Deep Learning for Polar Codes over Flat Fading Channels
This paper proposes a deep-neural-networks scheme for decoding polar coded short packets. We consider packet transmission over frequency-flat quasi-static Rayleigh fading channels, where the channel coefficient is constant over a packet but changes packet-by-packet. Potential applications of the pro...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2019
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063880108&doi=10.1109%2fICAIIC.2019.8669025&partnerID=40&md5=efcd21cc5d502ef0355d8241b4459b64 http://eprints.utp.edu.my/23564/ |
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Institution: | Universiti Teknologi Petronas |
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