IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v88y2025i4d10.1007_s11235-025-01349-0.html
   My bibliography  Save this article

Joint IRS and precoder design for OFDM-based mmWave massive MIMO systems

Author

Listed:
  • Kwame Ibwe

    (University of Dar es Salaam)

Abstract

This paper investigates the joint design of hybrid precoding and intelligent reflecting surface (IRS) phase shifts for wideband millimeter-wave (mmWave) massive MIMO systems. The design problem is formulated as a spectral efficiency maximization under hardware constraints, and a hybrid precoding with IRS design (HPID) algorithm is developed. The digital precoders are updated via projected gradient ascent with power projection, while the IRS phases are optimized using alternating optimization. A theoretical upper bound based on fully digital precoding is also derived for benchmarking. Simulation results show that the proposed scheme achieves over 20% higher spectral efficiency compared to conventional hybrid baselines and attains more than 90% of the fully digital upper bound. The algorithm converges within 15–20 iterations and maintains robust performance under phase noise, suitable candidate for high-throughput and reliable 6G wideband deployments.

Suggested Citation

  • Kwame Ibwe, 2025. "Joint IRS and precoder design for OFDM-based mmWave massive MIMO systems," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 88(4), pages 1-15, December.
    • Handle: RePEc:spr:telsys:v:88:y:2025:i:4:d:10.1007_s11235-025-01349-0
    DOI: 10.1007/s11235-025-01349-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-025-01349-0
    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/s11235-025-01349-0?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:88:y:2025:i:4:d:10.1007_s11235-025-01349-0. 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.