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Advances in Modern Channel Coding

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 79

Special Issue Editors


E-Mail Website
Guest Editor
Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China
Interests: MIMO/massive MIMO; massive access; secure communication; power line communication

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Guest Editor
Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
Interests: applied probability; information theory; coding theory; polar coding; LDPC codes; probabilistic shaping; GRAND

Special Issue Information

Dear Colleagues,

Channel codes are fundamental to the integrity and performance of communication systems. They play a crucial role in ensuring data are transmitted accurately over noisy and unreliable channels. From the inception of classic coding schemes like Hamming codes and Reed–Solomon codes to the more recent breakthroughs in Turbo codes, Low-Density Parity-Check (LDPC) codes and polar codes, the evolution of channel coding techniques has been pivotal in achieving remarkable improvements in data transmission efficiency and error correction capabilities.

In recent years, the demand for higher data rates, improved spectral efficiency, and robust performance in diverse and challenging environments has spurred the development of novel coding paradigms and sophisticated decoding algorithms. This Special Issue aims to capture the essence of these advancements by presenting a collection of original research articles, comprehensive reviews, and insightful perspectives from leading experts in the field.

The contributions in this Special Issue cover a wide spectrum of topics, including, but not limited to, the following:

  • Turbo, LDPC, polar, and product codes;
  • Coded modulation;
  • Joint source-channel coding;
  • Code design for short-packet communications;
  • Coding for optical/wireless communications;
  • Rateless codes;
  • Machine learning for codes and decoder designs;
  • Guess-based decoding;
  • Probabilistic shaping.

Prof. Dr. Yongpeng Wu
Dr. Peihong Yuan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • LDPC codes
  • turbo codes
  • polar coding
  • probabilistic shaping
  • coded modulation

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Published Papers

This special issue is now open for submission.
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