18628095. METHOD AND APPARATUS FOR IDENTIFYING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FUNCTIONS/MODELS IN MOBILE COMMUNICATION SYSTEMS simplified abstract (Electronics and Telecommunications Research Institute)

METHOD AND APPARATUS FOR IDENTIFYING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FUNCTIONS/MODELS IN MOBILE COMMUNICATION SYSTEMS

Organization Name

Electronics and Telecommunications Research Institute

Inventor(s)

Han Jun Park of Daejeon (KR)

Yong Jin Kwon of Daejeon (KR)

An Seok Lee of Daejeon (KR)

Heesoo Lee of Daejeon (KR)

Yun Joo Kim of Daejeon (KR)

Hyun Seo Park of Daejeon (KR)

Jung Bo Son of Daejeon (KR)

Yu Ro Lee of Daejeon (KR)

METHOD AND APPARATUS FOR IDENTIFYING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FUNCTIONS/MODELS IN MOBILE COMMUNICATION SYSTEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18628095 titled 'METHOD AND APPARATUS FOR IDENTIFYING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FUNCTIONS/MODELS IN MOBILE COMMUNICATION SYSTEMS

The abstract describes a method for identifying AI/ML functionality and models supported for mobile communication in a mobile communication system. The method involves the base station delivering dataset identification information to the user equipment (UE), and the UE reporting valid AI/ML-related UE capability for the dataset to the base station.

• The method focuses on identifying AI/ML functionality and models for mobile communication systems.
• Dataset identification information is delivered from the base station to the UE.
• The UE reports valid AI/ML-related UE capability for the dataset to the base station.

Potential Applications: - Enhancing AI/ML capabilities in mobile communication systems. - Improving data processing and analysis in mobile networks.

Problems Solved: - Efficient identification of AI/ML functionality and models in mobile communication systems. - Streamlining communication between base stations and user equipment.

Benefits: - Enhanced performance and efficiency of AI/ML applications in mobile networks. - Improved data processing and analysis capabilities.

Commercial Applications: Title: "Enhancing AI/ML Functionality in Mobile Communication Systems" This technology can be used in telecommunications companies to optimize AI/ML models for mobile networks, improving overall performance and user experience.

Questions about AI/ML functionality in mobile communication systems: 1. How does this method improve the efficiency of AI/ML applications in mobile networks? - This method streamlines the identification and reporting of AI/ML-related capabilities, leading to enhanced performance and data analysis in mobile communication systems. 2. What are the potential implications of this technology for the future of mobile communication systems? - This technology has the potential to revolutionize the way AI/ML models are utilized in mobile networks, leading to improved efficiency and user experience.

Original Abstract Submitted

A method of identifying an artificial intelligence (AI)/machine learning (ML) functionality and model supported for mobile communication operated in a mobile communication system including a base station and one or more user equipments (UEs), the method comprising: delivering, from the base station, dataset identification information regarding at least one dataset to the UE; and reporting, by the UE, valid AI/ML-related UE capability for the at least one dataset corresponding to the dataset identification information to the base station.