Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks

Researchers propose using generative AI agents to create customized user plane processing blocks for 6G mobile networks based on text-based service requests. The study evaluates factors affecting AI code generation accuracy for network-specific tasks, finding that AI agents can successfully generate desired processing functions under suitable conditions.

• →Generative AI agents can generate custom code for user plane traffic processing in 6G networks based on natural language requests.
• →The approach enables dynamic creation of processing blocks that can inspect, decode, and act on protocol data units for vertical applications.
• →Code generation accuracy depends on model selection, prompt design, and provision of appropriate code templates.
• →This technology could make 6G networks more autonomous, flexible, and adaptive compared to previous generations.
• →The research demonstrates potential for on-demand network capability generation through AI-powered code creation.