Backpropagating Through the Air: Deep Learning at Physical Layer Without Channel Models
Recent developments in applying deep learning techniques to train end-to-end communication systems have shown great promise in improving the overall performance of the system. However, most of the current methods for applying deep learning to train physical-layer characteristics assume the availabil...
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Published in | IEEE communications letters Vol. 22; no. 11; pp. 2278 - 2281 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.11.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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