EP-4740588-A1 - METHOD AND APPARATUS FOR TRANSFERRING OR DELIVERING AI MODELS DURING HANDOVER IN WIRELESS COMMUNICATION SYSTEMS

EP4740588A1EP 4740588 A1EP4740588 A1EP 4740588A1EP-4740588-A1

Abstract

The disclosure relates to a 5G or 6G communication system for supporting higher data transfer rates. A method performed by a first base station in a communication system is provided. The method includes receiving a measurement report from a terminal, transferring, to a second base station, a handover request message including information for transferring an artificial intelligence (AI) model, determining a first AI model for transferring the AI model of the terminal based on a response message for a handover request and AI information of the terminal previously received from the terminal, the handover request including response information to the information for transferring the AI model received from the second base station, and transferring, to the terminal, the determined first AI model and a message for performing handover.

Inventors

BAIK, JUNGSUK
SONG, Sooeun
KIM, SUHWOOK
Lee, Changsung

Assignees

Samsung Electronics Co., Ltd.

Dates

Publication Date: 20260513
Application Date: 20240812

Claims (15)

A method performed by a first base station in a communication system, the method comprising: receiving a measurement report from a terminal; transferring, to a second base station, a handover request message including information for transferring an artificial intelligence (AI) model; determining a first AI model for transferring the AI model of the terminal based on a response message for a handover request and AI information of the terminal previously received from the terminal, the handover request including response information to the information for transferring the AI model received from the second base station; and transferring, to the terminal, the determined first AI model and a message for performing handover.
The method of claim 1, wherein the transferring, to the terminal, of the determined first AI model and the message for performing the handover includes: receiving second AI model information for transferring the AI model of the second base station from the terminal; scheduling transfer of the first AI model and the second AI model using the received second AI model information and the determined first AI model; transferring, to the terminal, the first AI model; and receiving the second AI model from the terminal, and delivering, to the second base station, the second AI model, wherein transfer of the first AI model is scheduled by the first base station, and wherein the information for transferring the AI model is for requesting the AI information of the second base station, wherein the AI information of the terminal includes at least one of a name of the AI model of the terminal, a size of the AI model of the terminal, an AI support case of the terminal, a use case requirement for the AI of the terminal, a case requiring update for the AI model of the terminal, or vendor information of the terminal.
A method performed by a terminal in a communication system, the method comprising: transferring, to a first base station, a measurement report; and receiving a first artificial intelligence (AI) model and a message for performing handover from the first base station, wherein the first AI model is an AI model determined for transferring an AI model of the terminal, based on AI information of the terminal and AI information of a second base station.
The method of claim 3, wherein the message for performing the handover further includes AI information of the second base station and a receiver indicator for indicating a receiver of an AI model, and wherein the method further comprises: determining a second AI model for transferring an AI model of the second base station based on the AI information of the terminal and the AI information of the second base station, transferring, to the first base station indicated as a first receiver of the second AI model by the receiver indicator, information of the determined second AI model, receiving, from the first base station, an uplink (UL) grant including scheduling information of the second AI model, and transferring, to the first base station indicated by the receiver indicator, the second AI model.
The method of claim 3, wherein the message for performing the handover further includes AI information of the second base station and a receiver indicator for indicating a receiver of an AI model, and wherein the method further comprises: determining a second AI model for transferring an AI model of the second base station based on the AI information of the terminal and the AI information of the second base station, transferring, to the second base station indicated as a receiver of the second AI model by the receiver indicator, information of the determined second AI model, receiving, from the second base station, an UL grant including scheduling information of the second AI model, and transferring, to the second base station indicated by the receiver indicator, the second AI model.
A method performed by a second base station in a communication system, the method comprising: receiving, from a first base station, a handover request message including information for determining a first artificial intelligence (AI) model for transferring an AI model of a terminal; and transferring, to the first base station, a response message to a handover request, the handover request including response information to information for determining the first AI model for transferring an AI model of the terminal, wherein the first AI model is an AI model determined with AI information of the terminal and AI information of the second base station.
