IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v69y2018i4d10.1007_s11235-018-0449-x.html
   My bibliography  Save this article

An intra–inter-cell device-to-device communication scheme to enhance 5G network throughput with delay modeling

Author

Listed:
  • Ahmed Murkaz

    (StoneFly Inc.)

  • Riaz Hussain

    (COMSATS Institute of Information Technology)

  • Junaid Ahmed

    (COMSATS Institute of Information Technology)

  • Muhammad Adil

    (COMSATS Institute of Information Technology)

  • Babatunji Omoniwa

    (National Mathematical Centre)

  • Adeel Iqbal

    (COMSATS Institute of Information Technology)

Abstract

As the number of mobile users is growing, so is the demand for more bandwidth. It becomes important that the required bandwidth and spectral resources do not scale with traffic in the next generation of wireless networks [i.e. fifth generation (5G)]. Device-to-device (D2D) communication underlaying cellular networks has been recognized as an essential technique in 5G networks. By applying definite principles and strategies, D2D communication not only increases the spectral and energy efficiency, but also enhances network throughput, network coverage and reduces delay. In this paper, we present an intra–inter-cell D2D communication scheme to enhance throughput of 5G networks. We study call setup delay of two developed communication scenarios and throughput gain comparing three systems. Firstly, we show the enhancements required in current cellular architectures to support inter-cell D2D communication. We develop protocols for two scenarios and demonstrate how architecture entities cooperate for the call setup between D2D users. We measure the overall call setup time for the developed protocols and derive a closed-form delay formula to estimate call setup time probability. Secondly, we perform simulations using a topology similar to that found in realistic urban environments to study throughput gains of the proposed intra–inter-cell D2D communication scheme. We compare three systems in terms of throughput: (1) pure cellular system (with cellular users only), (2) pure cellular system with intra-cell D2D users sharing the same cellular resource, and (3) pure cellular system with intra–inter-cell D2D users sharing the same cellular resource. Simulation results show that the proposed scheme substantially increases the network throughput and spectrum efficiency.

Suggested Citation

  • Ahmed Murkaz & Riaz Hussain & Junaid Ahmed & Muhammad Adil & Babatunji Omoniwa & Adeel Iqbal, 2018. "An intra–inter-cell device-to-device communication scheme to enhance 5G network throughput with delay modeling," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 69(4), pages 461-475, December.
    • Handle: RePEc:spr:telsys:v:69:y:2018:i:4:d:10.1007_s11235-018-0449-x
    DOI: 10.1007/s11235-018-0449-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-018-0449-x
    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/s11235-018-0449-x?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. Mohammed H. Alsharif & Rosdiadee Nordin, 2017. "Evolution towards fifth generation (5G) wireless networks: Current trends and challenges in the deployment of millimetre wave, massive MIMO, and small cells," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 64(4), pages 617-637, April.
    2. Maryum Hina & Sarmad Sohaib, 2017. "Centralized dynamic frequency allocation for cell-edge demand satisfaction in fractional frequency reuse networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 65(4), pages 795-808, 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. Minjoong Rim & Seungyeob Chae & Chung G. Kang, 2019. "MIMO receivers considering preamble collisions for grant-free random access in machine type communication systems," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 70(2), pages 185-191, February.
    2. Oughton, Edward J. & Lehr, William & Katsaros, Konstantinos & Selinis, Ioannis & Bubley, Dean & Kusuma, Julius, 2021. "Revisiting Wireless Internet Connectivity: 5G vs Wi-Fi 6," Telecommunications Policy, Elsevier, vol. 45(5).
    3. Rodrigo Calderón-Rico & Roberto Carrasco-Alvarez & Javier Vázquez Castillo, 2018. "Dynamic wavelet-based pilot allocation algorithm for OFDM-based cognitive radio systems," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(2), pages 193-200, June.
    4. 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.
    5. Fei Wu & Donglin Liu & Youxi Tang, 2018. "Symbol error rate on fading self-interference channel in full-duplex," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(3), pages 477-483, March.
    6. Amna Shabbir & Muhammad Faizan Shirazi & Safdar Rizvi & Sadique Ahmad & Abdelhamied A. Ateya, 2024. "Energy Efficiency and Load Optimization in Heterogeneous Networks through Dynamic Sleep Strategies: A Constraint-Based Optimization Approach," Future Internet, MDPI, vol. 16(8), pages 1-19, July.
    7. Mohammed H. Alsharif, 2017. "Techno-Economic Evaluation of a Stand-Alone Power System Based on Solar Power/Batteries for Global System for Mobile Communications Base Stations," Energies, MDPI, vol. 10(3), pages 1-20, March.
    8. Cheng, Xiaoyuan & Hu, Yukun & Varga, Liz, 2022. "5G network deployment and the associated energy consumption in the UK: A complex systems’ exploration," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    9. Shaik Thaherbasha & Ravindra Dhuli, 2022. "Outage performance of NOMA over $$\alpha -\mu ,\;\eta -\mu \; and \;\alpha -\eta -\mu $$ α - μ , η - μ a n d α - η - μ faded channels with imperfect CSI and interference," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 79(2), pages 279-294, February.
    10. Asmae Mamane & M. Fattah & M. El Ghazi & M. El Bekkali, 2022. "5G enhanced mobile broadband multi-criteria scheduler for dense urban scenario," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 80(1), pages 33-43, May.
    11. Ehab Ali & Mahamod Ismail & Rosdiadee Nordin & Nor Fadzilah Abdulah, 2019. "Beamforming with 2D-AOA estimation for pilot contamination reduction in massive MIMO," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(4), pages 541-552, August.
    12. Svetlana Rastvortseva & Elena Kameneva, 2024. "Development of national specialization in 5G technologies within the European Union," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 13(1), pages 1-21, December.
    13. Faizan Qamar & M. H. D. Nour Hindia & Kaharudin Dimyati & Kamarul Ariffin Noordin & Iraj Sadegh Amiri, 2019. "Interference management issues for the future 5G network: a review," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(4), pages 627-643, August.
    14. Edward J. Oughton & William Lehr, 2022. "Surveying 5G Techno-Economic Research to Inform the Evaluation of 6G Wireless Technologies," Papers 2201.02272, arXiv.org, revised Jan 2022.

    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:69:y:2018:i:4:d:10.1007_s11235-018-0449-x. 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.