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A Joint Use of Both PAPR Reduction and Neural Network Predistortion Approaches to Compensate the HPA Non-Linearity Impact on FBMC/OQAM Signals

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Abstract

Filter Bank Multi-carrier Modulations with Offset Quadrature Amplitude Modulations (FBMC/OQAM) is an appropriate alternative to Orthogonal Frequency Division Multiplexing (OFDM) for the fifth generation radio access technology. Being a multi-carrier modulation scheme (MCM), FBMC/OQAM suffers from high Peak to Average Power Ratio (PAPR) and thus exhibits significant distortion in the presence of a non-linear high power amplifier (HPA). To date, no research has considered the idea of combining both linearization and PAPR reduction approaches for the FBMC/OQAM system to cope with this problem. In this paper we jointly used the Tone Reservation (TR) PAPR reduction scheme and the Neural Networks Predistortion (NNPD) as a linearization scheme for both the FBMC/OQAM and the OFDM systems. We suggest a serial combination of the TR and the NNPD schemes. Numerical results showed that the proposed combination of the TR and the NNPD schemes provided better performances than when used separately for both OFDM and FBMC/OQAM systems.

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Acknowledgements

This work was supported by the Innov’COM Laboratory of Higher School of Telecommunication, University of Carthage Tunisia.

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  1. InnoV’COM Laboratory-Sup’Com, University of Carthage, Tunis, Tunisia

    Laabidi Mounira & Bouallegue Ridha

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  1. Laabidi Mounira
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  2. Bouallegue Ridha
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Correspondence to Laabidi Mounira.

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Mounira, L., Ridha, B. A Joint Use of Both PAPR Reduction and Neural Network Predistortion Approaches to Compensate the HPA Non-Linearity Impact on FBMC/OQAM Signals. Wireless Pers Commun 101, 1851–1866 (2018). https://doi.org/10.1007/s11277-018-5794-2

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  • DOI: https://doi.org/10.1007/s11277-018-5794-2

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