IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i19p3621-d932690.html
   My bibliography  Save this article

Multi-User Massive MIMO System with Adaptive Antenna Grouping for Beyond 5G Communication Network

Author

Listed:
  • Shakti Raj Chopra

    (School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara 144411, India)

  • Akhil Gupta

    (School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara 144411, India)

  • Sudeep Tanwar

    (Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad 382481, India)

  • Calin Ovidiu Safirescu

    (Environment Protection Department, Faculty of Agriculture, University of Agricultural Sciences and Veterinary Medicine, Cluj-Napoca Calea Mănăştur No. 3-5, 400372 Cluj-Napoca, Romania)

  • Traian Candin Mihaltan

    (Faculty of Building Services, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania)

  • Ravi Sharma

    (Centre for Inter-Disciplinary Research and Innovation, University of Petroleum and Energy Studies, Dehradun 248001, India)

Abstract

Error-correcting codes with limited errors and higher spectral efficiency are the main concern for wireless communications. In the current situation, research is increasing daily to satisfy the growing demand for users with improved QoS. Adaptive Antenna Grouping (AAG) with a multilevel space–time trellis coding scheme in the Multi-User Massive MIMO system is the better option to provide flexible data transfer speeds, encoding gains, and gain in diversity with improved spectral efficiency and low decoding complexity, including the power optimization by reduced SNR at the same Symbol Error Rate/Frame Error Rate (SER/FER). The prior aim of maintaining spectral efficiency is achieved by using Massive MIMO. This paper presents the AAG according to the channel state information in the Massive MIMO scenario. The impact of the proposed model on standard ITU-R M.2135 scenarios is also demonstrated in this paper.

Suggested Citation

  • Shakti Raj Chopra & Akhil Gupta & Sudeep Tanwar & Calin Ovidiu Safirescu & Traian Candin Mihaltan & Ravi Sharma, 2022. "Multi-User Massive MIMO System with Adaptive Antenna Grouping for Beyond 5G Communication Network," Mathematics, MDPI, vol. 10(19), pages 1-21, October.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:19:p:3621-:d:932690
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/19/3621/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/10/19/3621/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. P. K. Choudhury & M. Abou El-Nasr, 2020. "Massive MIMO toward 5G," Journal of Electromagnetic Waves and Applications, Taylor & Francis Journals, vol. 34(9), pages 1091-1094, June.
    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.

      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:gam:jmathe:v:10:y:2022:i:19:p:3621-:d:932690. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.