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Applied Sciences
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Applications of Wireless and Mobile Communications, 2nd Edition
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Applications of Wireless and Mobile Communications, 2nd Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: 20 November 2026 | Viewed by 382

Special Issue Editor

Dr. Mario Marques Da Silva

E-Mail Website
Guest Editor
1. Institute of Telecommunications, 1049-001 Lisboa, Portugal
2. Department of Sciences and Technologies, Autonoma University of Lisbon, 1150-293 Lisboa, Portugal
Interests: cellular communications; 5G and beyond; massive-MIMO; millimeter-wave communications; block transmission techniques; NOMA
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Following the strong response and impactful contributions of the first edition, “Applications of Wireless and Mobile Communications, 2nd Edition” aims to further explore emerging developments and foster continued collaboration within the wireless and mobile communications community.

Wireless and mobile communications are pivotal in today’s interconnected world, enabling seamless connectivity and data exchange. This Special Issue of the MDPI journal Applied Sciences delves into the transformative impact of these technologies, exploring innovative applications and addressing emerging challenges. The rapid evolution of wireless communication has paved the way for advanced scenarios, integrating machine learning, IoT, and cybersecurity to meet growing bandwidth demands and sustainability goals. Key topics include AI-driven communication strategies, robust wireless sensor networks, and novel applications that enhance real-time, mission-critical operations. This Special Issue invites cutting-edge research that contributes to this field’s growth, ensuring efficient, secure, and eco-friendly communication solutions.

Dr. Mario Marques Da Silva
Guest Editor

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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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

  • sustainable wireless technology
  • latency mitigation
  • interference mitigation
  • diversity
  • internet of things
  • privacy
  • AI in communications

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Published Papers (1 paper)

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Research

18 pages, 2493 KB  
Article
Deep Learning-Based Receiver for Low-Complexity 6G Partial LIS Architectures
by Mário Marques da Silva, Héctor Orrillo and Rui Dinis
Appl. Sci. 2026, 16(7), 3429; https://doi.org/10.3390/app16073429 - 1 Apr 2026
Viewed by 247
Abstract
The sixth generation (6G) of wireless networks demands extreme energy efficiency and massive connectivity, positioning large intelligent surfaces (LIS) as a pivotal technology. However, the practical deployment of LIS is constrained by the overwhelming computational complexity and power consumption required to process thousands [...] Read more.
The sixth generation (6G) of wireless networks demands extreme energy efficiency and massive connectivity, positioning large intelligent surfaces (LIS) as a pivotal technology. However, the practical deployment of LIS is constrained by the overwhelming computational complexity and power consumption required to process thousands of antenna elements. To address these challenges, this article proposes a deep learning-based receiver architecture that integrates the spatial efficiency of Partial LIS with advanced non-linear detection. By activating only a subset of antenna panels closest to the user terminal (Partial LIS), the system significantly reduces hardware overhead and Radio Frequency (RF) power consumption. To compensate for the performance loss, the multi-user interference (MUI) generated by the linear combining stage, and the increased MUI inherent in a reduced-aperture environment, a specialized Multilayer Perceptron (MLP) network is implemented. Unlike traditional Zero-Forcing (ZF) or Minimum Mean Squared Error (MMSE) receivers, which require energy-intensive matrix inversions for each frequency component, the proposed neural-network-enabled receiver achieves near-optimal performance using low-complexity combining followed by intelligent learning-based interference suppression. Simulation results demonstrate that the proposed hybrid architecture provides a scalable, “green” solution for 6G uplink scenarios. Notably, the deep learning approach is shown to effectively suppress the performance loss of reduced apertures, achieving a BER comparable to traditional linear benchmarks even with a reduced physical aperture, maintaining good Bit Error Rate (BER) performance while dramatically reducing the computational and hardware footprint. Full article
(This article belongs to the Special Issue Applications of Wireless and Mobile Communications, 2nd Edition)
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