Search

AI Network Applications

AI Network Applications

Leadership

Co-Chairs: John Strassner, Futurewei
Technical Lead: Carroll Gray-Preston, ATIS

AI Network Applications

Generative AI is poised to transform customer experiences across industries, including telecommunications. In the telecom domain, generative AI can enable more intuitive, efficient, and personalized service delivery for end-users, while also helping service providers enhance network performance, reliability, and security.

To explore these opportunities, a focused initiative was launched in October 2023 to advance the application of generative AI across telecom networks. The group is currently prioritizing two key areas:

  • Wireless Physical-Layer Foundation Model (WPFM): Aims to create a semantic understanding of the physical wireless environment, enabling networks to adapt intelligently based on real-time conditions and user intent, laying the groundwork for truly cognitive, AI-native wireless systems.
  • Cognitive Assistant for Network Operators: Combines neural networks and knowledge graphs to deliver explainable, secure, and proactive network intelligence. The assistant analyzes real-time data, performance metrics, and historical patterns to generate actionable recommendations for network optimization, fault prediction, and resource management, while maintaining a strong focus on safety and compliance.

These initiatives are designed to bridge the gap between current AI capabilities and the demands of next-generation telecom infrastructure, ensuring both innovation and operational integrity.