Method and apparatus for achieving model compatibility in two-sided model and its parameter signaling

Patent metadata

Field	Value
Publication number	US-2025055540-A1
Application number	US-202418799582-A
Country	US
Kind code	A1
Filing date	Aug 9, 2024
Priority date	Aug 11, 2023
Publication date	Feb 13, 2025
Grant date	—

Abstract

The present invention provides a method and apparatus for achieving model compatibility in AI/ML based channel state information compression models in multi-antenna systems. An initial capability report is transmitted to a base station. An initial network configuration is received from the base station. An AI-specific AI/ML CSI capability report is transmitted to the base station. A CSI report configuration consisting of AI/ML model specific configuration parameters and CSI reporting parameters, and CSI-Reference signals are received from the base station. Parameters such as AI-CSI is computed based on the CSI report configuration to transmit CSI report. The CSI report configuration is transmitted according to an information element (IE) consisting of a pairing ID. The AI-CSI parameter is computed based on AI/ML model indicated by the pairing ID and other CSI reporting parameters included in the CSI report configuration.

First claim

We claim:

1 . A method, comprising:
transmitting an initial capability report to a base station; receiving an initial network configuration from the base station; transmitting an AI-specific AI/ML CSI capability report to the base station; receiving a CSI report configuration consisting of AI/ML model specific configuration parameters and CSI reporting parameters; receiving CSI-Reference signals from the base station; computing AI-CSI parameter based on the CSI report configuration; and transmitting a CSI report, wherein the CSI report configuration is transmitted according to an information element (IE) consisting of a pairing ID, and the AI-CSI parameter is computed based on AI/ML model indicated by the pairing ID and other CSI reporting parameters included in the CSI report configuration.

2 . The method as claimed in claim 1 , wherein the initial capability report indicates:
the capability of a UE to support the AI/ML assisted CSI feedback compression; and information about the factors supporting AI/ML assisted CSI feedback compression, wherein the factors may include at least environment, frequency-domain, antennas, variables pertaining to model development.

3 . The method as claimed in claim 1 , further comprising receiving, from the base station, configurations for the AI/ML capabilities and/or model IDs or model parameters or any other data for updating AI/ML models.

4 . The method as claimed in claim 1 , wherein the AI/ML model specific configuration parameters include at least one of the following parameters:
Model ID indicating identified model; Model input type indicating raw channel or eigenvector; Model input size such as Tx antenna ports, Sub-band size; Compression ratio; Quantization type; and Additional Quantization parameters depending on the quantization type.

5 . The method as claimed in claim 1 , wherein the pairing ID indicates the most compatible model out of a plurality of AI/ML models.

6 . The method as claimed in claim 5 , wherein the pairing information is generated based on the type of training method adopted for a two-sided model.

7 . The method as claimed in claim 6 , wherein the pairing information is generated from training dataset or dataset ID in Type 3 training method.

8 . The method as claimed in claim 6 , wherein the pairing information is generated from joint training information and joint training instance in in Type 1 and Type 2 training methods.

9 . The method as claimed in claim 6 , wherein the pairing information is not generated when a UE-side encoder model is compatible with all base station-side models.

10 . The method as claimed in claim 6 , wherein the pairing information is generated during exchange of models/parameters/data between NW and UE (online collaboration).

11 . The method as claimed in claim 3 , further comprising:
generating the pairing information during exchange of models or parameters or data between base station and UE.

12 . A user equipment comprising:
a processor; and a memory coupled to the processor, wherein the processor is configured to perform: transmit an initial capability report to a base station; receive an initial network configuration from the base station; transmit an AI-specific AI/ML CSI capability report to the base station; receive a CSI report configuration consisting of AI/ML model specific configuration parameters and CSI reporting parameters; receive CSI-Reference signals from the base station; compute AI-CSI parameter based on the CSI report configuration; and transmit a CSI report, wherein the CSI report configuration is transmitted according to an information element (IE) consisting of a pairing ID, and the AI-CSI parameter is computed based on AI/ML model indicated by the pairing ID and other CSI reporting parameters included in the CSI report configuration.

Assignees

• Indian Inst Tech Madras

Inventors

• Ganti Radhakrishna
• Pirati Venkata Siva Sai Prasad
• Yerrapragada Anil Kumar
• Sattianarayanin Jeeva Keshav

Classifications

• H04W8/24

  Transfer of terminal data · CPC title

• H04B17/3913

  Predictive models, e.g. based on neural network models · CPC title

• H04W8/22

  Processing or transfer of terminal data, e.g. status or physical capabilities · CPC title

• H04B7/0626 Primary

  Channel coefficients, e.g. channel state information [CSI] · CPC title

• H04B7/0658 Primary

  Feedback reduction · CPC title