IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i3p917-d735477.html
   My bibliography  Save this article

Hybrid Energy Efficiency Friendly Frequency Domain TR Algorithm Based on PSO Algorithm Evaluated by Novel Maximizing HPA Efficiency Evaluation Criteria

Author

Listed:
  • Feng Hu

    (School of Information and Communication Engineering, Communication University of China, Beijing 100024, China
    These authors contributed equally to this work.)

  • Yuan Lu

    (School of Information and Communication Engineering, Communication University of China, Beijing 100024, China
    These authors contributed equally to this work.)

  • Libiao Jin

    (School of Information and Communication Engineering, Communication University of China, Beijing 100024, China
    These authors contributed equally to this work.)

  • Jianbo Liu

    (School of Information and Communication Engineering, Communication University of China, Beijing 100024, China
    These authors contributed equally to this work.)

  • Zhiping Xia

    (Academy of Broadcasting Science, Beijing 100045, China)

  • Guoting Zhang

    (Academy of Broadcasting Science, Beijing 100045, China)

  • Jingting Xiao

    (Academy of Broadcasting Science, Beijing 100045, China)

Abstract

Smart Grids (SGs) expedite secure, large-scale and efficient two-way communication between the power supply and management, but under a sophisticated 5G communication infrastructure, the multi carrier system is the principle system. The high peak-to-average power ratio (PAPR) is one of the significant limitations of the 5G multi carrier (MC) system, as it impedes the efficient design of the 5G analogue front end. Tone reservation (TR) is a highly efficient scheme without signal distortion, which is designed by increasing the freedom in the frequency domain for PAPR reduction. In this paper, a particle swarm optimization (PSO) based TR (PSO-TR) scheme proceeding with an optimal input power back off-modulation error ratio (IBO-MER) convergence criterion is proposed to improve high power amplifier (HPA) efficiency for OFDM systems. A probabilistic analysis of TR predistribution and freedom in the frequency domain, in relationship with the amplitude of its constituent samples, is carried out. This yields the theoretical framework employed in design of the proposed high computing-enhanced solutions. The proposed PSO-TR essentially make the frequency domain distribution and operation itself adaptive, that is, it adjusts to comply with the changing HPA efficiency and redundant cost during application runtime.

Suggested Citation

  • Feng Hu & Yuan Lu & Libiao Jin & Jianbo Liu & Zhiping Xia & Guoting Zhang & Jingting Xiao, 2022. "Hybrid Energy Efficiency Friendly Frequency Domain TR Algorithm Based on PSO Algorithm Evaluated by Novel Maximizing HPA Efficiency Evaluation Criteria," Energies, MDPI, vol. 15(3), pages 1-19, January.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:917-:d:735477
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/3/917/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/3/917/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    OFDM; PAPR; HPA; TR; PSO; 5G; PSO; IBO; MER; energy efficiency;
    All these 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:gam:jeners:v:15:y:2022:i:3:p:917-:d:735477. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.