Study On Optical Communications, Volume. 48, Issue 2, 69(2022)

A Low Complexity NB-IoT Cell ID Detection Algorithm

CHANG Tie-yuan... LI Yong-qi* and YAN Yi-ping |Show fewer author(s)
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    References(13)

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    [6] [6] Kroll H,Korb M,Weber B,et al.Maximum-likelihood Detection for Energy-efficient Timing Acquisition in NB-IoT[C]//2017 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) . San Francisco, CA, USA: IEEE, 2017:7919084.

    [7] [7] Li Y, Chen S, Ye W, et al. A Joint Low-power Cell Search and Frequency Tracking Scheme in NB-IoT Systems for Green Internet of Things[J]. Sensors, 2018,18(10):s18103274.

    [8] [8] You Y H.Reduced Complexity Detection of Narrowband Secondary Synchronization Signal for NB-IoT Communication Systems[J].Symmetry, 2020, 12(8):686-701.

    [9] [9] Savaux V.DFT-based Low-complexity Optimal Cell ID Estimation in NB-IoT[J].Journal on Advances in Signal Processing, 2020 (1):855-873.

    [10] [10] Magani S,Kuchi K.Cell-search and Tracking of Residual Time and Frequency Offsets in Low Power NB-IoT Devices[J].CSI Transactions on ICT,2019,7(1):27-34.

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    CHANG Tie-yuan, LI Yong-qi, YAN Yi-ping. A Low Complexity NB-IoT Cell ID Detection Algorithm[J]. Study On Optical Communications, 2022, 48(2): 69

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    Paper Information

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    Received: Apr. 28, 2021

    Accepted: --

    Published Online: Apr. 20, 2022

    The Author Email: Yong-qi LI (1689452833@qq.com)

    DOI:10.13756/j.gtxyj.2022.02.014

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