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Entropy
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Key Technologies Towards Future Wireless Networks
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Key Technologies Towards Future Wireless Networks

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 724

Editors

Dr. Qianfan Wang

E-Mail Website
Guest Editor
Department of Computer Science, City University of Hong Kong, Hong Kong, China
Interests: channel coding; applied information theory; coding for wireless communications; quantum error correction
Dr. Wanting Ji

E-Mail Website
Guest Editor
Faculty of Information, Liaoning University, Shenyang 110036, China
Interests: deep learning; data mining
Dr. Shuangyang Li

E-Mail Website
Guest Editor
The Faculty of Electrical Engineering and Computer Science, Technical University of Berlin, 10632 Berlin, Germany
Interests: delay-Doppler domain communications; waveform design; signal processing; channel coding; applied information theory
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Future wireless networks are expected to support increasingly demanding requirements, including high reliability, high spectral efficiency, low latency, high mobility, and strong adaptability across diverse application scenarios. To address these challenges, this Special Issue focuses on recent advances in coding, modulation, waveform design, and intelligent techniques for future wireless communications and sensing.

Coding and modulation remain fundamental to efficient and reliable transmission. We welcome contributions on coding theory, code design, decoding algorithms, finite-blocklength coding, coded modulation, probabilistic shaping, multiuser transmission, and other transmission techniques that improve the robustness, efficiency, and flexibility of wireless and networked systems. Waveform design is also of growing importance for emerging communication scenarios, especially in time-varying and doubly selective channels, high-mobility systems, delay–Doppler signaling, and integrated sensing and communications. In parallel, intelligent techniques are becoming increasingly important in wireless applications, including learning-aided detection and decoding, intelligent receivers, channel estimation, signal recovery, adaptive transmission, and low-complexity signal processing methods.

This Special Issue aims to provide a platform for researchers to present new theories, methods, and applications that advance the design of future wireless networks. We invite contributions of both papers recommended from ISWCS 2026 and regular submissions through the standard journal review process.

Dr. Qianfan Wang
Dr. Wanting Ji
Dr. Shuangyang Li
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

  • channel coding
  • coded modulation
  • finite-blocklength coding
  • probabilistic shaping
  • waveform design
  • delay–Doppler signaling
  • high-mobility communications
  • integrated sensing and communications
  • intelligent receivers
  • learning-aided detection and decoding

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Published Papers (1 paper)

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Research

23 pages, 602 KB  
Article
Prior-Assisted Hierarchical ADMM Decoding for Punctured Globally Coupled LDPC Codes
by Wenbo Shi, Wenlong Xie, Jiashen Hu and Lishan Liu
Entropy 2026, 28(7), 815; https://doi.org/10.3390/e28070815 - 17 Jul 2026
Viewed by 326
Abstract
Future wireless networks require channel coding schemes that can provide high reliability, low latency, and strong adaptability under finite-blocklength and structurally heterogeneous transmission scenarios. Globally coupled low-density parity-check (GC-LDPC) codes are promising for such systems because their coupled structure can enhance error-correction capability, [...] Read more.
Future wireless networks require channel coding schemes that can provide high reliability, low latency, and strong adaptability under finite-blocklength and structurally heterogeneous transmission scenarios. Globally coupled low-density parity-check (GC-LDPC) codes are promising for such systems because their coupled structure can enhance error-correction capability, but the additional global constraints also increase decoding complexity and make conventional fixed-parameter decoders less effective. This paper proposes a prior-assisted hierarchical alternating direction method of multipliers (ADMMs) decoding framework for GC-LDPC codes. The proposed decoder first partitions the GC-LDPC parity-check structure into two local subgraphs and performs tuned ADMM decoding on the local blocks in parallel. The local decoding outputs are then merged and verified by the full GC-LDPC parity-check matrix. If the merged local decision satisfies all global constraints, it is directly accepted, thereby avoiding unnecessary full-graph decoding. Otherwise, a global fallback ADMM decoder is activated. In this stage, the channel log-likelihood ratios are fused with soft priors extracted from the local ADMM outputs, where prior clipping and conflict scaling are introduced to control unreliable or contradictory local information. The resulting fused reliability information is used to guide full-matrix ADMM decoding. This local-to-global strategy reduces unnecessary global iterations while preserving the ability to enforce global consistency when local decoding is insufficient. Simulation-oriented metrics, including bit error rate, frame error rate, local pass rate, global fallback rate, global fallback success rate, and average iteration count, are used to evaluate reliability and decoding efficiency. The proposed framework provides an average-complexity-aware and reliability-aware decoding approach for advanced channel coding in future wireless networks. Full article
(This article belongs to the Special Issue Key Technologies Towards Future Wireless Networks)
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