TinyTurbo: Efficient Turbo Decoders on Edge-Reference-Cited by-同舟云学术

TinyTurbo: Efficient Turbo Decoders on Edge

Published:2022-06-26 Issue: Volume: Page:
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Container-title:2022 IEEE International Symposium on Information Theory (ISIT)
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Author:

Hebbar S. Ashwin¹,Mishra Rajesh K.²,Ankireddy Sravan Kumar²,Makkuva Ashok V.¹,Kim Hyeji²,Viswanath Pramod¹

Affiliation:

1. University of Illinois

2. University of Texas,Austin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9834325/9834269/09834589.pdf?arnumber=9834589

Reference27 articles.

1. Cyclically equivariant neural decoders for cyclic codes;chen;arXiv preprint arXiv 2105 05540,2021

2. Deep Learning in Physical Layer Communications

3. Model-Driven DNN Decoder for Turbo Codes: Design, Simulation, and Experimental Results

4. LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Multiplexing and channel coding;3rd Generation Partnership Project (3GPP) Technical Specification (TS) 36 212 01 2011 version 10 0 0,0

5. Optimal decoding of linear codes for minimizing symbol error rate (Corresp.)

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