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Network Information Theory and Its Applications

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 October 2025 | Viewed by 802

Special Issue Editors


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Guest Editor
State Key Laboratory of ISN, Xidian University, Xi’an, China
Interests: broadcast channel; capacity region; Gaussian noise; information inequality; Blahut–Arimoto algorithm
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Information Science and Technology, Shanghai Tech University, Shanghai, China
Interests: coded caching; distributed computing; federated learning; joint source–channel coding; communication reliability
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Guangzhou Institute of Technology, Xidian University, Guangzhou, China
Interests: channel coding; source coding; network information theory; lattice theory; cryptography

Special Issue Information

Dear Colleagues,

With the development of information technologies in fields such as communication and artificial intelligence, scenarios involving multiple users and even complex networks dominate scientific research. For the core performance metrics of these scenarios, it is urgent to study their fundamental limits, namely network information theory. The research progress will also in turn promote technological advancements in practical applications.

In this Special Issue, we focus on (but are not limited to) characterizing the fundamental limits of core performance metrics related to multiuser and even networked scenarios, and designing schemes to approach these limits. According to different scenarios, these metrics include channel capacity, latency, reliability, complexity, secrecy, etc.

This Special Issue will accept unpublished original papers and comprehensive reviews focused on network information theory and its application.

Prof. Dr. Yanlin Geng
Dr. Youlong Wu
Dr. Ling Liu
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

  • network information theory
  • capacity region
  • Gaussian noise
  • information inequality
  • distributed system
  • federated learning
  • channel coding
  • source coding
  • randomness generation
  • integrated sensing and communication
  • coded caching and computing
  • communication for computing
  • network coding

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Published Papers (1 paper)

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Research

12 pages, 834 KiB  
Article
A Post-Processing Method for Quantum Random Number Generator Based on Zero-Phase Component Analysis Whitening
by Longju Liu, Jie Yang, Mei Wu, Jinlu Liu, Wei Huang, Yang Li and Bingjie Xu
Entropy 2025, 27(1), 68; https://doi.org/10.3390/e27010068 - 14 Jan 2025
Viewed by 548
Abstract
Quantum Random Number Generators (QRNGs) have been theoretically proven to be able to generate completely unpredictable random sequences, and have important applications in many fields. However, the practical implementation of QRNG is always susceptible to the unwanted classical noise or device imperfections, which [...] Read more.
Quantum Random Number Generators (QRNGs) have been theoretically proven to be able to generate completely unpredictable random sequences, and have important applications in many fields. However, the practical implementation of QRNG is always susceptible to the unwanted classical noise or device imperfections, which inevitably diminishes the quality of the generated random bits. It is necessary to perform the post-processing to extract the true quantum randomness contained in raw data generated by the entropy source of QRNG. In this work, a novel post-processing method for QRNG based on Zero-phase Component Analysis (ZCA) whitening is proposed and experimentally verified through both time and spectral domain analysis, which can effectively reduce auto-correlations and flatten the spectrum of the raw data, and enhance the random number generation rate of QRNG. Furthermore, the randomness extraction is performed after ZCA whitening, after which the final random bits can pass the NIST test. Full article
(This article belongs to the Special Issue Network Information Theory and Its Applications)
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