18030800. METHOD FOR TRANSMITTING AND RECEIVING SIGNAL IN WIRELESS COMMUNICATION SYSTEM simplified abstract (LG ELECTRONICS INC.)

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METHOD FOR TRANSMITTING AND RECEIVING SIGNAL IN WIRELESS COMMUNICATION SYSTEM

Organization Name

LG ELECTRONICS INC.

Inventor(s)

Sangrim Lee of Seoul (KR)

Hojae Lee of Seoul (KR)

Yeongjun Kim of Seoul (KR)

Kijun Jeon of Seoul (KR)

Sungjin Kim of Seoul (KR)

METHOD FOR TRANSMITTING AND RECEIVING SIGNAL IN WIRELESS COMMUNICATION SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18030800 titled 'METHOD FOR TRANSMITTING AND RECEIVING SIGNAL IN WIRELESS COMMUNICATION SYSTEM

Simplified Explanation

The abstract describes a method for transmitting and receiving signals in wireless communication using superposition and federated machine learning. The method involves a base station receiving an aggregated signal, demodulating it, and decoding it based on a codebook that combines the codebooks of multiple terminals. The aggregated signal is obtained by superimposing signals transmitted from the terminals, which include information about neural network parameters related to federated machine learning.

  • The method involves receiving an aggregated signal in wireless communication.
  • The aggregated signal is demodulated and decoded using a codebook combining the codebooks of multiple terminals.
  • The signals transmitted from the terminals are superimposed on a wireless channel.
  • The signals include information about neural network parameters related to federated machine learning.

Potential Applications

  • This method can be applied in various wireless communication systems, such as cellular networks, IoT networks, and wireless sensor networks.
  • It can be used for efficient transmission and reception of signals in scenarios where multiple terminals are involved in federated machine learning.

Problems Solved

  • Traditional wireless communication methods may struggle to handle the transmission and reception of signals from multiple terminals in federated machine learning scenarios.
  • This method solves the problem of efficiently transmitting and receiving signals by superimposing them on a wireless channel and using a codebook combining the codebooks of multiple terminals.

Benefits

  • The method enables efficient transmission and reception of signals in wireless communication systems.
  • It allows for the incorporation of neural network parameters related to federated machine learning in the transmitted signals.
  • By using superposition and a combined codebook, the method improves the overall performance and reliability of wireless communication systems.


Original Abstract Submitted

A superposition-based method for transmitting and receiving signals in wireless communication is provided. Provided is a signal reception method performed by a base station which performs federated machine-learning in a wireless communication system, the signal reception method comprising the steps of: receiving an aggregated signal; demodulating the aggregated signal; and decoding the aggregated signal, wherein the decoding is performed on the basis of a codebook combining the respective codebooks of a plurality of terminals, the aggregated signal is obtained by superposition, on a wireless channel, of signals respectively transmitted from the plurality of terminals, and the respective signals include information about neural network parameters related to the federated machine-learning respectively performed by the plurality of terminals.