Joint Cancellation of Phase Noise and NB-IoT Interference in OFDM System

Feng Li; Hanrong Zhang; Xinmin Luo

doi:10.1109/LWC.2020.3034461

Joint Cancellation of Phase Noise and NB-IoT Interference in OFDM System

Feng Li
, Hanrong Zhang
, Xinmin Luo

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

In the scenario of the coexistence of long term evolution (LTE) system using orthogonal frequency division multiplexing (OFDM) and narrowband Internet-of-Things (NB-IoT), when the in-band model is used, the narrowband interference caused by NB-IoT will seriously degrade the performance of OFDM. Meanwhile, the phase noise (PHN) generated by the local oscillators also reduce the reliability of OFDM transmission. In this letter, an algorithm of jointly eliminating NB-IoT interference and PHN is proposed within the sparse Bayesian learning framework for OFDM system, when the channel noise follows non-Gaussian distribution. An iterative solution is derived after the optimization structure is constructed. Simulation results demonstrate that the gain of proposed method over the conventional methods is approximately 1.5-3.5 dB when the bit error rate is {10{-3}}.

Original language	English
Article number	9241816
Pages (from-to)	436-440
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	10
Issue number	2
DOIs	https://doi.org/10.1109/LWC.2020.3034461
State	Published - Feb 2021

Keywords

Joint cancellation
narrowband Internet-of-Things (NB-IoT)
narrowband interference
orthogonal frequency division multiplexing (OFDM)
phase noise

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10.1109/LWC.2020.3034461

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title = "Joint Cancellation of Phase Noise and NB-IoT Interference in OFDM System",

abstract = "In the scenario of the coexistence of long term evolution (LTE) system using orthogonal frequency division multiplexing (OFDM) and narrowband Internet-of-Things (NB-IoT), when the in-band model is used, the narrowband interference caused by NB-IoT will seriously degrade the performance of OFDM. Meanwhile, the phase noise (PHN) generated by the local oscillators also reduce the reliability of OFDM transmission. In this letter, an algorithm of jointly eliminating NB-IoT interference and PHN is proposed within the sparse Bayesian learning framework for OFDM system, when the channel noise follows non-Gaussian distribution. An iterative solution is derived after the optimization structure is constructed. Simulation results demonstrate that the gain of proposed method over the conventional methods is approximately 1.5-3.5 dB when the bit error rate is \{10\{-3\}\}.",

keywords = "Joint cancellation, narrowband Internet-of-Things (NB-IoT), narrowband interference, orthogonal frequency division multiplexing (OFDM), phase noise",

author = "Feng Li and Hanrong Zhang and Xinmin Luo",

note = "Publisher Copyright: {\textcopyright} 2012 IEEE.",

year = "2021",

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doi = "10.1109/LWC.2020.3034461",

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T1 - Joint Cancellation of Phase Noise and NB-IoT Interference in OFDM System

AU - Li, Feng

AU - Zhang, Hanrong

AU - Luo, Xinmin

PY - 2021/2

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N2 - In the scenario of the coexistence of long term evolution (LTE) system using orthogonal frequency division multiplexing (OFDM) and narrowband Internet-of-Things (NB-IoT), when the in-band model is used, the narrowband interference caused by NB-IoT will seriously degrade the performance of OFDM. Meanwhile, the phase noise (PHN) generated by the local oscillators also reduce the reliability of OFDM transmission. In this letter, an algorithm of jointly eliminating NB-IoT interference and PHN is proposed within the sparse Bayesian learning framework for OFDM system, when the channel noise follows non-Gaussian distribution. An iterative solution is derived after the optimization structure is constructed. Simulation results demonstrate that the gain of proposed method over the conventional methods is approximately 1.5-3.5 dB when the bit error rate is {10{-3}}.

AB - In the scenario of the coexistence of long term evolution (LTE) system using orthogonal frequency division multiplexing (OFDM) and narrowband Internet-of-Things (NB-IoT), when the in-band model is used, the narrowband interference caused by NB-IoT will seriously degrade the performance of OFDM. Meanwhile, the phase noise (PHN) generated by the local oscillators also reduce the reliability of OFDM transmission. In this letter, an algorithm of jointly eliminating NB-IoT interference and PHN is proposed within the sparse Bayesian learning framework for OFDM system, when the channel noise follows non-Gaussian distribution. An iterative solution is derived after the optimization structure is constructed. Simulation results demonstrate that the gain of proposed method over the conventional methods is approximately 1.5-3.5 dB when the bit error rate is {10{-3}}.

KW - Joint cancellation

KW - narrowband Internet-of-Things (NB-IoT)

KW - narrowband interference

KW - orthogonal frequency division multiplexing (OFDM)

KW - phase noise

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DO - 10.1109/LWC.2020.3034461

M3 - 文章

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SN - 2162-2337

VL - 10

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JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

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M1 - 9241816

ER -

Joint Cancellation of Phase Noise and NB-IoT Interference in OFDM System

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Keywords

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