Samsung electronics co., ltd. (20240205116). METHOD AND APPARATUS FOR PROCESSING TRAFFIC BY USING ARTIFICIAL INTELLIGENCE MODEL IN WIRELESS COMMUNICATION SYSTEM simplified abstract

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METHOD AND APPARATUS FOR PROCESSING TRAFFIC BY USING ARTIFICIAL INTELLIGENCE MODEL IN WIRELESS COMMUNICATION SYSTEM

Organization Name

samsung electronics co., ltd.

Inventor(s)

Sunhyun Kim of Gyeonggi-do (KR)

Jiyoung Cha of Gyeonggi-do (KR)

Sangho Lee of Gyeonggi-do (KR)

Dongmyung Kim of Gyeonggi-do (KR)

METHOD AND APPARATUS FOR PROCESSING TRAFFIC BY USING ARTIFICIAL INTELLIGENCE MODEL IN WIRELESS COMMUNICATION SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240205116 titled 'METHOD AND APPARATUS FOR PROCESSING TRAFFIC BY USING ARTIFICIAL INTELLIGENCE MODEL IN WIRELESS COMMUNICATION SYSTEM

The present disclosure pertains to a 5G or 6G communication system that supports higher data rates compared to a 4G system like LTE. A method executed by a User Plane Function (UPF) node in a wireless communication system involves receiving multiple traffic packets, identifying encrypted traffic packets, determining frame type information using an embedded Artificial Intelligence (AI) model, identifying Quality of Service (QoS) flow based on the frame type information, and transmitting the traffic packets based on the identified QoS flow.

  • The innovation involves utilizing an AI model embedded in the UPF node to identify frame type information of encrypted traffic packets.
  • The system can determine the QoS flow corresponding to the traffic packets based on the identified frame type information.
  • This technology enables the transmission of traffic packets based on the identified QoS flow, ensuring efficient data delivery in a wireless communication system.
  • By supporting higher data rates beyond 4G systems like LTE, this innovation enhances the overall performance and capacity of communication networks.
  • The use of AI in the UPF node streamlines the process of handling traffic packets and optimizing Quality of Service in a wireless communication environment.

Potential Applications: - This technology can be applied in advanced 5G and future 6G communication systems to enhance data transmission efficiency. - It can be utilized in IoT devices, autonomous vehicles, and smart city infrastructure to support high-speed data communication.

Problems Solved: - Efficient handling of encrypted traffic packets in a wireless communication system. - Optimization of Quality of Service flow based on frame type information. - Support for higher data rates beyond existing 4G systems.

Benefits: - Improved data transmission efficiency and network performance. - Enhanced Quality of Service for different types of traffic packets. - Future-proofing communication systems for upcoming 6G technologies.

Commercial Applications: Title: Enhanced Data Transmission Technology for 5G and 6G Communication Systems This technology can be commercially used by telecommunication companies, IoT device manufacturers, and smart city developers to improve data transmission capabilities in advanced communication networks.

Questions about Enhanced Data Transmission Technology for 5G and 6G Communication Systems:

1. How does the use of an AI model in the UPF node improve the handling of traffic packets in a wireless communication system? 2. What are the potential commercial applications of this technology in the telecommunications industry?


Original Abstract Submitted

the present disclosure relates to a 5g communication system or a 6g communication system for supporting higher data rates beyond a 4g communication system such as long term evolution (lte). a method performed by a user plane function (upf) node in a wireless communication system includes receiving multiple traffic packets; identifying at least one encrypted traffic packet among the multiple traffic packets; identifying frame type information of the at least one traffic packet, based on an artificial intelligence (ai) model embedded in the upf; identifying a quality of service (qos) flow corresponding to at least one traffic packet, based on the identified frame type information; and transmitting the at least one traffic packet, based on the identified qos flow.