IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v73y2020i4d10.1007_s11235-019-00625-0.html
   My bibliography  Save this article

Dynamic spectrum refarming for GERAN/EUTRAN considering GERAN voice traffic

Author

Listed:
  • Farhad Danaei Yeganeh

    (Sahand University of Technology, Sahand New Town)

  • Afshin Ebrahimi

    (Sahand University of Technology, Sahand New Town)

Abstract

This research article has been conducted for the efficient use of frequency spectrum in multi-RAT cellular network using dynamic spectrum refarming (DSR). For this purpose, two overlapping networks, GERAN and EUTRAN, and their voice and data traffic statistics are taken into consideration. Our investigation of hourly traffic changes in the voice service in the GERAN and the data service in the EUTRAN (which are the dominant services of each of these networks), indicates that these changes are approximately orthogonal. This issue is the main motivation for use of DSR methods, including DSR without inband/guardband (I/G) overlay and DSR with I/G overlay, for efficient assignment of frequency resources to GERAN and EUTRAN. In this paper, the main focus is on the process of performing DSR with I/G overlay in a real network and its challenges. For this purpose, we used a nonlinear autoregressive neural network to predict the traffic changes of voice service in the GERAN. By this method, the prediction error is less than 6.5% in the peak hours. Also, a method for efficient use of GERAN and EUTRAN carrier numbers (ARFCN and EARFCN, respectively) has been proposed to reduce the mutual interference in DSR with I/G overlay. The results show the significant impact of the DSR with I/G overlay on increasing the EUTRAN average bit rate compared to the classic spectrum refarming method (168% in downlink and 146% in uplink).

Suggested Citation

  • Farhad Danaei Yeganeh & Afshin Ebrahimi, 2020. "Dynamic spectrum refarming for GERAN/EUTRAN considering GERAN voice traffic," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 73(4), pages 507-520, April.
    • Handle: RePEc:spr:telsys:v:73:y:2020:i:4:d:10.1007_s11235-019-00625-0
    DOI: 10.1007/s11235-019-00625-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-019-00625-0
    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/s11235-019-00625-0?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Adrian Kliks & Bartosz Musznicki & Karol Kowalik & Paweł Kryszkiewicz, 2018. "Perspectives for resource sharing in 5G networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(4), pages 605-619, August.
    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.
    1. Maxwell Olokundun & Mercy Ejovwokeoghene Ogbari & Hezekiah Falola & Ayodotun Stephen Ibidunni, 2022. "Leveraging 5G network for digital innovation in small and medium enterprises: a conceptual review," Journal of Innovation and Entrepreneurship, Springer, vol. 11(1), pages 1-10, December.
    2. Juan Riol Martín & Raquel Pérez-Leal & Julio Navío-Marco, 2019. "Towards 5G: Techno-economic analysis of suitable use cases," Netnomics, Springer, vol. 20(2), pages 153-175, December.
    3. Nyström, Anna-Greta & Gugenishvili, Ilia, 2019. "Business opportunities in 5G mobile technology," 30th European Regional ITS Conference, Helsinki 2019 205202, International Telecommunications Society (ITS).
    4. Vuojala, Heli & Mustonen, Miia & Chen, Xianfu & Kujanpää, Kaisa & Ruuska, Pekka & Höyhtyä, Marko & Matinmikko-Blue, Marja & Kalliovaara, Juha & Talmola, Pekka & Nyström, Anna-Greta, 2020. "Spectrum access options for vertical network service providers in 5G," Telecommunications Policy, Elsevier, vol. 44(4).
    5. Imtiyaz Ali & Zeeshan Kaleem & Safiullah Khan & Muhammad Abrahim Satti & Zahoor Uddin, 2020. "Cognitive radios real-time implementation on software defined radio for public safety communications," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 74(1), pages 103-111, May.

    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:73:y:2020:i:4:d:10.1007_s11235-019-00625-0. 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.

    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: 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.