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

Author:

You Young-Hwan1,Jung Yong-An2,Lee Sung-Hun2,Hwang Intae3

Affiliation:

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

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

3. 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.

Funder

National Research Foundation of Korea

Korean government

Institute of Information and Communications Technology Planning and Evaluation

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference25 articles.

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3. Chen, X., Zhao, T., Sun, Q., Hu, Q., and Xu, M. (2022). Cell-free massive MIMO with energy-efficient downlink operation in industrial IoT. Mathematics, 10.

4. Almuhaya, M.A.M., Jabbar, W.A., Sulaiman, N., and Abdulmalek, S. (2022). A Survey on LoRaWAN technology: Recent trends, opportunities, simulation tools and future directions. Electronics, 11.

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