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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

Application of Time-Varying Filter in Time-Frequency Resource Allocation

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  • @INPROCEEDINGS{10.1007/978-3-319-73564-1_70,
        author={Zhongchao Ma and Liang Ye and Xuejun Sha},
        title={Application of Time-Varying Filter in Time-Frequency Resource Allocation},
        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={Time-frequency transform Time-varying filter Root raised cosine signal},
        doi={10.1007/978-3-319-73564-1_70}
    }
    
  • Zhongchao Ma
    Liang Ye
    Xuejun Sha
    Year: 2018
    Application of Time-Varying Filter in Time-Frequency Resource Allocation
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-73564-1_70
Zhongchao Ma,*, Liang Ye1,*, Xuejun Sha1,*
  • 1: Harbin Institute of Technology
*Contact email: 2279779526@qq.com, coldwound@163.com, shaxuejun@hit.edu.cn

Abstract

With the rapid development of wireless communication industry, the problem of spectrum resource scarcity is becoming more and more serious. To improve the spectral efficiency by compressing the adjacent carrier frequency intervals will increase the inter carrier interference. At this point, the performance of time-invariant filter is poor. If the communication system can make full use of the low energy slots in the time-frequency domain, the spectral efficiency could be improved. This paper proposes a time-frequency resource allocation method in which there is a delay of half a symbol between adjacent carriers. Accordingly, a time-varying filter is proposed. The simulation results show that the proposed time-varying filter performs better than the time-invariant filter.

Keywords
Time-frequency transform Time-varying filter Root raised cosine signal
Published
2018-02-09
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-73564-1_70
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