The method of claim 6, wherein the handover request message further includes the AI information of the terminal and a transmitter indicator for indicating a transmitter of an AI model, and wherein the method further comprises: determining the first AI model based on the AI information of the terminal and the AI information of the second base station, transferring, to the first base station indicated as a transmitter of the first AI model by the transmitter indicator, the determined first AI model; scheduling transfer of the first AI model by the second base station indicated as the transmitter of the first AI model, and transferring, to the terminal, the determined first AI model based on the scheduling.
A first base station in a communication system, the first base station comprising: a transceiver configured to transmit and receive a signal; and a controller that controls to: receive a measurement report from a terminal, transfer, to a second base station, a handover request message including information for transferring an artificial intelligence (AI) model, determine a first AI model for transferring the AI model of the terminal based on a response message for a handover request and AI information of the terminal previously received from the terminal, the handover request including response information to the information for transferring the AI model received from the second base station, and transfer, to the terminal, the determined first AI model and a message for performing a handover.
The first base station of claim 8, wherein the AI information of the terminal includes at least one of a name of the AI model of the terminal, a size of the AI model of the terminal, an AI support case of the terminal, a use case requirement for the AI of the terminal, a case requiring update for the AI model of the terminal, or vendor information of the terminal, wherein transfer of the first AI model is scheduled by the first base station, and wherein the information for transferring the AI model is for requesting the AI information of the second base station.
The first base station of claim 8, wherein the controller controls to: receive, from the terminal, second AI model information for transferring the AI model of the second base station; schedule transfer of the first AI model and the second AI model using the received second AI model information and the determined first AI model; transfer, to the terminal, the first AI model; receive the second AI model from the terminal; and deliver, to the second base station, the second AI model.
A terminal in a communication system, the terminal comprising: a transceiver configured to transmit and receive a signal; and a controller that controls to: transfer, to a first base station, a measurement report, and receive, from the first base station, a first artificial intelligence (AI) model and a message for performing handover, wherein the first AI model is an AI model determined for transferring an AI model of the terminal, based on AI information of the terminal and AI information of a second base station.
The terminal of claim 11, wherein the message for performing the handover further includes AI information of the second base station and a receiver indicator for indicating a receiver of an AI model, and wherein the controller controls to: determine a second AI model for transferring an AI model of the second base station based on the AI information of the terminal and the AI information of the second base station, transfer, to the first base station indicated as a first receiver of the second AI model by the receiver indicator, information of the determined second AI model, receive, from the first base station, an uplink (UL) grant including scheduling information of the second AI model, and transfer, to the first base station indicated by the receiver indicator, the second AI model.
The terminal of claim 11, wherein the message for performing the handover further includes AI information of the second base station and a receiver indicator for indicating a receiver of an AI model, and wherein the controller further controls to: determine a second AI model for transferring an AI model of the second base station based on the AI information of the terminal and the AI information of the second base station, transfer, to the second base station indicated as a receiver of the second AI model by the receiver indicator, information of the determined second AI model, receive, from the second base station, an UL grant including scheduling information of the second AI model, and transfer, to the second base station indicated by the receiver indicator, the second AI model.
A second base station in a communication system, the second base station comprising: a transceiver configured to transmit and receive a signal; and a controller that controls to: receive, from a first base station, a handover request message including information for determining a first artificial intelligence (AI) model for transferring an AI model of a terminal, and transfer, to the first base station, a response message to a handover request, the handover request including response information to information for determining the first AI model for transferring an AI model of the terminal, wherein the first AI model is an AI model determined with AI information of the terminal and AI information of the second base station.
The second base station of claim 14, wherein the handover request message further includes the AI information of the terminal and a transmitter indicator for indicating a transmitter of an AI model, and wherein the controller controls to: determine the first AI model based on the AI information of the terminal and the AI information of the second base station, transfer, to the first base station indicated as a transmitter of the first AI model by the transmitter indicator, the determined first AI model, schedule transfer of the first AI model by the second base station indicated as the transmitter of the first AI model, and transfer, to the terminal, the determined first AI model based on the scheduling.

