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Technologies
Special Issues
Intelligent Reflecting Surfaces for 5G and Beyond Volume II
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Intelligent Reflecting Surfaces for 5G and Beyond Volume II

A special issue of Technologies (ISSN 2227-7080). This special issue belongs to the section "Information and Communication Technologies".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 3249

Special Issue Editors

Prof. Dr. Sotirios K. Goudos

E-Mail Website
Guest Editor
Department of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Interests: antenna design; microwave components design; wireless communications; evolutionary algorithms; machine learning
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Shaohua Wan

E-Mail Website
Guest Editor
Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen 518110, China
Interests: Internet of Things (IoT); edge computing; machine learning; computer vision; cyber physical systems; future Internet architecture and smart-energy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Reconfigurable intelligent surfaces (RISs) or intelligent reflecting surfaces (IRSs) are an emerging transmission technology for application in wireless communications. They can reconfigure the wireless propagation environment via software-control reflection. Following the recent breakthrough in the fabrication of programmable metamaterials, reconfigurable intelligent surfaces have the potential to fulfill the challenging vision for 6G networks and materialize seamless connections and intelligent software-based control of the environment in wireless communication systems. Since IRS reflection beamforming prediction requires the perfect and imperfect channel knowledge, channel estimation is a crucial aspect for predicting IRS interaction matrices. In this context, IRS is combined with machine learning (ML) techniques, which are particularly powerful in providing channel estimation. This Special Issue aims at publishing high-quality research papers, as well as review articles addressing recent advances on IRS-aided wireless communications for 5G and beyond. Potential topics include but are not limited to the following:

  • IRS antenna design;
  • IRS channel modeling;
  • IRS channel capacity and performance limits;
  • IRS and ML techniques;
  • IRS channel estimation and channel feedback;
  • IRS indoor channel characterization;
  • IRS and NOMA techniques;
  • IRS prototyping and experimental results;
  • Cross-layer design for IRS-aided communications;
  • IRS and wireless power transfer communication;
  • IRS and mobile edge computing systems;
  • IRS and physical layer security techniques;
  • IRS and vehicle communications;
  • IRS transmissive and hybrid.

Relevant journals can be visited at: https://www.mdpi.com/journal/technologies/special_issues/Intelligent_5G

Dr. Sotirios K. Goudos
Prof. Dr. Shaohua Wan
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. Technologies 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 1600 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

  • intelligent reflecting surfaces
  • reconfigurable intelligent surfaces
  • 5G
  • 6G
  • machine learning

Published Papers (2 papers)

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Research

9 pages, 6879 KiB  
Communication
A 28 GHz Highly Linear Up-Conversion Mixer for 5G Cellular Communications
by Chul-Woo Byeon
Technologies 2024, 12(3), 35; https://doi.org/10.3390/technologies12030035 - 07 Mar 2024
Viewed by 965
Abstract
In this paper, we present a highly linear direct in-phase/quadrature (I/Q) up-conversion mixer for 5G millimeter-wave applications. To enhance the linearity of the mixer, we propose a complementary derivative superposition technique with pre-distortion. The proposed up-conversion mixer consists of a quadrature generator, LO [...] Read more.
In this paper, we present a highly linear direct in-phase/quadrature (I/Q) up-conversion mixer for 5G millimeter-wave applications. To enhance the linearity of the mixer, we propose a complementary derivative superposition technique with pre-distortion. The proposed up-conversion mixer consists of a quadrature generator, LO buffer amplifiers, and an I/Q up-conversion mixer core and achieves an output third-order intercept point of 15.7 dBm and an output 1 dB compression point of 2 dBm at 27.6 GHz, while it consumes 15 mW at a supply voltage of 1 V. The conversion gain is 11.4 dB and the LO leakage and image rejection ratio are −56 dBc and 61 dB, respectively, in the measurement. The proposed I/Q up-conversion mixer is suitable for 5G cellular communication systems. Full article
(This article belongs to the Special Issue Intelligent Reflecting Surfaces for 5G and Beyond Volume II)
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16 pages, 7609 KiB  
Article
A Miniaturized Antenna for Millimeter-Wave 5G-II Band Communication
by Manish Varun Yadav, Chandru Kumar R, Swati Varun Yadav, Tanweer Ali and Jaume Anguera
Technologies 2024, 12(1), 10; https://doi.org/10.3390/technologies12010010 - 18 Jan 2024
Viewed by 1713
Abstract
This article introduces a miniaturized antenna for 5G-II band millimeter-wave communication. The antenna’s performance is meticulously examined through comprehensive simulations carried out using CST Microwave Studio, employing an FR-4 substrate with dimensions measuring 12 × 14 × 1.6 mm3. The proposed [...] Read more.
This article introduces a miniaturized antenna for 5G-II band millimeter-wave communication. The antenna’s performance is meticulously examined through comprehensive simulations carried out using CST Microwave Studio, employing an FR-4 substrate with dimensions measuring 12 × 14 × 1.6 mm3. The proposed design exhibits exceptional qualities, featuring an impressive impedance bandwidth of 70.4% and a remarkable return loss of −35 dBi. The operational frequency range of this antenna extends from 16.2 GHz to 33.8 GHz, featuring a central frequency of 25 GHz, positioning it effectively within the 5G-II Band. The antenna consistently maintains polar patterns throughout this spectrum, which guarantees dependable and efficient performance. It showcases a substantial gain of 3.85 dBi and an impressive efficiency rating of 82.9%. Renowned for its versatility, this antenna is well suited for a diverse range of applications, including but not limited to Ka band, Ku band, 5G-II bands, and various other purposes in microwaves. Full article
(This article belongs to the Special Issue Intelligent Reflecting Surfaces for 5G and Beyond Volume II)
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