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Complexity-Effective Joint Detection of Physical Cell Identity and Integer Frequency Offset in 5G New Radio Communication Systems

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)

  • Sung-Chan Choi

    (Autonomous IoT Research Center, Korea Electronics Technology Institute (KETI), Seongnam 13509, Republic of Korea)

  • Intae Hwang

    (Department of Electronic Engineering and Department of ICT Convergence System Engineering, College of Engineering, Chonnam National University, Gwangju 61186, Republic of Korea)

Abstract

This paper presents a simplified joint synchronization scheme for the integer carrier frequency offset and physical cell identity using a primary synchronization signal (PSS) in 5G new radio (NR) communication systems. We demonstrate the efficiency of our proposed NR-PSS synchronization scheme by deriving its simplified implementation, which exploits the near-zero autocorrelation feature between cyclically shifted NR-PSS symbols. As a figure of merit, we compute the probability of detection failure of the proposed NR-PSS synchronization scheme and validate its accuracy via simulations. To illustrate the benefits and limitations of the proposed NR-PSS synchronization scheme, we compare it with the conventional NR-PSS synchronization scheme, considering factors such as detection performance and computation complexity. Numerical results indicate that, regardless of the channel environment, the proposed NR-PSS synchronization scheme achieves a significant reduction in arithmetic complexity while maintaining the same detection capability as existing NR-PSS synchronization schemes.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:20:p:4326-:d:1261666
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    References listed on IDEAS

    as
    1. J. Alberto Del Puerto-Flores & Francisco R. Castillo-Soria & Carlos A. Gutiérrez & Fernando Peña-Campos, 2023. "Efficient Index Modulation-Based MIMO OFDM Data Transmission and Detection for V2V Highly Dispersive Channels," Mathematics, MDPI, vol. 11(12), pages 1-17, June.
    2. 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.
    3. Daniel Andrade & Roberto Magueta & Adão Silva & Paulo Marques, 2023. "Beamforming Based on a SSS Angle Estimation Algorithm for 5G NR Networks," Future Internet, MDPI, vol. 15(3), pages 1-15, March.
    Full references (including those not matched with items on IDEAS)

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