Method and device for adjusting split point in wireless communication system

Patent metadata

Field	Value
Publication number	US-2024086743-A1
Application number	US-202118269437-A
Country	US
Kind code	A1
Filing date	Dec 1, 2021
Priority date	Dec 24, 2020
Publication date	Mar 14, 2024
Grant date	—

Abstract

Disclosed herein is a method of operating a terminal in a wireless communication system. As an example of the present disclosure, the method may include: receiving information on at least one of a first split point and a second split point from a base station; performing first split inference based on the first split point and generating first intermediate data; transmitting the first intermediate data to the base station; receiving second intermediate data generated based on the second split point from the base station; performing remaining split inference from the second split point based on the second intermediate data; and adjusting the second split point based on the second intermediate data.

First claim

1 . A method of operating a terminal in a wireless communication system, the method comprising:
receiving information from a base station; transmitting first data to the base station; receiving second data from the base station; and performing remaining split inference from second split point based on the second data, wherein the information is related to at least one of a first split point and the second split point, wherein the first data includes first intermediate data generated by performing first split inference based on the first split point, and wherein the second data includes second intermediate data generated based on the second split point.

2 . The method of claim 15 , wherein the first split point indicates a first point where the terminal performs the first split inference based on a U-shaped split artificial intelligence (AI) learning model, and
wherein the second split point indicates a second point where the base station performs second split inference based on the U-shaped split AI learning model.

3 . The method of claim 2 , wherein the terminal transmits, to the base station, information on a time when raw data of the terminal is delivered to an input layer and information on the second split point together with the first intermediate data, and
wherein the terminal receives information on a reception time of the first intermediate data, which the base station receives, and information on the first split point together with the second intermediate data.

4 . The method of claim 3 , wherein the adjusting of the second split point by the terminal comprises measuring a peak of AoI (PAoI) of the second intermediate data and adjusting the second split point based on a comparison result between a measured PAoI value and a first threshold configured by the base station.

5 . The method of claim 4 , wherein, in case that the PAoI value is greater than the first threshold, the second split point is moved toward the input layer or be maintained, and in case that the PAoI value is smaller than the first threshold, the second split point is moved toward an output layer or be maintained.

6 . The method of claim 5 , wherein an adjustment position of the second split point is determined between after the first split point and before the output layer.

7 . The method of claim 2 , wherein the first split point is moved toward an output layer or is maintained in case that the base station measures a PAoI of the first intermediate data received from the terminal and a value of the measured PAoI of the first intermediate data is smaller than a second threshold configured by the base station, and the first split point is moved toward the input layer or is maintained in case that the value of the measured PAoI of the first intermediate data is greater than the second threshold.

8 . The method of claim 7 , wherein an adjustment position of the first split point is determined between after the input layer and before the second split point.

9 . (canceled)

10 . A terminal in a wireless communication system comprising:
a transceiver; and a processor coupled to the transceiver, wherein the processor is configured to: receive information from a base station, transmit first data to the base station, receive second data from the base station, and perform remaining split inference from a second split point based on the second data, wherein the information is related to at least one of a first split point and the second split point, wherein the first data includes first intermediate data generated by performing first split inference based on the first split point, and wherein the second data includes second intermediate data generated based on the second split point.

11 . A method of operating a base station in a wireless communication system, the method comprising:
performing initial configuration for a first split point and a second split point, transmitting information to a terminal, receiving first data from the terminal, generating second data, adjusting the first split point based on the first data, and transmitting information on the generated second data and the adjusted first split point to the terminal, wherein the information is related to at least one of the first split point and the second split point, wherein the first data includes first intermediate data generated based on first split inference that the terminal performs based on the first split point, wherein the second data includes second intermediate data generated based on second split inference up to the second split point.

12 - 14 . (canceled)

15 . The method of claim 1 , further comprising:
adjusting the second split point based on the second intermediate data.

16 . The method of claim 2 , further comprising:
generating a label based on total inference result.

17 . The method of claim 4 , wherein the AoI is determined based on a packet delay and inter-delivery time.

18 . The method of claim 4 , wherein the first threshold is determined based on inference latency and a loss rate of first intermediate data.

19 . A terminal of claim 10 , the processor is further configured to:
adjust the second split point based on the second intermediate data.

20 . A terminal of claim 19 , wherein the first split point indicates a first point where the terminal performs the first split inference based on a U-shaped split artificial intelligence (AI) learning model, and
wherein the second split point indicates a second point where the base station performs second split inference based on the U-shaped split AI learning model.

21 . A terminal of claim 20 , wherein the terminal transmits, to the base station, information on a time when raw data of the terminal is delivered to an input layer and information on the second split point together with the first intermediate data, and
wherein the terminal receives information on a reception time of the first intermediate data, which the base station receives, and information on the first split point together with the second intermediate data.

22 . The terminal of claim 21 , wherein the adjusting of the second split point by the terminal comprises measuring a peak of AoI (PAoI) of the second intermediate data and adjusting the second split point based on a comparison result between a measured PAoI value and a first threshold configured by the base station.

23 . The terminal of claim 19 , wherein the first split point is moved toward an output layer or is maintained in case that the base station measures a PAoI of the first intermediate data received from the terminal and a value of the measured PAoI of the first intermediate data is smaller than a second threshold configured by the base station, and the first split point is moved toward the input layer or is maintained in case that the value of the measured PAoI of the first intermediate data is greater than the second threshold.

24 . The method of claim 11 , wherein the first split point indicates a first point where the terminal performs the first split inference based on a U-shaped split artificial intelligence (AI) learning model, and
wherein the second split point indicates a second point where the base station performs second split inference based on the U-shaped split AI learning model.

Assignees

• Lg Electronics Inc

Inventors

• Jung Ikjoo
• Lee Sangrim
• Lee Kyung Ho
• Kim Jayeong
• Lee Tae Hyun

Classifications

• G06N3/09

  Supervised learning · CPC title

• G06N3/0464

  Convolutional networks [CNN, ConvNet] · CPC title

• G06N3/088

  Non-supervised learning, e.g. competitive learning · CPC title

• G06N3/092

  Reinforcement learning · CPC title

• G06N3/044

  Recurrent networks, e.g. Hopfield networks · CPC title