UAV Position & Cell Partition Optimization Considering User Distribution and Data Rate in UAV Network

Subin Hwang, Bong Seok Seo, Dong Ho Kim

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

1 Scopus citations

Abstract

In this paper, we investigate the effective use of UAV as flight base stations for users using wireless services. UAV's limited battery usage time leads to hover time limitation, and we propose Adaptive UAV-AP Positioning & Cell-Partition framework that can maximize average throughput within a fixed hover time. In the proposed model, UAV is deployed based on arbitrary spatial distribution and user's required data rate, and Cell-Partitioning is carried out. In this problem, the optimal cell-partition is derived by solving the optimization problem based on the Optimal Transport Theory. This framework can expect more adaptive cell-partitioning than cell-partition considering only the existing user distribution probability.

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
Pages533-535
Number of pages3
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

  • cell partition
  • hover time
  • optimal transport theory
  • optimization
  • UAV

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