Disruptive Antenna Technologies Making 5G a Reality, 2nd Edition

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

Deadline for manuscript submissions: closed (15 November 2024) | Viewed by 1663

Special Issue Editors


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Guest Editor
Electrical and Electronic Engineering, Macquarie University, Macquarie Park, NSW 2109, Australia
Interests: antennas; electromagnetics; carbon nanotubes; wearable; 3d printing; high-impedance surfaces; frequency-selective surfaces; 5G; mmWave; millimeter wave; PDMS; high gain; base station; UHF; VHF; beam steering
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast BT9 5BN, UK
Interests: antennas; filters; lenses
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With this Special Issue, we wish to give a platform to success stories surrounding 5G-enabling antenna technologies and what future prospects they carry with them. 5G antennas are known to be a new type of antenna that are highly integrated, support flexible all-band configuration, and enable scenario-specific beam management. Unlike 3G and 4G antennas that provide coverage with fixed beam patterns and directivity, 5G antennas must support on-demand beamforming according to application scenarios and user distributions. 5G antennas must be able to support beam management to help deliver precise coverage in target areas while significantly suppressing interference in other areas. Finally, antennas must evolve from plug-and-play components in 3G and 4G networks to key network elements that support flexible beam configuration and management in 5G networks.

Dr. Syed Muzahir Abbas
Dr. Muhammad Ali Babar Abbasi
Guest Editors

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Keywords

  • antenna design
  • 5G antennas
  • beyond 5G
  • 6G antennas
  • 3D printed technology
  • additive manufacturing
  • reconfigurable
  • millimeter wave
  • beam steering
  • beamforming
  • base station antenna
  • MIMO
  • multi-port antennas
  • flexible
  • materials
  • RF sensors
  • RF front ends
  • polymer based
  • characterization
  • antenna applications: IoT, space, wearable, sports, healthcare, vehicular, M2M, construction, etc.

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Published Papers (1 paper)

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Review

28 pages, 2808 KiB  
Review
A Comprehensive Review on Conventional and Machine Learning-Assisted Design of 5G Microstrip Patch Antenna
by Nupur Chhaule, Chaitali Koley, Sudip Mandal, Ahmet Onen and Taha Selim Ustun
Electronics 2024, 13(19), 3819; https://doi.org/10.3390/electronics13193819 - 27 Sep 2024
Viewed by 1281
Abstract
A significant advancement in wireless communication has occurred over the past couple of decades. Nowadays, people rely more on services offered by the Internet of Things, cloud computing, and big data analytics-based applications. Higher data rates, faster transmission/reception times, more coverage, and higher [...] Read more.
A significant advancement in wireless communication has occurred over the past couple of decades. Nowadays, people rely more on services offered by the Internet of Things, cloud computing, and big data analytics-based applications. Higher data rates, faster transmission/reception times, more coverage, and higher throughputs are all necessary for these emerging applications. 5G technology supports all these features. Antennas, one of the most crucial components of modern wireless gadgets, must be manufactured specifically to meet the market’s growing demand for fast and intelligent goods. This study reviews various 5G antenna types in detail, categorizing them into two categories: conventional design approaches and machine learning-assisted optimization approaches, followed by a comparative study on various 5G antennas reported in publications. Machine learning (ML) is receiving a lot of emphasis because of its ability to identify optimal outcomes in several areas, and it is expected to be a key component of our future technology. ML is demonstrating an evident future in antenna design optimization by predicting antenna behavior and expediting optimization with accuracy and efficiency. The analysis of performance metrics used to evaluate 5G antenna performance is another focus of the assessment. Open research problems are also investigated, allowing researchers to fill up current research gaps. Full article
(This article belongs to the Special Issue Disruptive Antenna Technologies Making 5G a Reality, 2nd Edition)
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