18348266. MOBILITY CLASSIFICATION AND CHANNEL STATE INFORMATION PREDICTION simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

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MOBILITY CLASSIFICATION AND CHANNEL STATE INFORMATION PREDICTION

Organization Name

SAMSUNG ELECTRONICS CO., LTD.

Inventor(s)

Tiexing Wang of Plano TX (US)

Umut Demirhan of Tempe AZ (US)

Yang Li of Plano TX (US)

MOBILITY CLASSIFICATION AND CHANNEL STATE INFORMATION PREDICTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18348266 titled 'MOBILITY CLASSIFICATION AND CHANNEL STATE INFORMATION PREDICTION

Simplified Explanation

The patent application describes methods and apparatuses for predicting channel state information (CSI) and classifying mobility in a base station. The method involves receiving a CSI report from a user equipment (UE) which includes a precoding matrix indicator (PMI), a channel quality information (CQI), and a rank indicator (RI). The method further includes identifying the CSI configuration of the UE and performing a metric smoothing operation on the PMI to obtain a smoothed PMI. The metric smoothing operation involves scaling based on the RI and a discrete Fourier transform (DFT) vector length. The method also involves determining the mobility range classification of the UE based on the smoothed PMI, other metrics in the CSI feedback report, and the CSI configuration.

  • The patent application focuses on predicting channel state information (CSI) and classifying mobility in a base station.
  • It involves receiving a CSI report from a user equipment (UE) which includes PMI, CQI, and RI.
  • The method identifies the CSI configuration of the UE and performs a metric smoothing operation on the PMI.
  • The metric smoothing operation involves scaling based on the RI and a DFT vector length.
  • The method determines the mobility range classification of the UE based on the smoothed PMI, other metrics, and the CSI configuration.

Potential applications of this technology:

  • Improved wireless communication systems that can predict and classify mobility of user equipment.
  • Enhanced performance of base stations in handling different mobility scenarios.
  • More efficient resource allocation and scheduling in wireless networks.

Problems solved by this technology:

  • Inaccurate prediction of channel state information and mobility classification in wireless communication systems.
  • Difficulty in optimizing resource allocation and scheduling based on inaccurate mobility information.
  • Inefficient utilization of network resources due to lack of accurate mobility classification.

Benefits of this technology:

  • Improved reliability and performance of wireless communication systems.
  • Enhanced resource allocation and scheduling efficiency.
  • Better utilization of network resources.
  • Improved user experience in terms of connectivity and data rates.


Original Abstract Submitted

Methods and apparatuses for mobility classification and channel state information (CSI) prediction. A method for operating a base station includes receiving, from a user equipment (UE), a channel status state information (CSI) report comprising a precoding matrix indicator (PMI), a channel quality information (CQI), and a rank indicator (RI). The method further includes identifying a CSI configuration of the UE and performing a metric smoothing operation on the PMI. The metric smoothing operation results in a smoothed PMI. The metric smoothing operation comprises a scaling function based on the RI and a discrete Fourier transform (DFT) vector length. The method further includes determining a mobility range classification of the UE based on the smoothed PMI, other metrics in the CSI feedback report, and the CSI configuration.

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