Electronics and Telecommunications Trends (전자통신동향분석)

Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Research Trends on Physical Layers in Wireless Communications Using Machine Learning

무선 통신 물리 계층의 기계학습 활용 동향

  • Published : 2018.04.01
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Abstract

The fundamental problem of communication is that of transmitting a message from a source to a destination over a channel through the use of a transmitter and receiver. To derive a theoretically optimal solution, the transmitter and receiver can be divided into several processing blocks, with each component analyzed and optimized. The idea of machine learning (or deep learning) communications systems goes back to the original definition of the communi-cation problem, and optimizes the transmitter and receiver jointly. Although today's systems have been optimized over the last decades, and it seems difficult to compete with their performance, deep learning based communication is attractive owing to its simplicity and the fact that it can learn to communicate over any type of channel without the need for mathematical modeling or analysis.

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Acknowledgement

Grant : 4차 산업혁명을 대비한 가치 창출형 ICT 기술 발굴 및 기획 연구

Supported by : ETRI

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