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Information Theory for Future Communication Systems

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 December 2026 | Viewed by 1531

Editors


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Guest Editor
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
Interests: network information theory; integrated sensing and communication; millimeter-wave communications; AI-driven wireless design; information security
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Engineering, The University of Newcastle, Callaghan, NSW 2308, Australia
Interests: information theory; wireless communications; network coding; index coding; information-theoretic security and privacy
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Electrical Communication Engineering, Sun Yat-sen University, Shenzhen 518000, China
Interests: information theory and coding; security; ISAC; AI; vehicle–road collaboration
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
Interests: channel coding theory; signal processing for wireless communication; convex optimization; machine learning

Special Issue Information

Dear Colleagues,

The rapid advancement of wireless communications is transforming how we connect and exchange information. As we progress toward B5G and 6G, future communication systems will incorporate groundbreaking applications and features, including multi-band integration, massive connectivity, extremely large antenna arrays, multifunctional capabilities (such as integrated sensing and communication), and AI-driven networking. Traditional Shannon-based information theory is no longer sufficient to address the complexity of these next-generation systems. A significant gap remains in modeling and analyzing future communication networks—a gap that novel information-theoretic frameworks must bridge. By extending and redefining classical theories, researchers can establish fundamental performance limits, develop optimal communication mechanisms, and design innovative coding schemes that will drive the practical design and optimization of future communication systems.

We invite original contributions that advance information-theoretic models, analytical methods, and novel solutions for future communication systems. Topics of interest include, but are not limited to, the following:

  • Information theory for integrated sensing and communication;
  • Information theory for short-packet transmission;
  • Fundamental limits of systems with massive connectivity;
  • Fundamental limits of systems with massive MIMO;
  • Fundamental limits of systems with reconfigurable intelligent surfaces;
  • Fundamental limits of systems with movable/fluid antennas;
  • Information-theoretic foundations for machine learning;
  • Information-theoretic foundations for machine learning-driven wireless communications;
  • Information-theoretic security and privacy;
  • Modern coding theory;
  • Network coding, distributed storage, and caching;
  • Quantum information and coding for future communication.

We look forward to submissions that push the boundaries of information theory and contribute to the development of next-generation communication systems.

Prof. Dr. Min Li
Dr. Lawrence Ong
Dr. Congduan Li
Dr. Mingmin Zhao
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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

  • information theory
  • coding theory
  • information-theoretic security and privacy
  • integrated sensing and communication
  • future wireless systems
  • machine learning-driven wireless communications

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Published Papers (2 papers)

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Research

25 pages, 7507 KB  
Article
A Non-Stationary Geometry-Based MIMO Channel Model for Terahertz UAV-Based Wireless Communication Systems
by Zican Jiang, Yongjun Li, Kai Zhang and Jianguo Liu
Entropy 2026, 28(7), 744; https://doi.org/10.3390/e28070744 - 1 Jul 2026
Viewed by 286
Abstract
UAV-assisted communication is widely regarded as a key component of next-generation Space-Air-Ground Integrated Networks (SAGINs), where integrated sensing and communication (ISAC) further drives the demand for accurate and reliable channel modeling. Terahertz (THz) communications are particularly attractive for UAV platforms, offering ultra-high data [...] Read more.
UAV-assisted communication is widely regarded as a key component of next-generation Space-Air-Ground Integrated Networks (SAGINs), where integrated sensing and communication (ISAC) further drives the demand for accurate and reliable channel modeling. Terahertz (THz) communications are particularly attractive for UAV platforms, offering ultra-high data rates and physically secure transmission. However, the physical heterogeneity between reflection and scattering mechanisms in THz UAV channels poses significant modeling challenges, as conventional unified approaches tend to introduce energy distribution distortion and non-stationary prediction errors. To address this, we propose a 3D non-stationary geometry-based stochastic model (GBSM) based on an ellipse-sphere hierarchical geometric framework, where reflection paths are confined to ground-plane ellipses and scattering paths are distributed over spatial spheres. The model accounts for atmospheric molecular absorption, multipath fading, and non-stationarity induced by random 3D UAV trajectories. A cluster birth-death mechanism is introduced to capture the time-varying evolution of scattering clusters. Key statistical properties, including the temporal auto-correlation function (T-ACF), spatial cross-correlation function (S-CCF), and Doppler power spectral density (DPSD), are derived and analyzed. Simulation results agree well with theoretical derivations, validating the proposed model and providing practical guidance for THz UAV-ISAC system design. Full article
(This article belongs to the Special Issue Information Theory for Future Communication Systems)
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20 pages, 452 KB  
Article
Construction of Efficient High-Rate Protograph QC-LDPC Codes by Joint EXIT Chart, PEG, AWD, and QC-NLACE Techniques
by Ying Chen, Jianrong Bao, Yanhai Shang, Chao Liu and Shenji Luan
Entropy 2026, 28(6), 604; https://doi.org/10.3390/e28060604 - 28 May 2026
Viewed by 347
Abstract
To obtain efficient channel codes with high power efficiency at moderate signal-to-noise ratios (SNRs), an efficient high-rate protograph quasi-cyclic (QC) low-density parity-check (LDPC) codes is optimally constructed. By an optimized protograph template, the code framework is firstly produced by the extensions of the [...] Read more.
To obtain efficient channel codes with high power efficiency at moderate signal-to-noise ratios (SNRs), an efficient high-rate protograph quasi-cyclic (QC) low-density parity-check (LDPC) codes is optimally constructed. By an optimized protograph template, the code framework is firstly produced by the extensions of the variable nodes. By enlarging the dimension of the sub-matrices related to the protograph framework, the base QC matrix template is generated with required code rate and length by the extrinsic information transfer (EXIT) chart for better decoding threshold. Then, the elements in the base matrix are split with even smaller square sub-matrices of the same row and column weights. In this procedure, a progressive-edge-growth (PEG) algorithm is employed to find the optimized positions of the QC sub-matrices to obtain larger girth for better error floor performance. Moreover, an asymptotic weight distribution (AWD) is employed to keep a low-code-error floor for the code. Also the circulant offsets in all QC sub-matrices are optimally searched by a QC oriented nested loop approximated cycle extrinsic message degree (QC-NLACE) algorithm, which improves the relationship of the unavoidable loops in the code’s Tanner graph to cut the error floor. Simulation results show that the codes produced by the proposed method show quite good bit-error-rate (BER) performance. In addition, they exhibit good properties of high spectrum efficiency brought by the high code rate, and the low complexity by the short code length. Moreover, a series of different rate-compatible LDPC codes can be generated from the same protograph framework with some variable node extensions, which significantly eases the code design. Therefore, the proposed code construction can be efficiently applied in the optimal construction of high-rate and short-length rate-compatible QC-LDPC codes with a high data rate and rational complexity, which makes the codes extremely suited for use in new-generation power-constrained wireless communications. Full article
(This article belongs to the Special Issue Information Theory for Future Communication Systems)
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