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Topics from the 2025 Biennial Symposium on 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: closed (15 June 2026) | Viewed by 859

Editors


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Guest Editor
Department of Electrical and Computer Engineering, University of Sherbrooke, Sherbrooke, QC J1K 2R1, Canada
Interests: array processing; MIMO systems; massive MIMO; signal processing; wireless communications; radio propagation and channel models
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Electrical Engineering & Computer Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada
Interests: wireless communications; MIMO; CDMA; OFDM SC-FDMA; modulation; error control coding

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Guest Editor
Department of Computer Science, Université de Sherbrooke, 2500 Bd de l’Université, Sherbrooke, QC J1K 2R1, Canada
Interests: complexity of quantum computation; algorithmics; information theory; communication and quantum cryptography

Special Issue Information

Dear Colleagues,

This Special Issue was created as a parallel publication associated with the 2025 edition of the Biennial Symposium on Communications (BSC). The latter is a prestigious international research conference presented by the Canadian Society on Information Theory, which has a rich scholarly and communal history dating back to 1962. The 2025 edition will be held in Sherbrooke, Quebec, Canada, on 3–6 June 2025. In keeping with tradition of previous editions, the event will feature world-class plenary talks, tutorials, and technical sessions covering a broad range of topics in communications, information theory, and signal processing, including (but not limited to) 6G, cybersecurity, quantum communications, information theory for communications, coding, signal processing for communications, etc.

The authors of the best presentations at BSC will be invited to submit a full paper to this Special Issue, where the guest editors are also involved with the technical program of the Symposium. However, outside of these invitations, all researchers/authors are encouraged to submit a manuscript as long as it is within the technical scope of BSC. This scope is broadly outlined in the previous paragraph and covers, while not being limited to, the following specific topics:

  • Quantum Key Distribution (QKD);
  • Quantum Computing for Network Security;
  • Post-Quantum Cryptography;
  • Information Theory in Quantum Systems;
  • Physical Layer Security Techniques;
  • Cybersecurity for IoT and Large-Scale Networks;
  • Blockchain for Secure Communication;
  • Advanced Intrusion Detection Systems;
  • Hybrid And Full-Duplex Massive MIMO;
  • Cell-free Massive MIMO;
  • Advanced Beamforming Techniques;
  • Interference Management for Dense Networks;
  • Spectrum and Regulatory Issues for 6G;
  • Terahertz (THz) Communications;
  • Reconfigurable Intelligent Surfaces (RIS);
  • Integrated Sensing and Communications (ISAC);
  • Advanced Coding Techniques for 6G;
  • Ultra-Low-Power Communication Systems;
  • AI-Driven Network Management and Optimization;
  • Federated Learning in Communication Systems;
  • IoT, Smart Cities, and Autonomous Systems;
  • Low-Power Wide-Area Networks (WSNs).

Thus, the Special Issue is a vehicle to broaden the scientific exchanges of BSC to the broader scientific community and we look forward to receiving your quality contributions.

Prof. Dr. Sébastien Roy
Prof. Dr. Claude D’Amours
Dr. Abdellah Chehri
Dr. Dave Touchette
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

  • 6G
  • quantum communications
  • coding
  • signal processing
  • cybersecurity
  • ultra-low-power communications
  • massive MIMO
  • advanced beamforming
  • IoT
  • ultra-dense networks

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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Research

26 pages, 3594 KB  
Article
Master Mix Localization Algorithm for Autonomous Systems in Indoor Environments
by Zakaryae Ezzouine, Adil Salbi, Mohamed Abouzahir, Ilham Elmourabit, Adil Brouri and Sébastien Roy
Entropy 2026, 28(8), 903; https://doi.org/10.3390/e28080903 - 12 Aug 2026
Abstract
Reliable navigation in GPS-denied environments remains a critical challenge for autonomous vehicles (AVs), particularly in complex indoor and urban settings. GPS-based localization systems often fail under these conditions, highlighting the need for resilient multimodal solutions. In this article, we present a radar-assisted tracking [...] Read more.
Reliable navigation in GPS-denied environments remains a critical challenge for autonomous vehicles (AVs), particularly in complex indoor and urban settings. GPS-based localization systems often fail under these conditions, highlighting the need for resilient multimodal solutions. In this article, we present a radar-assisted tracking system that integrates LiDAR and inertial measurements within a sensor-fusion architecture to achieve robust navigation. The principal methodological contribution is a unified tracking and prediction framework that combines Bayesian state estimation with learning-based temporal prediction, enabling accurate tracking while continuously forecasting the slave robot’s short-term future state from mapping observations generated by the master robot, with a typical end-to-end perception-to-action latency of 20–60 ms. The communication and prediction forecasting module operates with an update interval below 35 ms, enabling real-time cooperative robotic operation. Sensor data are fused through a pipeline incorporating Gaussian Mixture Models (GMMs) for post-processing, which helps mitigate the limitations associated with individual sensors during edge processing. Moreover, Kalman filtering is employed to mitigate sensor noise and drift, thereby improving state estimation accuracy through trajectory smoothing. The fused spatiotemporal information is subsequently exploited by a Convolutional Recurrent Neural Network (CRNN) coupled with a Nonlinear Autoregressive model with eXogenous Inputs (NARX) to model the robot’s motion dynamics and provide short-horizon state prediction. Through simulations and real-world indoor experiments conducted in GPS-denied environments, we validate the system’s ability to provide accurate and continuous pose estimation with low localization errors. Experimental results show that the proposed framework achieves root-mean-square errors of 0.12 m, 0.15 m, and 0.28 m along the X, Y, and Z axes, respectively, while maintaining sub-meter maximum position deviations throughout the evaluated trajectories. These results confirm that the proposed framework provides reliable localization and predictive state estimation for cooperative robotic navigation in indoor GPS-denied environments. Future work will investigate outdoor validation and extend the framework to additional data-driven decision-making models for future robotic services. Full article
(This article belongs to the Special Issue Topics from the 2025 Biennial Symposium on Communications)
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