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Detail
Journal Article
무선 통신 물리 계층의 기계 학습 활용 동향
- Issue Date
- 2018-04
- Citation
- 전자통신동향분석, v.33, no.2, pp.39-47
- ISSN
- 1225-6455
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- Korean
- Type
- Journal Article
- Abstract
- The fundamental problem of communica-tion 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. Alt-hough today’s systems have been opti-mized over the last decades, and it seems difficult to compete with their performance, deep learning based commu-nication is attractive owing to its simplicity and the fact that it can learn to communicate over any type of channel without the need for mathemati-cal modeling or analysis.
- KSP Keywords
- Communications system, Transmitter and receiver, deep learning(DL), machine Learning, need for, optimal solution
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
