IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v68y2018i2d10.1007_s11235-017-0386-0.html
   My bibliography  Save this article

Dynamic wavelet-based pilot allocation algorithm for OFDM-based cognitive radio systems

Author

Listed:
  • Rodrigo Calderón-Rico

    (Universidad de Guadalajara)

  • Roberto Carrasco-Alvarez

    (Universidad de Guadalajara)

  • Javier Vázquez Castillo

    (Universidad de Quintana Roo)

Abstract

In a cognitive radio system, the goal is to make better use of the radio electric spectrum, allowing non-licensed users access to those currently unused electromagnetic bands assigned to licensed users (LUs). This can be achieved using OFDM, where the non-licensed users must select the temporarily available subcarriers and turn off those subcarriers used by LUs in order to avoid interference. Hence, only a subset of the subcarriers can be used for data or pilot tone transmission. To this end, some pilot allocation algorithms have been proposed for this dynamic scenario, but they are designed in such away that an equispaced pilot placement is respected (as much as possible) while minimizing the mean squared error of the channel estimate. Nevertheless, this equispaced placement can lead to the use of an increased number of pilots in order to achieve a good channel estimation. In this work, a new pilot allocation algorithm based on wavelet transform is presented. The proposed algorithm uses the discrete wavelet transform to analyze the previous channel state information, taking the knowledge of the available subcarriers into account to provide a suboptimal solution for the pilot positions. This solution leads to a non-equispaced pilot placement, which improves the channel estimation and consequently, the system performance. Likewise, the introduced algorithm allows a reduction of the number of necessary pilots, which aids in increasing the data rate. Finally, simulation results corroborate the effectiveness of the algorithm in dynamic channel scenarios.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:telsys:v:68:y:2018:i:2:d:10.1007_s11235-017-0386-0
    DOI: 10.1007/s11235-017-0386-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-017-0386-0
    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/s11235-017-0386-0?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. Weiqiang Pan & Zhilong Shan & Ting Chen & Fangjiong Chen & Jing Feng, 2016. "Optimal pilot design for OFDM systems with non-contiguous subcarriers based on semi-definite programming," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 63(2), pages 297-305, October.
    2. 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.
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    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:68:y:2018:i:2:d:10.1007_s11235-017-0386-0. 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.