Joint Optimization of Multiple UAV-mounted RISs Deployment and RIS Elements Allocation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

Abstract

This paper considers deploying multiple UAV- mounted reconfigurable intelligent surfaces (RISs) to reflect signals from the base station (BS) to users to provide line- of-sight (LoS) communications. We aim to jointly optimize the deployment of UAV-mounted RISs, the assignment of RIS elements to users, and the BS power allocation to minimize the number of required UAVs while satisfying the user signal-to- noise ratio (SNR). To achieve the above goal, we divide the area of interest (AOI) into grid cells and propose an integer linear programming (ILP) model. Numerical results show that the proposed ILP model outperforms the baseline scheme under the constraints of user SNR thresholds and successfully serving all users.

Original languageEnglish
Title of host publicationICTC 2022 - 13th International Conference on Information and Communication Technology Convergence
Subtitle of host publicationAccelerating Digital Transformation with ICT Innovation
PublisherIEEE Computer Society
Pages1193-1197
Number of pages5
ISBN (Electronic)9781665499392
DOIs
StatePublished - 2022
Event13th International Conference on Information and Communication Technology Convergence, ICTC 2022 - Jeju Island, Korea, Republic of
Duration: 19 Oct 202221 Oct 2022

Publication series

NameInternational Conference on ICT Convergence
Volume2022-October
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference13th International Conference on Information and Communication Technology Convergence, ICTC 2022
Country/TerritoryKorea, Republic of
CityJeju Island
Period19/10/2221/10/22

Keywords

  • reconfig-urable intelligent surface (RIS)
  • UAV-mounted RIS
  • Unmanned aerial vehicles (UAV s)

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