Energy-Efficient Deployment of Multiple UAVs Using Ellipse Clustering to Establish Base Stations

Si Chan Noh, Hong Bae Jeon, Chan Byoung Chae

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


The demand for future wireless communication systems is being satisfied for various circumstances through unmanned aerial vehicles (UAVs), which act as flying base stations (BSs). In this letter, we propose an ellipse clustering algorithm that maximizes the user coverage probability of UAV-BSs and avoids inter-cell interference with minimal transmit power. We obtain the coverage of each UAV by adjusting its antenna half-power beamwidth, orientation, and 3D location by minimizing the path loss of the cell-edge user. Simulation results confirm that the proposed algorithm achieves high system throughput and coverage probability with lower transmit power compared to conventional algorithms.

Original languageEnglish
Article number9044857
Pages (from-to)1155-1159
Number of pages5
JournalIEEE Wireless Communications Letters
Issue number8
Publication statusPublished - 2020 Aug

Bibliographical note

Funding Information:
Manuscript received December 19, 2019; revised March 15, 2020; accepted March 17, 2020. Date of publication March 23, 2020; date of current version August 7, 2020. This work was supported by the Future Combat System Network Technology Research Center Program of Defense Acquisition Program Administration and Agency for Defense Development under Grant (UD160070BD). The associate editor coordinating the review of this article and approving it for publication was H. S. Dhillon. (Si-Chan Noh and Hong-Bae Jeon are co-first authors.) (Corresponding author: Chan-Byoung Chae.) Si-Chan Noh was with the School of Integrated Technology, Yonsei University, Seoul 120-749, South Korea. He is now with the PHY Research and Development Group, Newratek Inc., Seoul 06175, South Korea (e-mail:

Publisher Copyright:
© 2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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