US Patent Application 18028294. METHOD AND DEVICE FOR PERFORMING FEEDBACK BY TERMINAL AND BASE STATION IN WIRELESS COMMUNICATION SYSTEM simplified abstract

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METHOD AND DEVICE FOR PERFORMING FEEDBACK BY TERMINAL AND BASE STATION IN WIRELESS COMMUNICATION SYSTEM

Organization Name

LG ELECTRONICS INC.

Inventor(s)

Jongwoong Shin of Seoul (KR)

Bonghoe Kim of Seoul (KR)

METHOD AND DEVICE FOR PERFORMING FEEDBACK BY TERMINAL AND BASE STATION IN WIRELESS COMMUNICATION SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18028294 titled 'METHOD AND DEVICE FOR PERFORMING FEEDBACK BY TERMINAL AND BASE STATION IN WIRELESS COMMUNICATION SYSTEM

Simplified Explanation

The present disclosure describes a method for transmitting data in a wireless communication system using artificial neural networks.

  • The method involves a user equipment (UE) transmitting data to a base station using a first transmission weight learned through an artificial neural network.
  • If the base station sends a negative acknowledgment (NACK) related to the data transmission, the UE retransmits the data using a second transmission weight learned through the artificial neural network.
  • The first and second transmission weights are learned based on an incremental weight (IW) scheme, which allows for continuous improvement in the transmission performance.
  • The second transmission weight is an additional weight that is learned by the artificial neural network based on the IW scheme, while the first transmission weight remains fixed.
  • This method enables the UE to optimize its data transmission and retransmission based on learned weights, improving overall system performance in a wireless communication system.


Original Abstract Submitted

The present disclosure a method of transmitting data by user equipment (UE) in a wireless communication system, the method comprising: transmitting data applied a first transmission weight learned through an artificial neural network, to a base station, based on the UE performing data transmission, receiving NACK related to the data transmission from the base station, and retransmitting data applied a second transmission weight learned through the artificial neural network, to the base station, based on the UE performing retransmission of the data, wherein the first transmission weight and the second transmission weight are learned based on an incremental weight (IW) scheme, and wherein the second transmission weight is an additional weight that is learned by the artificial neural network based on the IW scheme with the first transmission weight being fixed.

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