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Two Steps Method Using Polarization to Resist Phase Noise for Self-interference Cancelation in Full-Duplex

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Human Centered Computing (HCC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10745))

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Abstract

Phase noise caused by the local oscillator affects both the cancelation of self-interference and the reception of the desired signal. In this paper, a novel two steps method exploiting polarization is proposed to resist the effect of phase noise on the self-interference cancelation in full-duplex. This method can convert the multiplicative noise to additive noise with polarization signal processing in two steps, which can cancel the effect of phase noise on both the self-interference and desired signal. It should be noted that this method needs no prior information of the phase noise. Theory analysis and numerical simulations show that the effect of phase noise is reduced and the amount of cancelation is also evaluated in condition of different phase noise values.

This work is supported by Chinese National Nature Science Foundations (61501050) and (61271177).

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Author information

Authors and Affiliations

  1. Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Fangfang Liu, Xinyi Wang & Chunyan Feng

  2. Network Technology Research Institution, China Unicom, Beijing, China

    Xiao Han

Authors
  1. Fangfang Liu
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  2. Xinyi Wang
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  3. Chunyan Feng
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  4. Xiao Han
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Corresponding author

Correspondence to Fangfang Liu .

Editor information

Editors and Affiliations

  1. Wuhan University of Technology, Wuhan, China

    Qiaohong Zu

  2. Fujitsu Laboratories of Europe Ltd., Hayes, United Kingdom

    Bo Hu

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Liu, F., Wang, X., Feng, C., Han, X. (2018). Two Steps Method Using Polarization to Resist Phase Noise for Self-interference Cancelation in Full-Duplex. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2017. Lecture Notes in Computer Science(), vol 10745. Springer, Cham. https://doi.org/10.1007/978-3-319-74521-3_14

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  • DOI: https://doi.org/10.1007/978-3-319-74521-3_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74520-6

  • Online ISBN: 978-3-319-74521-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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