Autonomous Guidance of an Aerial Drone for Maintaining an Effective Wireless Communication Link with a Moving Node Using an Intelligent Reflecting Surface

Mohsen Eskandari, Hailong Huang, Andrey V. Savkin, Wei Ni

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The excellent 3D mobility has made aerial drones (ADs) good candidates to improve the coverage of wireless communication networks. However, the effectiveness/efficiency of an AD (as an aerial active relay) is questionable for holding a continuous line-of-sight (LoS) link with a moving node (MN) in fifth-generation (5G) millimeter-wave (mmWave) wireless networks due to the signal propagations/blockage issues. Nevertheless, intelligent reflecting surface (IRS) technology has been introduced as a useful and energy-efficient method to improve the spectrum efficiency of 5G networks. In this paper, an AD equipped with IRS is proposed and autonomously navigated to maintain a continuous wireless link with an MN. The MN can be a vehicle moving through a dense urban environment. Simulation results corroborate the effectiveness of the method.

Original languageEnglish
Title of host publication2022 14th International Conference on Computer and Automation Engineering, ICCAE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages195-199
Number of pages5
ISBN (Electronic)9781665483803
DOIs
Publication statusPublished - Mar 2022
Event14th International Conference on Computer and Automation Engineering, ICCAE 2022 - Virtual, Online, Australia
Duration: 25 Mar 202227 Mar 2022

Publication series

Name2022 14th International Conference on Computer and Automation Engineering, ICCAE 2022

Conference

Conference14th International Conference on Computer and Automation Engineering, ICCAE 2022
Country/TerritoryAustralia
CityVirtual, Online
Period25/03/2227/03/22

Keywords

  • aerial drone (AD)
  • automation
  • communication
  • guidance
  • intelligent reflecting surface (IRS)
  • intelligent robots

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Hardware and Architecture
  • Control and Systems Engineering
  • Media Technology
  • Control and Optimization

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