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Electronics
Special Issues
Next-Generation Indoor Wireless Communication
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Next-Generation Indoor Wireless Communication

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

Deadline for manuscript submissions: 15 October 2024 | Viewed by 1240

Special Issue Editors

Prof. Dr. Jiliang Zhang

E-Mail Website
Guest Editor
College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
Interests: wireless channel modeling; modulation system; relay system; vehicular communications; ultradense small cell networks; building wireless performance
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Guanjun Xu

E-Mail Website
Guest Editor
Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai 200241, China
Interests: radio wave propagation over fading channels; wave scattering in random media; optical wireless communications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue (SI) aims to collate research papers that disseminate novel theory, methods, and techniques for next-generation indoor wireless communication. More than 80% of wireless traffic takes place indoors; however, substantial research is still needed in this area. First, indoor wireless channel must be investigated carefully as building structures have a significant impact on in-building wireless networks, e.g., blockage, reflection, diffraction, etc. For accurate indoor wireless channel modeling, characterizing the scattering properties of building materials is urgently needed. Second, short-range communication techniques, such as ultra-dense small cell networks, mmwave/Terahertz communications, near-field MIMO system, etc., have great potential to further enhance indoor wireless networks. Third, building material with integrated wireless devices, e.g., reconfigurable intelligent surface, transparent antennas and concrete embedded antennas, is promising to eliminate negative consequences on weight, space, and visual impact of wireless infrastructure. Fourth, complex indoor radio propagation brings challenge to indoor wireless sensing in the emerging integrated sensing and communication system. Finally, building wireless performance, as a new concept that bridges the gap between wireless communications and building design communities, provides an efficient pathway to enhance indoor wireless in the building design stage. Therefore, this Special Issue invites high-quality submissions with recent breakthroughs in next-generation indoor wireless communication.

Topics of interest include, but are not limited to, the following:

  • Smart built environment;
  • Building wireless performance;
  • Wireless-friendly buildings;
  • Wireless-friendly building materials;
  • Transparent antenna systems;
  • Concrete embedded antenna systems;
  • Reconfigurable intelligent surface;
  • Indoor channel modeling;
  • Indoor channel sounding;
  • Scattering properties of building materials;
  • Short-range communication techniques;
  • Ultra-dense small cell networks;
  • Mmwave communications;
  • Terahertz communications;
  • Near-field MIMO system;
  • Extremely large antenna array;
  • Integrated sensing and communication;
  • Indoor positioning.

Prof. Dr. Jiliang Zhang
Prof. Dr. Guanjun Xu
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

  • smart built environment
  • building wireless performance
  • wireless-friendly buildings
  • wireless-friendly building materials
  • transparent antenna systems
  • concrete embedded antenna systems
  • reconfigurable intelligent surface
  • indoor channel modeling
  • indoor channel sounding
  • scattering properties of building materials
  • short-range communication techniques
  • ultra-dense small cell networks
  • mmwave communications
  • terahertz communications
  • near-field
  • MIMO system
  • extremely large antenna array
  • integrated sensing and communication
  • indoor positioning

Published Papers (2 papers)

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Research

15 pages, 7662 KiB  
Article
Scaled Model for Studying the Propagation of Radio Waves Diffracted from Tunnels
by Ori Glikstein, Gad A. Pinhasi and Yosef Pinhasi
Electronics 2024, 13(10), 1983; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics13101983 (registering DOI) - 18 May 2024
Viewed by 203
Abstract
One of the major challenges in designing a wireless indoor–outdoor communication network operating in tunnels and long corridors is to identify the optimal location of the outside station for attaining a proper coverage. It is required to formulate a combined model, describing the [...] Read more.
One of the major challenges in designing a wireless indoor–outdoor communication network operating in tunnels and long corridors is to identify the optimal location of the outside station for attaining a proper coverage. It is required to formulate a combined model, describing the propagation along the tunnel and the resulting diffracted outdoor pattern from its exit. An integrated model enables estimations of the radiation patterns at the rectangular tunnel exit, as well as in the free space outside of the tunnel. The tunnel propagation model is based on a ray-tracing image model, while the free-space diffraction model is based on applying the far-field Fraunhofer diffraction equation. The model predictions of sensing the radiation intensity at the tunnel end and at a plane located at a distance ahead were compared with experimental data obtained using a down-scaled tunnel model and shorter radiation wavelength correspondingly. This down-scaling enabled detailed measurements of the radiation patterns at the tunnel exit and at the far field. The experimental measurements for the scaled tunnel case fit the theoretical model predictions. The presented model accurately described the multi-path effects emerging from inside the tunnel and the resulting outdoor diffracted pattern at a distance from the tunnel exit. Full article
(This article belongs to the Special Issue Next-Generation Indoor Wireless Communication)
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16 pages, 3382 KiB  
Article
Neural Network-Based Detection of OCC Signals in Lighting-Constrained Environments: A Museum Use Case
by Saray Rufo, Lidia Aguiar-Castillo, Julio Rufo and Rafael Perez-Jimenez
Electronics 2024, 13(10), 1828; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics13101828 - 8 May 2024
Viewed by 398
Abstract
This research presents a novel approach by applying convolutional neural networks (CNNs) to enhance optical camera communication (OCC) signal detection under challenging indoor lighting conditions. The study utilizes a smartphone app to capture images of an LED lamp that emits 25 unique optical [...] Read more.
This research presents a novel approach by applying convolutional neural networks (CNNs) to enhance optical camera communication (OCC) signal detection under challenging indoor lighting conditions. The study utilizes a smartphone app to capture images of an LED lamp that emits 25 unique optical codes at distances of up to four meters. The developed CNN model demonstrates superior accuracy and outperforms traditional methodologies, which often struggle under variable illumination. This advancement provides a robust solution for reliable OCC detection where previous methods underperform, particularly in the tourism industry, where it can be used to create a virtual museum on the Unity platform. This innovation showcases the potential of integrating the application with a virtual environment to enhance tourist experiences. It also establishes a comprehensive visible light positioning (VLP) system, marking a significant advance in using CNN for OCC technology in various lighting conditions. The findings underscore the effectiveness of CNNs in overcoming ambient lighting challenges, paving the way for new applications in museums and similar environments and laying the foundation for future OCC system improvements. Full article
(This article belongs to the Special Issue Next-Generation Indoor Wireless Communication)
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