IDEAS home Printed from https://ideas.repec.org/a/igg/jwnbt0/v9y2020i2p43-59.html
   My bibliography  Save this article

A Resource-Efficient Approach on User Association in 5G Networks Using Downlink and Uplink Decoupling

Author

Listed:
  • Christos Bouras

    (Computer Technology Institute & Press “Diophantus”, Computer Engineering and Informatics Department, University of Patras, Patras, Greece)

  • Vasileios Kokkinos

    (Computer Engineering and Informatics Department, University of Patras, Patras, Greece)

  • Evangelos Michos

    (Computer Engineering and Informatics Department, University of Patras, Patras, Greece)

Abstract

A user-centered network model can significantly optimize connectivity issues between a user and the corresponding base station (BS). This article shall evaluate the user-centric (UC) model targeted for Fifth Generation telecommunication systems and will attempt to optimize communication between users and BSs. The authors suggest a resource-aware mechanism that targets improving coverage through the network decoupling into two separate and independent uplink and downlink networks. The mechanism shall fully respect each user's initially requested throughput demands and aims to solve the network user BS association problem with efficient resource management techniques. Simulations revealed that the mechanism perfectly preserves quality of service (QoS) and offers increased data rates in favor of ultimate user coverage, in both scenarios. Additionally, Frequency Range 2 offers an increased amount of resources, both increased data rates and higher amounts of devices that are covered by the overall network.

Suggested Citation

  • Christos Bouras & Vasileios Kokkinos & Evangelos Michos, 2020. "A Resource-Efficient Approach on User Association in 5G Networks Using Downlink and Uplink Decoupling," International Journal of Wireless Networks and Broadband Technologies (IJWNBT), IGI Global, vol. 9(2), pages 43-59, July.
  • Handle: RePEc:igg:jwnbt0:v:9:y:2020:i:2:p:43-59
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJWNBT.2020070103
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jwnbt0:v:9:y:2020:i:2:p:43-59. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.