Complexity-Efficient Coherent Physical Cell Identity Detection Method for Cellular IoT Systems

Young-Hwan You (), Yong-An Jung, Sung-Hun Lee and Intae Hwang
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Young-Hwan You: Department of Computer Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Korea
Yong-An Jung: ICT Convergence Research Division, Intelligent Device Research Center, Gumi Electronics & Information Technology Research Institute (GERI), Gumi 39171, Korea
Sung-Hun Lee: ICT Convergence Research Division, Intelligent Device Research Center, Gumi Electronics & Information Technology Research Institute (GERI), Gumi 39171, Korea
Intae Hwang: Department of Electronic Engineering, Chonnam National University, Yongbong-ro, Buk-gu, Gwangju 61186, Korea

Mathematics, 2022, vol. 10, issue 16, 1-18

Abstract: Narrowband Internet of Things (NB-IoT) is one of the low-power wide-area network technologies that aim to support enormous connection, deep coverage, low power consumption, and low cost. Therefore, low cost of implementation and maintenance is one of the key challenges of NB-IoT terminals. This paper presents a low-complexity formulation for narrowband secondary synchronization signal (NSSS) detection in the NB-IoT system, supported by a coherent algorithm that requires a priori knowledge of the channel. By exploiting a symmetric conjugate feature of the NSSS sequence, a joint physical cell ID and radio frame number detection method with low complexity is proposed for coherent detection. The probability of erroneous detection of the presented NSSS detection method is computed, and the analytical model is verified by means of simulation. Numerical experiments will demonstrate that the proposed detection scheme remarkably reduces the computational complexity with almost the same detection ability compared to the existing detection scheme.

Keywords: Narrowband Internet of Things; secondary synchronization signal; physical cell ID; radio frame number (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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