US Patent Application 18183114. AI-AUGMENTED CHANNEL ESTIMATION simplified abstract

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AI-AUGMENTED CHANNEL ESTIMATION

Organization Name

SAMSUNG ELECTRONICS CO., LTD.==Inventor(s)==

[[Category:Yeqing Hu of Allen TX (US)]]

[[Category:Yang Li of Plano TX (US)]]

[[Category:Tiexing Wang of Plano TX (US)]]

[[Category:Junmo Sung of Richardson TX (US)]]

[[Category:Jianzhong Zhang of Dallas TX (US)]]

AI-AUGMENTED CHANNEL ESTIMATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18183114 titled 'AI-AUGMENTED CHANNEL ESTIMATION

Simplified Explanation

The patent application describes a method for estimating channel profiles in a communication system using machine learning and minimum mean square error (MMSE) techniques.

  • The method determines estimated features based on received signals, specifically second order statistics.
  • A machine learning network is used to classify each channel of the received signals into a channel profile based on the estimated features.
  • Multiple MMSE channel estimation weights are obtained from a database, which stores representative MMSE estimation weights and channel cluster representatives indexed by the estimated features.
  • The method applies a respective MMSE channel estimation weight for each channel, improving the accuracy of channel estimation in the communication system.


Original Abstract Submitted

A method includes determining estimated features comprising second order statistics based on at least one received signal. The method also includes classifying, using a machine learning network, each channel of the at least one received signal into a channel profile based on the estimated features. The method also includes obtaining multiple minimum mean square error (MMSE) channel estimation weights from a database based on the estimated features, the database storing (i) representative MMSE estimation weights and (ii) channel cluster representatives indexed by the estimated features. The method also includes applying a respective MMSE channel estimation weight for each channel.

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