Improved Non-Uniform Constellations for Non-Binary Codes Through Deep Reinforcement Learning

Author:

Klaimi Rami1,Weithoffer Stefan1,Nour Charbel Abdel1

Affiliation:

1. IMT Atlantique, Lab-STICC, UMR CNRS 6285,Brest,France,F-29238

Publisher

IEEE

Reference22 articles.

1. Mitigating Correlation Problems in Turbo Decoders

2. Study of non-binary turbo codes for future communication and broadcasting systems;klaimi;Ph D Dissertation,2019

3. Low-complexity decoders for non-binary turbo codes

4. Low Complexity Non-binary Turbo Decoding based on the LocalSOVA Algorithm;le blevec;11th Intern Symp on Turbo Codes Iter Inf Proc (ISTC),2021

5. An introduction to deep learning for the physical layer;o’shea;IEEE Trans Cognitive Commun Net,2017

Cited by 1 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. Construction of Symbol Transformations for Non-Binary Turbo Codes with Lowered Error Floor;2023 12th International Symposium on Topics in Coding (ISTC);2023-09-04

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