18460476. CSI FEEDBACK IN CELLULAR SYSTEMS simplified abstract (Samsung Electronics Co., Ltd.)

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CSI FEEDBACK IN CELLULAR SYSTEMS

Organization Name

Samsung Electronics Co., Ltd.

Inventor(s)

Jeongho Jeon of San Jose CA (US)

CSI FEEDBACK IN CELLULAR SYSTEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18460476 titled 'CSI FEEDBACK IN CELLULAR SYSTEMS

Simplified Explanation

The abstract describes a method and apparatus for channel state information (CSI) feedback in cellular systems, specifically focusing on machine learning (ML) based CSI reporting. The method involves transmitting information related to the UE's capability to support ML-based CSI reporting and selecting a ML model for CSI reporting. It also includes configuring a ML model, processing the ML model output, receiving CSI reference signals, and determining a CSI report using the ML model.

  • Explanation of the patent/innovation:

- Method for UE to report CSI using ML-based techniques - Selection of ML model for CSI reporting - Configuration of ML model for determining CSI - Processing of ML model output - Reception of CSI reference signals on a cell - Determination of CSI report using ML model

Potential applications of this technology: - Enhanced performance in cellular systems - Improved network efficiency - Better resource allocation

Problems solved by this technology: - Efficient and accurate CSI reporting - Enhanced network optimization - Improved user experience

Benefits of this technology: - Increased reliability in CSI feedback - Enhanced network performance - Better utilization of resources

Potential commercial applications of this technology: - Telecommunications companies - Network equipment manufacturers - Wireless technology providers

Possible prior art: - Existing methods for CSI feedback in cellular systems - Traditional techniques for channel state information reporting

Questions: 1. How does the selection of a ML model impact the accuracy of CSI reporting? 2. What are the potential challenges in implementing ML-based CSI reporting in cellular systems?


Original Abstract Submitted

Method and apparatuses for channel state information (CSI) feedback in cellular systems. A method for operating a user equipment (UE) to report CSI includes transmitting first information related to a capability of the UE to support machine learning (ML) based CSI reporting and second information related to a selection of a ML model for CSI reporting. The method further includes receiving third information related to configuring a first ML model for determining the CSI, fourth information related to processing a ML model output, fifth information related to reception of CSI reference signals (CSI-RS s) on a cell, and the CSI-RSs based on the fifth information. The method further includes determining, based on the third and fourth information and the reception of the CSI-RSs, a CSI report using the first ML model and transmitting a channel with the CSI report.