IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i18p3812-d1233514.html
   My bibliography  Save this article

Blockwise Joint Detection of Physical Cell Identity and Carrier Frequency Offset for Narrowband IoT Applications

Author

Listed:
  • Young-Hwan You

    (Department of Computer Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Republic of Korea)

  • Yong-An Jung

    (ICT Convergence Research Division, Intelligent Device Research Center, Gumi Electronics & Information Technology Research Institute (GERI), Gumi 39171, Republic of Korea)

  • Sung-Hun Lee

    (ICT Convergence Research Division, Intelligent Device Research Center, Gumi Electronics & Information Technology Research Institute (GERI), Gumi 39171, Republic of Korea)

  • Intae Hwang

    (Department of Electronic Engineering and Department of ICT Convergence System Engineering, College of Engineering, Chonnam National University, Yongbong-ro, Buk-gu, Gwangju 61186, Republic of Korea)

Abstract

This paper presents a novel formulation for detecting the secondary synchronization signal in a narrowband Internet of Things communication system. The proposed approach is supported by a noncoherent algorithm that eliminates the need for channel information. A robust joint synchronization scheme is developed by decoupling the estimations of the physical cell identity and the carrier frequency offset. We derive the detection probability of the proposed physical cell identity detector and the mean squared error of the carrier frequency offset estimator, demonstrating their accuracy through simulation results. The performance of the proposed detection scheme is compared with that of existing detection schemes in terms of both estimation accuracy and computational complexity. Experimental results confirm that the proposed synchronization method exhibits superior performance while maintaining relatively lower complexity compared with benchmark methods.

Suggested Citation

  • Young-Hwan You & Yong-An Jung & Sung-Hun Lee & Intae Hwang, 2023. "Blockwise Joint Detection of Physical Cell Identity and Carrier Frequency Offset for Narrowband IoT Applications," Mathematics, MDPI, vol. 11(18), pages 1-18, September.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:18:p:3812-:d:1233514
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/18/3812/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/18/3812/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Byung Moo Lee, 2023. "Enhancing IoT Connectivity in Massive MIMO Networks through Systematic Scheduling and Power Control Strategies," Mathematics, MDPI, vol. 11(13), pages 1-18, July.
    2. Syed Kamran Haider & Ali Nauman & Muhammad Ali Jamshed & Aimin Jiang & Sahar Batool & Sung Won Kim, 2022. "Internet of Drones: Routing Algorithms, Techniques and Challenges," Mathematics, MDPI, vol. 10(9), pages 1-21, April.
    3. Young-Hwan You & Yong-An Jung & Sung-Hun Lee & Intae Hwang, 2022. "Complexity-Efficient Coherent Physical Cell Identity Detection Method for Cellular IoT Systems," Mathematics, MDPI, vol. 10(16), pages 1-18, 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. Young-Hwan You & Yong-An Jung & Sung-Hun Lee & Intae Hwang, 2022. "Complexity-Efficient Coherent Physical Cell Identity Detection Method for Cellular IoT Systems," Mathematics, MDPI, vol. 10(16), pages 1-18, August.
    2. Rashid Ali & Hyung Seok Kim, 2022. "Applied Mathematics for 5th Generation (5G) and beyond Communication Systems," Mathematics, MDPI, vol. 10(16), pages 1-2, August.
    3. Young-Hwan You & Yong-An Jung & Sung-Hun Lee & Sung-Chan Choi & Intae Hwang, 2023. "Complexity-Effective Joint Detection of Physical Cell Identity and Integer Frequency Offset in 5G New Radio Communication Systems," Mathematics, MDPI, vol. 11(20), pages 1-17, October.

    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:jmathe:v:11:y:2023:i:18:p:3812-:d:1233514. 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: 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.