Abstract

Narrowband Internet of Things is one of the most promising technologies to support low cost, massive connection, deep coverage, and low power consumption. In this paper, a computationally efficient narrowband secondary synchronization signal detection method is proposed in the narrowband Internet of Things system. By decoupling the detection of complementary sequence and Zadoff–Chu sequence that make up the synchronization signal sequence, the search space of narrowband secondary synchronization signal hypotheses is reduced. Such a design strategy along with the use of the symmetric property of synchronization signals allows reduced-complexity synchronization signal detection in the narrowband Internet of Things system. Both theoretical and simulation results are provided to verify the usefulness of the proposed detector. It is shown via simulation results that the complexity of the proposed detection method is significantly reduced while producing some performance degradation, compared to the conventional detection method.

Highlights

  • With the rapid growth of the Internet of Things (IoT) industry, Low-Power Wide-Area (LPWA)technologies become more and more popular [1]

  • The performance of the Physical Cell ID (PCID) and Radio Frame Number (RFN) detection methods was evaluated in terms of the probability of detection failure observed in the estimation of each parameter of interest u and v

  • We adopted the Pedestrian A (PedA) and Vehicular A (VehA) channel models, which was characterized by a maximum channel delay spread of 0.41 μs and 2.15 μs [21]

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Summary

Introduction

With the rapid growth of the Internet of Things (IoT) industry, Low-Power Wide-Area (LPWA). NB-IoT is a new rapid-growing wireless technology, which is designed primarily targeting ultra-low-end IoT applications including home automation, smart health, smart factory, and smart environment that demand low cost, high reliability, and ultra-low power [8,9]. During initial power-on, a UE has to perform a series of processes of attaining timing and frequency synchronization and acquiring Physical Cell ID (PCID) information [11,12,13,14]. During initial cell search procedure, the UE has no information on the system timing and the local frequency of the UE is not yet synchronized to the network [12,13]. There may be a relatively large offset in both time and frequency, and such an uncertainty can substantially deteriorate initial synchronization performance

Related Works
Contributions
System Model
Signal Model
Synchronization Signal
Cell Search Procedure
Proposed NSSS Detection Scheme for NB-IoT
Detection Performance
Simulation Results and Discussions
Simulation Settings
Complexity Evaluation
Pre-FFT Processing
Post-FFT Processing
Performance Evaluation
Conclusions
Full Text
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