IDEAS home Printed from https://ideas.repec.org/a/epw/ejece0/v7y2023i6id19460.html

Channel Capacity Optimization Using Multiple-Input Multiple-Output for a Rayleigh Channel

Author

Listed:
  • Christopher Godwin Ngobi

    (Cross River College of Nursing and Midwifery Sciences, Nigeria)

  • Mamilus A. Ahaneku

    (University of Nigeria, Nigeria)

  • Ojomu Sunday Abayomi

    (Cross River University of Technology, Nigeria)

Abstract

The use of multiple-input multiple-output (MIMO) systems with multiple antenna elements provides an efficient solution for future wireless communication. In recent times, wireless communication has been characterized by high speed, higher data throughput, and high Bit Error Rate (BER) in a limited bandwidth. Low data speed handover, low Signal Noise Ratio (SNR), and hardware power drainage are common channel problems with wireless systems. The objective of this research seeks a way to optimize channel capacity and enhance system performance. The paper presents a comprehensive performance analysis of channel capacity under the Rayleigh fading channel using water water-filling technique. MATLAB was used to analyze and simulate the process. Simulation results revealed that the water-filling algorithm can effectively optimize channel capacity in the wireless communication system.

Suggested Citation

  • Christopher Godwin Ngobi & Mamilus A. Ahaneku & Ojomu Sunday Abayomi, 2023. "Channel Capacity Optimization Using Multiple-Input Multiple-Output for a Rayleigh Channel," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 7(6), pages 96-102, November.
  • Handle: RePEc:epw:ejece0:v:7:y:2023:i:6:id:19460
    DOI: 10.24018/ejece.2023.7.6.460
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejece/article/view/19460
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejece/article/download/19460/11379
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejece.2023.7.6.460?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
    ---><---

    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:epw:ejece0:v:7:y:2023:i:6:id:19460. 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: support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejece .

    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.