Samsung electronics co., ltd. (20240323125). APPARATUS AND METHOD FOR SELECTING ENTITY BASED ON DATA simplified abstract

APPARATUS AND METHOD FOR SELECTING ENTITY BASED ON DATA

Organization Name

samsung electronics co., ltd.

Inventor(s)

Bokkeun Kim of Suwon-si (KR)

Gyeongsik Kim of Suwon-si (KR)

Yongjun Park of Suwon-si (KR)

Jongsun Oh of Suwon-si (KR)

Heonhyung Lee of Suwon-si (KR)

Jin Kim of Suwon-si (KR)

Hyeongyo Jeong of Suwon-si (KR)

Byounggeun Choi of Suwon-si (KR)

Jaehyuk Choi of Suwon-si (KR)

APPARATUS AND METHOD FOR SELECTING ENTITY BASED ON DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240323125 titled 'APPARATUS AND METHOD FOR SELECTING ENTITY BASED ON DATA

The abstract describes an electronic device for session management that utilizes an artificial intelligence model to select a serving user plane function (UPF) based on load values.

• The device obtains load values for UPFs within different time intervals.
• It calculates the difference between the load values to determine whether to use predicted load values for UPFs to select the serving UPF.
• The device aims to optimize the selection of the serving UPF based on load information.

Potential Applications: - Telecommunications networks - Cloud computing systems - Network traffic management

Problems Solved: - Efficient selection of serving UPF based on load values - Optimization of network resources - Enhanced user experience

Benefits: - Improved network performance - Reduced latency - Enhanced scalability

Commercial Applications: Title: "AI-Driven Session Management Device for Telecommunications Networks" This technology can be used in telecommunications companies to optimize network performance and enhance user experience, leading to increased customer satisfaction and loyalty.

Prior Art: Researchers can explore prior patents related to session management devices in telecommunications networks, load balancing algorithms, and artificial intelligence models for network optimization.

Frequently Updated Research: Researchers are constantly developing new AI models and algorithms to improve session management in telecommunications networks. Stay updated on the latest advancements in load balancing and network optimization techniques.

Questions about AI-Driven Session Management Device for Telecommunications Networks: 1. How does the device determine the predicted load values for UPFs? The device calculates predicted load values based on an artificial intelligence model using historical load information of UPFs. 2. What are the key factors considered in selecting the serving UPF based on load values? The device considers the difference between load values and the predicted load values to determine the optimal serving UPF.

Original Abstract Submitted

an electronic device for a session management function (smf) may comprise memory storing instructions and at least one processor. the instructions may cause the electronic device to: obtain a first load value for a second time interval before selecting a serving user plane function (upf), estimated based on an artificial intelligence model (ai model) using first load information of each of upfs measured within a first time interval before the second time interval, obtain a second load value for the second time interval, calculated by using second load information of each of the upfs measured within the second time interval, determine a difference between the first load value and the second load value, and determine, using the difference, whether to use a predicted load value of each of the upfs obtained based on the ai model to select the serving upf from among the upfs.