IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v83y2023i3d10.1007_s11235-023-01023-3.html
   My bibliography  Save this article

Double reconfigurable intelligent surface-assisted wireless communication system for energy efficiency improvement over weibull fading channels

Author

Listed:
  • R. Mahammad Rafi

    (National Institute of Technology)

  • V. Nivetha

    (National Institute of Technology)

  • V. Sudha

    (National Institute of Technology)

Abstract

In this paper, we propose a double reconfigurable intelligent surface (RIS)-assisted wireless communication system to improve energy efficiency when a direct link from source to destination is obstructed. First, we model a single RIS-assisted wireless communication system by deploying RIS midway between the source and destination link over the Weibull fading channel. Next, we consider the double-RIS system, in which RIS-1 (R1) and RIS-2 (R2) are near the source and destination respectively, with overall reflecting elements in the system equal to the single-RIS system. For both systems, we derive the closed-form expressions for the bounds (lower and upper) of ergodic capacity and exact closed-form expressions for outage probability. The accuracy of the presented theoretical framework is validated through Monte-Carlo simulations. From the comparison, we found that the double-RIS system surpasses the S-RIS system in terms of ergodic capacity and outage probability. Finally, we provide the ergodic capacity and energy efficiency analysis of both systems as a function of spectral efficiency by varying the position of RISs and notice that the double-RIS system with R1 and R2 near to source and destination is more energy efficient than the S-RIS system.

Suggested Citation

  • R. Mahammad Rafi & V. Nivetha & V. Sudha, 2023. "Double reconfigurable intelligent surface-assisted wireless communication system for energy efficiency improvement over weibull fading channels," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 83(3), pages 289-301, July.
  • Handle: RePEc:spr:telsys:v:83:y:2023:i:3:d:10.1007_s11235-023-01023-3
    DOI: 10.1007/s11235-023-01023-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-023-01023-3
    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/s11235-023-01023-3?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.

    References listed on IDEAS

    as
    1. Sandeep Kumar & Poonam Yadav & Manpreet Kaur & Rajesh Kumar, 2022. "A survey on IRS NOMA integrated communication networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 80(2), pages 277-302, June.
    2. Ghassan Alnwaimi & Hatem Boujemaa, 2021. "Optimal packet length for wireless communications using reconfigurable intelligent surfaces," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 77(4), pages 683-696, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sanjay Bhardwaj & Dong-Seong Kim, 2023. "Deep Q-learning based sparse code multiple access for ultra reliable low latency communication in industrial wireless networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 83(4), pages 409-421, August.

    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:83:y:2023:i:3:d:10.1007_s11235-023-01023-3. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.