Inventing Codes for Channels With Active Feedback via Deep Learning-Reference-Cited by-同舟云学术

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Inventing Codes for Channels With Active Feedback via Deep Learning

Published:2022-09 Issue:3 Volume:3 Page:574-586
ISSN:2641-8770
Container-title:IEEE Journal on Selected Areas in Information Theory
language:
Short-container-title:IEEE J. Sel. Areas Inf. Theory

Author:

Chahine Karl¹^ORCID,Mishra Rajesh¹^ORCID,Kim Hyeji¹^ORCID

Affiliation:

1. Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA

Funder

Office of Naval Research

National Science Foundation

6G@UT Center within the Wireless Networking and Communications Group (WNCG) at the University of Texas at Austin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Link

https://ieeexplore.ieee.org/ielam/8700143/10077203/9928317-aam.pdf

Reference23 articles.

1. Deep extended feedback codes;safavi;arXiv 2105 01365,2021

2. Deepcode: Feedback codes via deep learning;kim;Advances in neural information processing systems,2018

3. AttentionCode: Ultra-reliable feedback codes for short-packet communications;shao;arXiv 2205 14955,2022

4. DRF codes: Deep SNR-robust feedback codes;mashhadi;arXiv 2112 11789,2021

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 6G: Technology Evolution in Future Wireless Networks;IEEE Access;2024

2. Do not Interfere but Cooperate: A Fully Learnable Code Design for Multi-Access Channels with Feedback;2023 12th International Symposium on Topics in Coding (ISTC);2023-09-04

3. Linear Coding for AWGN Channels With Noisy Output Feedback via Dynamic Programming;IEEE Transactions on Information Theory;2023-08

4. Interpreting Training Aspects of Deep-Learned Error-Correcting Codes;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25

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