achieved significant success, it has encountered a series of challenges during the integration with 6G, such as network architecture design, high computational resource demand, complex heterogeneous agents collaboration, and the construction of network world models. Addressing these challenges is crucial for unleashing the full potential of GAI in shaping 6G networks. The goal of this workshop is to gather experts, scholars, and industry professionals from academia, industry, and government to discuss state-of-the-art approaches, methodologies, and technologies enabling efficient and practical GAI towards the realization of 6G.

We invite submissions from academia, government and industry that present novel research on the topics as following areas: