Optimal Trajectory for Curvature-Constrained UAV Mobile Base Stations

Minho Yang, Sang Woon Jeon, Dong Ku Kim

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


A set of optimal curvature-constrained closed trajectories for N unmanned aerial vehicle (UAV) mobile base stations (MBSs) supporting K ground terminals (GTs) is explored, which maximizes the minimum received signal strength (RSS) at the GT along its trajectory. It is proved that circular UAV maneuver turns out be optimal and the Euclidean N-center problem find the centers of the optimal circular trajectories. Numerical results demonstrate that optimized UAV trajectories improve the worst-case RSS by 100% compared to random UAV trajectories.

Original languageEnglish
Article number9034167
Pages (from-to)1056-1059
Number of pages4
JournalIEEE Wireless Communications Letters
Issue number7
Publication statusPublished - 2020 Jul

Bibliographical note

Funding Information:
Manuscript received December 22, 2019; revised February 11, 2020; accepted March 2, 2020. Date of publication March 12, 2020; date of current version July 9, 2020. The work of Minho Yang and Dong Ku Kim was supported by the Institute of Information and communications Technology Planning and Evaluation (IITP) grant funded by the Korea Government (MSIT) (Virtual Presence in Moving Objects through 5G) under Grant 2018-0-00170. The work of Sang-Woon Jeon was supported by the Basic Science Research Program through the National Research Foundation of Korea, Ministry of Education, Science and Technology under Grant NRF-2020R1C1C1013806. The associate editor coordinating the review of this article and approving it for publication was H. T. Dinh. (Corresponding author: Dong Ku Kim.) Minho Yang and Dong Ku Kim are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: navigations@yonsei.ac.kr; dkkim@yonsei.ac.kr).

Publisher Copyright:
© 2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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