Transceiver Model Training With Adaptive Reference Signal Feedback

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Solution Overview

Problem

Existing wireless communication systems face challenges in effectively performing learning for transceiver models, particularly in determining reference signal patterns and sharing necessary information for active learning, which affects communication efficiency and reliability.

Innovation Solution

An apparatus and method for active learning in wireless communication systems, involving the transmission of capability information, reception of configuration information, and feedback on preferred reference signal patterns, along with the exchange of necessary information to determine uncertainty or diversity in transceiver models.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If active learning is performed for transceiver models in wireless communication systems, then learning effectiveness and communication efficiency are improved, but system complexity and information exchange requirements increase

Engineering Contradiction:
Improvelearning effectivenessVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system divides the learning process into distinct phases: capability information exchange, configuration information transmission, reference signal reception, and feedback processing. Each phase handles specific aspects of active learning, making the complex system more manageable and implementable while maintaining learning effectiveness

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements feedback mechanisms where user equipment transmits feedback information about preferred reference signal patterns to base stations, and base stations adjust their transmissions accordingly. This feedback loop enables continuous improvement of transceiver models during active learning while managing system complexity through structured information exchange

Inventive Principle:
Principle #23Feedback

2Measurement precision

If reference signal patterns are determined and exchanged for active learning, then transceiver model accuracy improves, but information exchange overhead increases

Engineering Contradiction:
Improvetransceiver model accuracyVSAvoidinformation exchange overhead
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The system performs preliminary capability information exchange between base stations and user equipment before actual learning begins. This preliminary action establishes the necessary framework and parameters for efficient information exchange during the learning process, reducing overhead in subsequent communications

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent dynamically adjusts reference signal transmission parameters based on feedback information and uncertainty assessments. By changing parameters such as reference signal patterns and transmission timing based on current learning needs, the system optimizes accuracy while minimizing information exchange overhead

Inventive Principle:
Principle #35Parameter changes

3Reliability

If uncertainty and diversity information are shared for active learning, then learning reliability improves, but communication time increases

Engineering Contradiction:
Improvelearning reliabilityVSAvoidcommunication time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system employs periodic action through structured feedback cycles where uncertainty and diversity information are exchanged at specific intervals rather than continuously. This periodic information exchange maintains learning reliability while significantly reducing communication time compared to continuous exchanges

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

User equipment autonomously determines and transmits feedback information about preferred reference signal patterns based on its own learning needs and uncertainty assessments. This self-service approach reduces the burden on base stations and minimizes overall communication time while maintaining high learning reliability

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20260025299A1Apparatus and method for performing training for transceiver model in wireless communication system
Publication Date: 2026.01.22 LG ELECTRONICS INC
  • US20260025299A1 patent drawing
  • US20260025299A1 patent drawing
  • US20260025299A1 patent drawing

AI summary

The purpose of the present disclosure is to perform training for a transceiver model in a wireless communication system, and an operation method for user equipment (UE) may comprise the steps of: transmitting capability information to a base station; receiving, from the base station, configuration information related to reference signals; receiving the reference signals on the basis of the configuration information; and transmitting feedback information corresponding to the reference signals. The feedback information may include information related to at least one preferred reference signal pattern selected by the UE, and may request to transmit reference signals according to the preferred reference signal pattern.