Elimination of Inter-distract Downlink Interference Based on Autocorrelation Technique

Hui Kang; Hongyang Xia; Fugang Liu

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