Electronics and Telecommunications Research Institute

Seung-Ik Lee

Myung Ki Shin

Soohwan Lee

Sung-Hoon Kim

Sung Hoon Kim

Chae Kyu Kim

Yun Kyung Park

Inhak Joo

RockWon Kim

Rock-Won Kim

Jun-Yong Sung

A machine learning (ML) model management method for a network data analytics function (NWDAF) device is disclosed. The NWDAF device performs at least one of an analytics logical function (AnLF) for network data and an ML model training logical function (MTLF).

Management method of machine learning model for network data analytics function device

Provided are a method for SFC support of EDGEAPP and a device for performing the same. A service function chain support method according to an example embodiment includes receiving a service routing configuration request, constructing a service routing path in response to the service routing configuration request, and controlling forwarding of traffic by successively invoking service APIs configuring the service routing path.

Method for SFC support of EDGEAPP and device for performing the same

A method of performing dynamic edge application server (EAS) instantiation triggering and an apparatus for performing the method are provided. The method of performing dynamic EAS triggering includes triggering dynamic EAS instantiation in response to an EAS discovery subscription request, transmitting a report on a need of instantiation of a target EAS, and transmitting a result of the target EAS instantiation to an edge enabler server (EES) that transmits the EAS discovery subscription request.

Method of performing dynamic edge application server (EAS) instantiation triggering and apparatus for performing the same

A network data collection method from application function device for network data analytic function is disclosed. The network data collection method includes transmitting a Naf_EventExposure_Subscribe message for a subscription of an event into an application function (AF) device; and receiving a Naf_EventExposure_Notify message from the AF device when the NWDAF subscribes the event.

Network data collection method from application function device for network data analytic function

An interworking method between 5G multi-access edge computing (MEC) platforms using a common application programming interface framework (CAPIF) is disclosed. The MEC platform interworking method includes requesting an European telecommunications standards institute (ETSI) MEC to discover a MEC service by an edge enabler server (EES), in response to a request of an edge application server (EAS), obtaining, by the EES, information of a matched MEC service in response to the request of the EAS from the ETSI MEC, and transmitting the information of the matched MEC service by the EES such that the EAS invokes a MEC service provided by the ETSI MEC.

Interworking method between different 5G multi-access edge computing (MEC) platforms using common application programing interface framework (CAPIF)

Disclosed are a non-IP data delivery (NIDD) authorization update method and connection release method for the non-IP data delivery and device for performing the method. The NIDD authorization update method is initiated by a UDM device, and the connection release method between a SMF device and a NEF device is initiated by the SMF device or the NEF device.

Non-IP data delivery authorization update method and connection release method for non-IP data delivery, and device for performing the method

Provided is a method of optimizing a network data analytics function device is disclosed. In the optimization method, the network data analytics function device may collect network data according to a request for analysis of network data received from the consumer network function device, and provide analytics information, which is a result of analyzing the network data, to the consumer network function device. The network data analytics function device may receive a feedback on the analytics information from the consumer network function device, and adjust a method of analyzing network data based on the feedback.

Optimization of network data analysis device

A network data collection method from network function device for network data analytic function is disclosed. The network data collection method includes transmitting a Nnf_EventExposure_Subscribe message to subscribe for an event into the NF device; and receiving a Nnf_EventExposure_Notify message from the NF device, wherein, when a subscription for the event is already defined in the NF device, the subscription is updated or modified.

Network data collection method from network function device for network data analytic function

Provided is a communication method and apparatus using network slicing. A communication method of a communication apparatus performing communication with a user equipment receives a predetermined request from the user equipment, selects a single network slice instance to be allocated to the user equipment from among a plurality of network slice instances in the communication apparatus in response to the request, selects a single network function instance to be allocated to the user equipment from among a plurality of network function instances included in the selected network slice instance. The network slice instance is in an instantiated form of a network slice that includes at least one network function and resource for providing a network service having a predetermined capability and characteristic to the user equipment.

Communication method and apparatus using network slicing

A first Bluetooth terminal having a short range communication module that is set as an anchor searches for a peripheral Bluetooth terminal and transmits information of the found Bluetooth terminal to a place management server. The place management server updates place information of a user of the found Bluetooth terminal to place information of the first Bluetooth terminal and transmits the updated place information to the found Bluetooth terminal.

Communication terminal, place management server, and method of detecting place information thereof

Provided is an apparatus for executing a robot task using a robot model definition. A task execution apparatus include: a storage unit to store at least one robot model, at least one robot behavior, and at least one robot task; and a task execution unit to generate at least one execution object from the stored at least one robot model, at least one robot behavior, and at least one robot task, and to execute a task of a robot from a corresponding execution object among the generated at least one execution object in response to an execution command input from a user.

Growing community of inventors

Daejeon, South Korea

Seung-Ik Lee