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Multiband Monopole Antenna Design for Sub-6 GHz 5G Internet of Things Applications

  • Sunday Enahoro*
  • , Sunday Cookey Ekpo
  • , Andy Gibson
  • , Kin Kee Chow
  • , Helen Ji
  • , Khaled Rabie
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

Abstract

Monopole antenna plays a vital role in mobile Internet of Things (IoT) applications because of its low cost, low form factor, and size. The SWaP-C (size, weight, and power-cost) constraints of mobile Internet of Things (IoT) device poses extra challenges for antenna designers. These challenges are due to the expected large-scale integration of various multifrequency transceiver subsystems such as 5G new radio (NR) sub-6 GHz (3.3–5 GHz), 5G NR mmWave (24–30 GHz), adaptive beamforming, and 4x4 multiple-input multiple-output capabilities presently challenging design considerations for 5G antenna development. This paper proposes a novel multiband planar monopole antenna for 5G sub-6 GHz NR frequency bands for mobile handsets, smart Internet of Things devices, and small satellites (including nanosatellites/CubeSats). The gain (dBi)-resonance frequency (MHz) responses of the proposed antenna are (1.86, 960), (3.6, 1910), (1.74, 2440), and (3.16, 3050) with bandwidths of 854–1043 MHz, 1673–2559 MHz, and 2932–3800 MHz.

Original languageEnglish
Title of host publicationSignals and Communication Technology
PublisherSpringer Science and Business Media Deutschland GmbH
Pages113-123
Number of pages11
DOIs
StatePublished - 2024
Externally publishedYes

Publication series

NameSignals and Communication Technology
VolumePart F2583
ISSN (Print)1860-4862
ISSN (Electronic)1860-4870

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • 5G mobile handset
  • Beamforming
  • CubeSat
  • Internet of Things
  • Multiband antenna
  • Planar monopole
  • Receiver sensitivity

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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