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A Channel Estimation Scheme of Short Packets in Frequency Selective Channels

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6GN for Future Wireless Networks (6GN 2021)

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Abstract

In order to meet the needs of low delay in the IoT (Internet of Things) technology, short packets communication have recently attracted the attention of many researchers. In our scenario, the interference of multiple users cannot be ignored. Therefore, in order to overcome multi-user interference without affecting the efficiency of short packets transmission, we propose an efficient short packets receiving process for fast moving vehicles under a frequency-selective fading channel. During transmission, the obtained data are used to assist channel estimation. This method can also solve the problem of channel estimation quality degradation caused by a small number of pilots. Under the condition of high SNR, the performance of this scheme is improved significantly, which is close to perfect channel knowledge. Under the condition of low SNR, since the influence of the bit error rate of soft decision cannot be ignored, we adopt the scheme to eliminate multipath interference, which can effectively improve the estimation performance.

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Acknowledgments

This paper is supported by the National Key R&D Program of China (No.2020YFE0205800).

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Authors and Affiliations

  1. Communications Research Center, Harbin Institute of Technology, Harbin, China

    Chenguang He, Jianhui Zhang, Yu Wang & Shouming Wei

Authors
  1. Chenguang He
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  2. Jianhui Zhang
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  3. Yu Wang
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  4. Shouming Wei
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Corresponding author

Correspondence to Jianhui Zhang .

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Editors and Affiliations

  1. Harbin Institute of Technology, Harbin, China

    Shuo Shi

  2. Harbin Institute of Technology, Weihai, China

    Ruofei Ma

  3. Zhejiang University of Technology, Hangzhou, China

    Weidang Lu

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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He, C., Zhang, J., Wang, Y., Wei, S. (2022). A Channel Estimation Scheme of Short Packets in Frequency Selective Channels. In: Shi, S., Ma, R., Lu, W. (eds) 6GN for Future Wireless Networks. 6GN 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 439. Springer, Cham. https://doi.org/10.1007/978-3-031-04245-4_11

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  • DOI: https://doi.org/10.1007/978-3-031-04245-4_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-04244-7

  • Online ISBN: 978-3-031-04245-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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