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Intelligent Information Processing and Coding for B5G Communications

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 August 2024 | Viewed by 2152

Special Issue Editors


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Guest Editor
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Interests: B5G technology; network coding; network information theory; machine learning and big data analysis
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Mathematics, Tianjin University, Tianjin 300354, China
Interests: sampling; approximation and reconstruction of random signals; statistical analysis of random processes; and big date processing on random fields
State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071, China
Interests: Shannon theory; information inequalities and entropy region; network coding
Special Issues, Collections and Topics in MDPI journals
School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China
Interests: information theory; channel coding and its applications
Special Issues, Collections and Topics in MDPI journals

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Guest Editor Assistant
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Interests: semantic communications; information theory; image compression; machine learning and source coding

Special Issue Information

Dear Colleagues,

With the rapid development of communication technologies, Beyond 5G (B5G) communications have emerged as the next frontier in wireless communication systems. B5G aims to provide ultra-reliable and low-latency communications, massive AI-aided communication, and unprecedented levels of connectivity. One of the key pillars in achieving these goals is intelligent information processing and coding. With immense excitement, we present our Special Issue, which is focused on gathering cutting-edge research on intelligent techniques for information processing and coding in the context of B5G communications.

This Special Issue aims to provide a platform for researchers, scholars, and practitioners to showcase their latest research findings and innovations in the field of intelligent information processing and coding for B5G communications. We invite contributions that cover a wide range of topics including, but not limited to, the following:

  • Next-generation communication technology;
  • Machine learning and deep learning in wireless communications;
  • Satellite and space communications;
  • Novel coding schemes for B5G;
  • Intelligent data compression and processing techniques;
  • Applications of artificial intelligence in B5G networks.

Prof. Dr. Pingyi Fan
Prof. Dr. Zhanjie Song
Dr. Qi Chen
Dr. Suihua Cai
Guest Editors

Gangtao Xin
Guest Editor Assistant

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

  • B5G
  • information theory
  • 6G
  • wireless communications
  • coding techniques
  • information-theoretic methods
  • large model
  • machine learning
  • semantic information processing

Published Papers (1 paper)

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Review

29 pages, 1445 KiB  
Review
Semantic Communication: A Survey of Its Theoretical Development
by Gangtao Xin, Pingyi Fan and Khaled B. Letaief
Entropy 2024, 26(2), 102; https://doi.org/10.3390/e26020102 - 24 Jan 2024
Viewed by 1910
Abstract
In recent years, semantic communication has received significant attention from both academia and industry, driven by the growing demands for ultra-low latency and high-throughput capabilities in emerging intelligent services. Nonetheless, a comprehensive and effective theoretical framework for semantic communication has yet to be [...] Read more.
In recent years, semantic communication has received significant attention from both academia and industry, driven by the growing demands for ultra-low latency and high-throughput capabilities in emerging intelligent services. Nonetheless, a comprehensive and effective theoretical framework for semantic communication has yet to be established. In particular, finding the fundamental limits of semantic communication, exploring the capabilities of semantic-aware networks, or utilizing theoretical guidance for deep learning in semantic communication are very important yet still unresolved issues. In general, the mathematical theory of semantic communication and the mathematical representation of semantics are referred to as semantic information theory. In this paper, we introduce the pertinent advancements in semantic information theory. Grounded in the foundational work of Claude Shannon, we present the latest developments in semantic entropy, semantic rate-distortion, and semantic channel capacity. Additionally, we analyze some open problems in semantic information measurement and semantic coding, providing a theoretical basis for the design of a semantic communication system. Furthermore, we carefully review several mathematical theories and tools and evaluate their applicability in the context of semantic communication. Finally, we shed light on the challenges encountered in both semantic communication and semantic information theory. Full article
(This article belongs to the Special Issue Intelligent Information Processing and Coding for B5G Communications)
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