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Elimination of Inter-distract Downlink Interference Based on Autocorrelation Technique

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Machine Learning and Intelligent Communications (MLICOM 2017)

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Abstract

In order to eliminate downlink interference and improve system performance, we proposed a method to eliminate inter-distract downlink interference based on the non-overlapping nature of the signal in autocorrelation domain. In this method, multi-antenna technology was used and spectrum resource was not additionally occupied, without requiring channel conditions. The simulation result showed that this method is suitable for the removal of strong downlink interference in the mobile station at the edge of the distract.

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References

  1. Zeng, H.H., Tong, L.: Blind channel estimation using the second-order statistics algorithms. IEEE Trans. Sig. Process. 45, 1919–1930 (1997)

    Article  Google Scholar 

  2. Hamdi, K.A., Sedtheetorn, P.: On the spectral efficiency of CDMA downlink distractular mobile networks. IEEE Trans. Wireless Commun. 7, 4133–4141 (2008)

    Article  Google Scholar 

  3. Liu, Q., Hu, B.: A modified blink MIMO channel equalization method based on autocorrelation matching principle. Int. Conf. Commun. Circuits Syst. 1, 215–218 (2005)

    Google Scholar 

  4. Luo, H., Liu, R.W.: A close-form solution to blind MIMO FIR channel equalization for wireless communication systems based on autocorrelation matching. In: IEEE International Conference on Accoustics, Speech and Signal Processing, pp. 293–296 (2003)

    Google Scholar 

  5. Gomadam, K., Cadambe, V.R., Jafar, S.A.: A diatributed numerical approach to interference alignment and applications to wireless interference networks. IEEE Trans. Inf. Theory 57, 3309–3322 (2011)

    Article  Google Scholar 

  6. Jafar, S.A., Sharnai, S.: Degrees of freedom region of the MIMO X channel. IEEE Trans. Inf. Theory 54, 151–170 (2008)

    Article  MathSciNet  Google Scholar 

  7. Foschini, G.J., Gans, M.J.: On limits of wireless communications in a fading environment when using multiple antennas. Wireless Pers. Commun. 6, 311–335 (1998)

    Article  Google Scholar 

  8. Holma, H., Toskala, A.: WCDMA for UMTS: Radio Access for Third Generation Mobile Communications. Wiley, Hoboken (2004)

    Google Scholar 

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Acknowledgments

This work was supported by the Natural Science Foundations of Heilongjiang Province (F2015019), the Postdoctoral Science Foundations of Heilongjiang Province (LBH-Z16054), and the Science and Technology Research Project Foundations of the education hall of Heilongjiang province (12543070).

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Heilongjiang University of Science and Technology, Harbin, 150022, China

    Hui Kang, Hongyang Xia & Fugang Liu

Authors
  1. Hui Kang
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  2. Hongyang Xia
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  3. Fugang Liu
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Corresponding author

Correspondence to Hui Kang .

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Editors and Affiliations

  1. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Xuemai Gu

  2. Harbin Institute of Technology, Weihai, Heilongjiang, China

    Gongliang Liu

  3. Shandong University, Weihai, Heilongjiang, China

    Bo Li

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Kang, H., Xia, H., Liu, F. (2018). Elimination of Inter-distract Downlink Interference Based on Autocorrelation Technique. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-73564-1_26

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  • DOI: https://doi.org/10.1007/978-3-319-73564-1_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73563-4

  • Online ISBN: 978-3-319-73564-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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