Description

METHOD AND APPARATUS FOR TRANSFERRING OR DELIVERING AI MODELS DURING HANDOVER IN WIRELESS COMMUNICATION SYSTEMS The disclosure relates to a method for transferring or delivering an artificial intelligence (AI) model in a wireless communication system. More particularly, the disclosure relates to a method and apparatus for transferring or delivering an AI model during handover in a wireless communication system. Considering the development of wireless communication from generation to generation, the technologies have been developed mainly for services targeting humans, such as voice calls, multimedia services, and data services. Following the commercialization of 5G (5th-generation) communication systems, it is expected that the number of connected devices will exponentially grow. Increasingly, these will be connected to communication networks. Examples of connected things may include vehicles, robots, drones, home appliances, displays, smart sensors connected to various infrastructures, construction machines, and factory equipment. Mobile devices are expected to evolve in various form-factors, such as augmented reality glasses, virtual reality headsets, and hologram devices. In order to provide various services by connecting hundreds of billions of devices and things in the 6G (6th-generation) era, there have been ongoing efforts to develop improved 6G communication systems. For these reasons, 6G communication systems are referred to as beyond-5G systems. 6G communication systems, which are expected to be commercialized around 2030, will have a peak data rate of tera (1,000 giga)-level bps and a radio latency less than 100μsec, and thus will be 50 times as fast as 5G communication systems and have the 1/10 radio latency thereof. In order to accomplish such a high data rate and an ultra-low latency, it has been considered to implement 6G communication systems in a terahertz band (for example, 95GHz to 3THz bands). It is expected that, due to severer path loss and atmospheric absorption in the terahertz bands than those in mmWave bands introduced in 5G, technologies capable of securing the signal transmission distance (that is, coverage) will become more crucial. It is necessary to develop, as major technologies for securing the coverage, radio frequency (RF) elements, antennas, novel waveforms having a better coverage than orthogonal frequency division multiplexing (OFDM), beamforming and massive multiple input multiple output (MIMO), full dimensional MIMO (FD-MIMO), array antennas, and multiantenna transmission technologies such as large-scale antennas. In addition, there has been ongoing discussion on new technologies for improving the coverage of terahertz-band signals, such as metamaterial-based lenses and antennas, orbital angular momentum (OAM), and reconfigurable intelligent surface (RIS). Moreover, in order to improve the spectral efficiency and the overall network performances, the following technologies have been developed for 6G communication systems: a full-duplex technology for enabling an uplink transmission and a downlink transmission to simultaneously use the same frequency resource at the same time; a network technology for utilizing satellites, high-altitude platform stations (HAPS), and the like in an integrated manner; an improved network structure for supporting mobile base stations and the like and enabling network operation optimization and automation and the like; a dynamic spectrum sharing technology via collison avoidance based on a prediction of spectrum usage; an use of artificial intelligence (AI) in wireless communication for improvement of overall network operation by utilizing AI from a designing phase for developing 6G and internalizing end-to-end AI support functions; and a next-generation distributed computing technology for overcoming the limit of UE computing ability through reachable super-high-performance communication and computing resources (such as mobile edge computing (MEC), clouds, and the like) over the network. In addition, through designing new protocols to be used in 6G communication systems, developing mecahnisms for implementing a hardware-based security environment and safe use of data, and developing technologies for maintaining privacy, attempts to strengthen the connectivity between devices, optimize the network, promote softwarization of network entities, and increase the openness of wireless communications are continuing. It is expected that research and development of 6G communication systems in hyper-connectivity, including person to machine (P2M) as well as machine to machine (M2M), will allow the next hyper-connected experience. Particularly, it is expected that services such as truly immersive extended reality (XR), high-fidelity mobile hologram, and digital replica could be provided through 6G communication systems. In addition, services such as remote surgery for security and reliability enhancement, industrial automation, and emergency respon