Semantic Information Theory
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 17
Special Issue Editors
Interests: edge learning; semantic communication; integrated communication-computing-sensing; MIMO beamforming
Interests: information theory and channel coding; signal processing based on machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Information theory laid the foundation for modern communication systems by quantifying information and establishing fundamental limits for reliable data transmission over noisy channels. However, it primarily focuses on the syntactic aspects of data transmission without considering the semantic meaning. Semantic communication, in contrast, concentrates on the semantic or effectiveness levels and aims to extract and convey the information needed to make the receiver accomplish a goal with the desired effectiveness. This paradigm shift is envisioned to enhance efficiency and timeliness in a variety of emerging applications, such as autonomous driving, remote robotics, meta-universe, drone inspection, and more. Due to its exceptional advantages in communication efficiency and compatibility with emerging AI applications, semantic communication has garnered significant attention.
Despite the notable progress made in semantic communications as empowered by AI, a unified theoretical foundation and operational analytical tools for semantic communications remain elusive. The relationship between traditional information theory and semantic communications is not yet established. Specifically, the extent to which information theory can address challenges in semantic communication is yet to be explored. This Special Issue aims to bridge this gap by fostering the convergence of information theory and semantic communications. Prospective authors are invited to submit original manuscripts on topics including, but not limited to, the following:
- Novel theoretical frameworks for semantic communications.
- Source and channel coding with semantic aspects.
- Rate-distortion-perception trade-off.
- Application of information theory for analysis and optimization of semantic communication systems.
- End-to-end design of semantic communications.
- Resource management for semantic communications.
- Privacy and security issues in semantic communications.
- Analysis and design of multi-user semantic communications.
Prof. Dr. Meixia Tao
Prof. Dr. Kai Niu
Dr. Youlong Wu
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
- semantic metric
- information bottleneck
- rate-distortion-perception trade-off
- remote source coding
- joint source–channel coding
- task-oriented communications
- AI-based communications
- end-to-end communications
- multi-modality communications
