IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v86y2024i1d10.1007_s11235-024-01107-8.html
   My bibliography  Save this article

Coverage analysis and deployment design of RIS-assisted systems

Author

Listed:
  • Ying Wang

    (Jiangsu Second Normal University)

  • Angran Liu

    (Jiangsu Second Normal University)

  • Yiyang Ni

    (Jiangsu Second Normal University)

  • Jie Zhao

    (Jiangsu Second Normal University)

Abstract

Reconfigurable intelligent surface (RIS) is a novel technology that can help enhance the wireless propagation environment by altering the electromagnetic properties of its massive low-cost passive reflecting elements. This paper aims to explore the mechanism of how the deployment of RIS influences cell coverage from the system level and to obtain valuable guidance for actual RIS deployment design. We derive the coverage area gain (CAG) brought by deploying RIS to the whole system and analyze how the deployment parameters influence performance. The results reveal that it is more favorable to deploy the RIS close to the base station (BS) to gain more long-range coverage, and the coverage area gain can keep approximately constant as long as the ratio of the RIS element number to the deployment distance (between the BS and the RIS) remains unchanged. The scaling law between the CAG and the ratio is obtained. Furthermore, we extend the analysis to the scenario with two RISs deployed and respectively derive the coverage area gains brought by the two RISs when they are symmetrically and vertically deployed. We find that the aforementioned ratio rule still holds here, and the vertical deployment can achieve higher CAG than the symmetric deployment.

Suggested Citation

  • Ying Wang & Angran Liu & Yiyang Ni & Jie Zhao, 2024. "Coverage analysis and deployment design of RIS-assisted systems," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 86(1), pages 39-50, May.
  • Handle: RePEc:spr:telsys:v:86:y:2024:i:1:d:10.1007_s11235-024-01107-8
    DOI: 10.1007/s11235-024-01107-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-024-01107-8
    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/s11235-024-01107-8?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:1:d:10.1007_s11235-024-01107-8. 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.