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Intelligent Reflecting Surfaces Assisted UAV Communications for Massive Networks: Current Trends, Challenges, and Research Directions

An intelligent reflecting surface (IRS) can intelligently configure wavefronts such as amplitude, frequency, phase, and even polarization through passive reflections and without requiring any radio frequency (RF) chains. It is predicted to be a revolutionizing technology with the capability to alter...

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Autores principales: Mohsan, Syed Agha Hassnain, Khan, Muhammad Asghar, Alsharif, Mohammed H., Uthansakul, Peerapong, Solyman, Ahmed A. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322292/
https://www.ncbi.nlm.nih.gov/pubmed/35890955
http://dx.doi.org/10.3390/s22145278
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author Mohsan, Syed Agha Hassnain
Khan, Muhammad Asghar
Alsharif, Mohammed H.
Uthansakul, Peerapong
Solyman, Ahmed A. A.
author_facet Mohsan, Syed Agha Hassnain
Khan, Muhammad Asghar
Alsharif, Mohammed H.
Uthansakul, Peerapong
Solyman, Ahmed A. A.
author_sort Mohsan, Syed Agha Hassnain
collection PubMed
description An intelligent reflecting surface (IRS) can intelligently configure wavefronts such as amplitude, frequency, phase, and even polarization through passive reflections and without requiring any radio frequency (RF) chains. It is predicted to be a revolutionizing technology with the capability to alter wireless communication to enhance both spectrum and energy efficiencies with low expenditure and low energy consumption. Similarly, unmanned aerial vehicle (UAV) communication has attained a significant interest by research fraternity due to high mobility, flexible deployment, and easy integration with other technologies. However, UAV communication can face obstructions and eavesdropping in real-time scenarios. Recently, it is envisaged that IRS and UAV can combine together to achieve unparalleled opportunities in difficult environments. Both technologies can achieve enhanced performance by proactively altering the wireless propagation through maneuver control and smart signal reflections in three-dimensional space. This study briefly discusses IRS-assisted UAV communications. We survey the existing literature on this emerging research topic for both ground and airborne scenarios. We highlight several emerging technologies and application scenarios for future wireless networks. This study goes one step further to elaborate research opportunities to design and optimize wireless systems with low energy footprint and at low cost. Finally, we shed some light on open challenges and future research directions for IRS-assisted UAV communication.
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spelling pubmed-93222922022-07-27 Intelligent Reflecting Surfaces Assisted UAV Communications for Massive Networks: Current Trends, Challenges, and Research Directions Mohsan, Syed Agha Hassnain Khan, Muhammad Asghar Alsharif, Mohammed H. Uthansakul, Peerapong Solyman, Ahmed A. A. Sensors (Basel) Review An intelligent reflecting surface (IRS) can intelligently configure wavefronts such as amplitude, frequency, phase, and even polarization through passive reflections and without requiring any radio frequency (RF) chains. It is predicted to be a revolutionizing technology with the capability to alter wireless communication to enhance both spectrum and energy efficiencies with low expenditure and low energy consumption. Similarly, unmanned aerial vehicle (UAV) communication has attained a significant interest by research fraternity due to high mobility, flexible deployment, and easy integration with other technologies. However, UAV communication can face obstructions and eavesdropping in real-time scenarios. Recently, it is envisaged that IRS and UAV can combine together to achieve unparalleled opportunities in difficult environments. Both technologies can achieve enhanced performance by proactively altering the wireless propagation through maneuver control and smart signal reflections in three-dimensional space. This study briefly discusses IRS-assisted UAV communications. We survey the existing literature on this emerging research topic for both ground and airborne scenarios. We highlight several emerging technologies and application scenarios for future wireless networks. This study goes one step further to elaborate research opportunities to design and optimize wireless systems with low energy footprint and at low cost. Finally, we shed some light on open challenges and future research directions for IRS-assisted UAV communication. MDPI 2022-07-14 /pmc/articles/PMC9322292/ /pubmed/35890955 http://dx.doi.org/10.3390/s22145278 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Mohsan, Syed Agha Hassnain
Khan, Muhammad Asghar
Alsharif, Mohammed H.
Uthansakul, Peerapong
Solyman, Ahmed A. A.
Intelligent Reflecting Surfaces Assisted UAV Communications for Massive Networks: Current Trends, Challenges, and Research Directions
title Intelligent Reflecting Surfaces Assisted UAV Communications for Massive Networks: Current Trends, Challenges, and Research Directions
title_full Intelligent Reflecting Surfaces Assisted UAV Communications for Massive Networks: Current Trends, Challenges, and Research Directions
title_fullStr Intelligent Reflecting Surfaces Assisted UAV Communications for Massive Networks: Current Trends, Challenges, and Research Directions
title_full_unstemmed Intelligent Reflecting Surfaces Assisted UAV Communications for Massive Networks: Current Trends, Challenges, and Research Directions
title_short Intelligent Reflecting Surfaces Assisted UAV Communications for Massive Networks: Current Trends, Challenges, and Research Directions
title_sort intelligent reflecting surfaces assisted uav communications for massive networks: current trends, challenges, and research directions
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322292/
https://www.ncbi.nlm.nih.gov/pubmed/35890955
http://dx.doi.org/10.3390/s22145278
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