IRS‐Assisted Localization for Airborne Mobile Networks

Olaoluwa  Popoola; Shuja Ansari; Rafay Iqbal Ansari; Lina  Mohjazi; Syed Ali Hassan; Nauman Aslam; Qammar Abbasi; Muhammad Ali Imran

doi:10.1002/9781119751717.ch8

IRS‐Assisted Localization for Airborne Mobile Networks

Olaoluwa Popoola, Shuja Ansari, Rafay Iqbal Ansari, Lina Mohjazi, Syed Ali Hassan, Nauman Aslam, Qammar Abbasi, Muhammad Ali Imran

Computer Information Sciences Department

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

3 Citations (Scopus)

Abstract

The use of intelligent reflecting surfaces (IRS) in next-generation mobile networks is currently a hot topic. At the same time, next-generation mobile networks are going airborne as heavily discussed in this book. Since the base stations and users both are meant to be mobile in this setting, this chapter explores the possibility of using IRS in airborne networks (ANs) for localization of users and base stations. Positioning is an important aspect in present and future wireless networks, where it augments the network operations and assists in multiple localization-based applications. This chapter outlines the use of IRS in AN in different settings and gives an overview of potential positioning using pilot symbols in beyond-5G (B5G) mobile networks employing IRSs.

Original language	English
Title of host publication	Autonomous Airborne Wireless Networks
Editors	Muhammad Ali Imran, Qammer Abbasi, Oluwakayode Onireti, Shuja Ansari
Place of Publication	Hoboken, NJ
Publisher	Blackwell Publishing
Chapter	8
Pages	141-156
Number of pages	16
ISBN (Electronic)	9781119751717
ISBN (Print)	9781119751687
DOIs	https://doi.org/10.1002/9781119751717.ch8
Publication status	Published - 23 Jul 2021

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10.1002/9781119751717.ch8

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title = "IRS‐Assisted Localization for Airborne Mobile Networks",

abstract = "The use of intelligent reflecting surfaces (IRS) in next-generation mobile networks is currently a hot topic. At the same time, next-generation mobile networks are going airborne as heavily discussed in this book. Since the base stations and users both are meant to be mobile in this setting, this chapter explores the possibility of using IRS in airborne networks (ANs) for localization of users and base stations. Positioning is an important aspect in present and future wireless networks, where it augments the network operations and assists in multiple localization-based applications. This chapter outlines the use of IRS in AN in different settings and gives an overview of potential positioning using pilot symbols in beyond-5G (B5G) mobile networks employing IRSs.",

author = "Olaoluwa Popoola and Shuja Ansari and Ansari, {Rafay Iqbal} and Lina Mohjazi and Hassan, {Syed Ali} and Nauman Aslam and Qammar Abbasi and Imran, {Muhammad Ali}",

year = "2021",

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doi = "10.1002/9781119751717.ch8",

language = "English",

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pages = "141--156",

editor = "Imran, {Muhammad Ali} and Qammer Abbasi and Oluwakayode Onireti and Shuja Ansari",

booktitle = "Autonomous Airborne Wireless Networks",

publisher = "Blackwell Publishing",

address = "Australia",

}

IRS‐Assisted Localization for Airborne Mobile Networks. / Popoola, Olaoluwa ; Ansari, Shuja; Ansari, Rafay Iqbal et al.
Autonomous Airborne Wireless Networks. ed. / Muhammad Ali Imran; Qammer Abbasi; Oluwakayode Onireti; Shuja Ansari. Hoboken, NJ: Blackwell Publishing, 2021. p. 141-156.

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

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AU - Popoola, Olaoluwa

AU - Ansari, Shuja

AU - Ansari, Rafay Iqbal

AU - Mohjazi, Lina

AU - Hassan, Syed Ali

AU - Aslam, Nauman

AU - Abbasi, Qammar

AU - Imran, Muhammad Ali

PY - 2021/7/23

Y1 - 2021/7/23

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AB - The use of intelligent reflecting surfaces (IRS) in next-generation mobile networks is currently a hot topic. At the same time, next-generation mobile networks are going airborne as heavily discussed in this book. Since the base stations and users both are meant to be mobile in this setting, this chapter explores the possibility of using IRS in airborne networks (ANs) for localization of users and base stations. Positioning is an important aspect in present and future wireless networks, where it augments the network operations and assists in multiple localization-based applications. This chapter outlines the use of IRS in AN in different settings and gives an overview of potential positioning using pilot symbols in beyond-5G (B5G) mobile networks employing IRSs.

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BT - Autonomous Airborne Wireless Networks

A2 - Imran, Muhammad Ali

A2 - Abbasi, Qammer

A2 - Onireti, Oluwakayode

A2 - Ansari, Shuja

PB - Blackwell Publishing

CY - Hoboken, NJ

ER -

IRS‐Assisted Localization for Airborne Mobile Networks

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