Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.1
2.6
Journals
Electronics
Special Issues
Wireless Communications Channel
share announcement

Wireless Communications Channel

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (31 May 2025) | Viewed by 1707

Special Issue Editors

Dr. Marshed Kassim Mohamed

E-Mail Website
Guest Editor
Department of Electronic Systems, Norwegian University of Science and Technology, 2815 Gjøvik, Norway
Interests: telecommunication; radio communications; channel models; wireless sensor networks
Prof. Dr. Fernando Perez Fontan

E-Mail Website
Guest Editor
Department of Theory of the Signal and Communication, University of Vigo, 36310 Vigo, Spain
Interests: signal theory and communications

Special Issue Information

Dear Colleagues,

The Special Issue (Wireless Communications Channel) is intended to publish full papers and shorter communications on original contributions within the physical layer of wireless communication. Specifically, the issue focuses on channel measurements, properties, modeling, and their application in different communication scenarios, including wireless, mobile, satellite, and telecommunications. Emphasis is placed on research that links the fundamental theories on the propagation of electromagnetic waves through space, air, and other media to the measured properties and/or proposed models. The issue also extends its coverage to the impact of the wireless channel in the design and application of antenna and signal processing algorithms.

Dr. Marshed Kassim Mohamed
Prof. Dr. Fernando Perez Fontan
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. Electronics 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

  • wireless channel properties
  • wireless channel models
  • electromagnetic propagation
  • antenna design
  • wireless signal processing
  • wireless channel applications

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

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

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

20 pages, 4802 KB  
Article
How Efficient Are Handovers in Mobile Networks? A Data-Driven Approach
by Viviana Parraga-Villamar, Pablo Lupera-Morillo and Felipe Grijalva
Electronics 2025, 14(16), 3208; https://doi.org/10.3390/electronics14163208 - 13 Aug 2025
Viewed by 386
Abstract
This work analyzes handover (HO) efficiency in mobile networks using real-world data, addressing key challenges that affect connection stability, latency, and network load. Unsuccessful HOs—often caused by suboptimal parameter settings, network congestion, or rapid user movement—are identified as a major problem. To address [...] Read more.
This work analyzes handover (HO) efficiency in mobile networks using real-world data, addressing key challenges that affect connection stability, latency, and network load. Unsuccessful HOs—often caused by suboptimal parameter settings, network congestion, or rapid user movement—are identified as a major problem. To address these issues, the study evaluates key radio frequency indicators such as Received Signal Strength Indicator (RSSI), Reference Signal Received Quality (RSRQ), Signal to Interference plus Noise Ratio (SINR), and the HO ratio, along with mobility-related factors including user direction and the ping-pong effect. A set of key performance indicators (KPIs) is used to quantify performance: Handover Rate (HOR), Handover Ping-Pong (HOPP), and Unnecessary Handover (UHO).The evaluation, based on real-world network data, shows an average HOR of 79.9%, an HOPP rate of 72.45%, and 14.83% of HOs classified as unnecessary. These findings reveal the limitations of traditional static threshold-based strategies and emphasize the need for adaptive, data-driven optimization approaches.The results demonstrate that a comprehensive HO strategy integrating multiple real-time parameters is essential for efficient mobility management and improving overall network reliability and user experience. This study reinforces the importance of leveraging real operational data to refine and validate mobility algorithms in modern cellular systems. Full article
(This article belongs to the Special Issue Wireless Communications Channel)
►▼ Show Figures

Figure 1

22 pages, 1935 KB  
Article
Blockage Prediction of an Urban Wireless Channel Characterization Using Classification Artificial Intelligence
by Saud Alhajaj Aldossari
Electronics 2025, 14(10), 2007; https://doi.org/10.3390/electronics14102007 - 15 May 2025
Viewed by 697
Abstract
The global deployment of 5G wireless networks has introduced significant advancements in data rates, latency, and energy efficiency. However, the rising demand for immersive applications (e.g., virtual and augmented reality) necessitates even higher data rates and lower latency, driving research toward sixth-generation (6G) [...] Read more.
The global deployment of 5G wireless networks has introduced significant advancements in data rates, latency, and energy efficiency. However, the rising demand for immersive applications (e.g., virtual and augmented reality) necessitates even higher data rates and lower latency, driving research toward sixth-generation (6G) wireless networks. This study addresses a major challenge in post-5G communication: mitigating signal blockage in high-frequency millimeter-wave (mmWave) bands. This paper proposes a novel framework for blockage prediction using AI-based classification techniques to enhance signal reliability and optimize connectivity. The proposed framework is evaluated comprehensively using performance metrics such as accuracy, precision, recall, and F1-score. Notably, the NN Model 4 achieves a classification accuracy of 99.8%. Comprehensive visualizations—such as learning curves, confusion matrices, ROC curves, and precision-recall plots—highlight the model’s performance. This study contributes to the development of AI-driven techniques that enhance reliability and efficiency in future wireless communication systems. Full article
(This article belongs to the Special Issue Wireless Communications Channel)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop