Title:
Deep Learning Based Communication Over the Air
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- Category:
- AI-NN-PR
- Tags:
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[MacOS]
- File Size:
- 650kb
- Update:
- 2018-05-12
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- Uploaded by:
- 哈互惠哈
Description: End-to-end learning of communications systems is a
fascinating novel concept that has so far only been validated by
simulations for block-based transmissions. It allows learning of
transmitter and receiver implementations as deep neural networks
(NNs) that are optimized for an arbitrary differentiable end-to-end
performancemetric, block error rate (BLER). In this paper, we
demonstrate that over-the-air transmissions are possible:We build,
train, and run a complete communications system solely composed
of NNs using unsynchronized off-the-shelf software-defined radios
and open-source deep learning software libraries.
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| Filename | Size | Date |
|---|
| Deep Learning Based Communication Over the Air.pdf | 897465 | 2018-04-23 |
