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Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I

Research Article

Elimination of Inter-distract Downlink Interference Based on Autocorrelation Technique

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  • @INPROCEEDINGS{10.1007/978-3-319-73564-1_26,
        author={Hui Kang and Hongyang Xia and Fugang Liu},
        title={Elimination of Inter-distract Downlink Interference Based on Autocorrelation Technique},
        proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I},
        proceedings_a={MLICOM},
        year={2018},
        month={2},
        keywords={Downlink interference Autocorrelation Mobile station},
        doi={10.1007/978-3-319-73564-1_26}
    }
    
  • Hui Kang
    Hongyang Xia
    Fugang Liu
    Year: 2018
    Elimination of Inter-distract Downlink Interference Based on Autocorrelation Technique
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-73564-1_26
Hui Kang1,*, Hongyang Xia1,*, Fugang Liu1,*
  • 1: Heilongjiang University of Science and Technology
*Contact email: qihang1601@sina.com, xhy04540451@163.com, 15846589756@163.com

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.

Keywords
Downlink interference Autocorrelation Mobile station
Published
2018-02-09
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-73564-1_26
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