IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v86y2024i4d10.1007_s11235-024-01164-z.html
   My bibliography  Save this article

Deployment algorithms of multi-UAV-BS networks with frequency reuse and power optimization

Author

Listed:
  • Yanzhi Hu

    (Army Engineering University of PLA)

  • Chunyuan Tian

    (Army Engineering University of PLA)

  • Dawei Ma

    (Army Engineering University of PLA)

  • Zhiyong Shi

    (Army Engineering University of PLA)

  • Fengbin Zhang

    (Army Engineering University of PLA)

Abstract

Deploying unmanned aerial vehicle base stations (UAV-BSs) to provide wireless access for terrestrial users is an alternative solution in emergency scenarios. Due to the dynamic nature of UAV-BSs and strong line-of-sight (LoS) transmission, co-frequency networking worsens the interference suffered by edge users, while the use of fully orthogonal channels for all UAV-BSs also faces the problem of frequency resource constraints. This paper develops a new deployment scheme by combining multiple UAV-BS locations, limited frequency reuse and power optimization. Thus, the nonlinear constrained optimization model is proposed to maximize user coverage. To reduce the computational complexity, the basic multi-UAV-BS network layout is first determined by polycentric clustering and connectivity adjustment based on user location distribution. Then, a genetic algorithm is used to optimize the multi-UAV-BS frequency arrangement and power adjustment to obtain the model solution. Simulations verify the effectiveness of the proposed scheme and evaluate the impact of co-channel interference.

Suggested Citation

  • Yanzhi Hu & Chunyuan Tian & Dawei Ma & Zhiyong Shi & Fengbin Zhang, 2024. "Deployment algorithms of multi-UAV-BS networks with frequency reuse and power optimization," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 86(4), pages 729-741, August.
    • Handle: RePEc:spr:telsys:v:86:y:2024:i:4:d:10.1007_s11235-024-01164-z
    DOI: 10.1007/s11235-024-01164-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-024-01164-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11235-024-01164-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:telsys:v:86:y:2024:i:4:d:10.1007_s11235-024-01164-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.