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Aerial Reconfigurable Intelligent Surface-Assisted Terrestrial Communications

  • Xiaohui Gu*
  • , Wei Duan
  • , Guoan Zhang
  • , Miaowen Wen
  • , Jaeho Choi
  • , Pin Han Ho
  • *Corresponding author for this work
  • Nantong University
  • South China University of Technology
  • University of Waterloo
  • University of Electronic Science and Technology of China

Research output: Contribution to journalJournal articlepeer-review

Abstract

This article presents an in-depth examination of aerial reconfigurable intelligent surface (ARIS) technology, an innovative development in wireless communication networks facilitated by unmanned aerial vehicles (UAVs). ARIS introduces a dynamic approach to augmenting communication links, particularly vital in environments characterized by rapid change and complexity. We focus on key technical aspects such as the strategic 3D placement of ARIS for optimal signal coverage, intricate real-time channel estimation techniques, and the engineering challenges in hardware implementation. A detailed case study demonstrates the application of ARIS in a UAV-mounted relay system, aimed at enhancing the signal range and quality between a terrestrial base station and multiple ground users. This investigation encompasses the technical nuances of deploying ARIS, with an emphasis on the optimization of beamforming algorithms, evaluation of environmental influences on ARIS's operational stability and signal integrity, and a comparative analysis of beamforming strategies under variable operational parameters. The results underscore the efficacy of ARIS in elevating terrestrial network performance, offering technical strategies to address UAV-related dynamism and environmental variability. Additionally, the article explores diverse applications of ARIS, underscoring its critical role in scenarios spanning from emergency communications to advanced urban network infrastructure.

Original languageEnglish
Pages (from-to)54-60
Number of pages7
JournalIEEE Internet of Things Magazine
Volume7
Issue number2
DOIs
StatePublished - 2024.03.1

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Data Science

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