IDEAS home Printed from https://ideas.repec.org/a/epw/ejece0/v9y2025i1id19676.html

Low-Power 5G Protocols for Sustainable Communication in Rural and Remote Networks

Author

Listed:
  • Shaman Bhat

Abstract

While 5G technology has the ability to offer unparalleled connectivity and data speeds, high power consumption prevents its usage in rural and remote areas, where energy resources are often scarce and infrastructure is minimal. This paper provides a set of low-power 5G protocols designed to improve energy efficiency while maintaining reliable communication standards in under-served localities. Our proposed protocols incorporate adaptive protocol layering, energy-efficient modulation techniques, and advanced power-saving mechanisms, such as sleep modes and intelligent wake-up functionalities. This helps to reduce overall energy demand without compromising network performance. The findings suggest that, combined with renewable energy sources, these protocols offer a viable solution for extending 5G coverage to rural and remote areas, promoting greater digital inclusion and aligning with the aim of global sustainability.

Suggested Citation

  • Shaman Bhat, 2025. "Low-Power 5G Protocols for Sustainable Communication in Rural and Remote Networks," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 9(1), pages 17-22, January.
  • Handle: RePEc:epw:ejece0:v:9:y:2025:i:1:id:19676
    DOI: 10.24018/ejece.2025.9.1.676
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejece/article/view/19676
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejece/article/download/19676/11539
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejece.2025.9.1.676?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
    ---><---

    References listed on IDEAS

    as
    1. Shaman Bhat, 2024. "Optimizing Network Costs for NFV Solutions in Urban and Rural Indian Cellular Networks," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 8(4), pages 32-37, 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.

      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:9:y:2025:i:1:id:19676. 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: 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.