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Research on Peak-to-Average Power Ratio Reduction for FBMC-Based 5G Transmission

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5G for Future Wireless Networks (5GWN 2017)

Abstract

The pursuit of high-quality modulation has become an inevitable trend along with a continuous evolution of mobile communication technologies. The filter-bank based multicarrier (FBMC) modulation, which has aroused wide concern recently for its higher spectral efficiency than orthogonal frequency division multiplexing (OFDM), is considered as a promising candidate solution to the air interface problem in the fifth-generation communication (5G). Since performance of multicarrier transmission is inevitably and largely affected by peak-to-average power ratio (PAPR), research on PAPR reduction methods is essential. After presenting the architecture of an FBMC transmission system and analyzing structural characteristics of FBMC signals, this paper studies several PAPR reduction methods which are previously used in OFDM transmission, and then attempts to apply them to an FBMC transmission environment by giving theoretical derivation. Computer simulation under different cases also verify their feasibility and effectiveness on PAPR reduction of FBMC signal waveform.

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Acknowledgement

This research is sponsored by National Natural Science Foundation of China (No. 61401029), the Fundamental Research Funds for the Central Universities (No. 2012LYB46), Beijing Youth Excellence Program (YETP0296) and Beijing Advanced Innovation Center for Future Education (BJAICFE2016IR-004).

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Correspondence to Junqi Guo .

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

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You, W., Guo, J., Shan, K., Bie, R. (2018). Research on Peak-to-Average Power Ratio Reduction for FBMC-Based 5G Transmission. In: Long, K., Leung, V., Zhang, H., Feng, Z., Li, Y., Zhang, Z. (eds) 5G for Future Wireless Networks. 5GWN 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-319-72823-0_31

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  • DOI: https://doi.org/10.1007/978-3-319-72823-0_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72822-3

  • Online ISBN: 978-3-319-72823-0

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