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OFDM Link with a Better Performance Using Artificial Neural Network

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Abstract

In this paper, a scheme for reducing the peak-to-average power ratio (PAPR) primarily and bit error rate simultaneously in orthogonal frequency division multiplexing using feed forward artificial neural network is proposed and analyzed. The proposed scheme switches one or more null-carriers with data subcarriers to offer minimum PAPR and requires no channel side information during transmission. To reduce high computational complexity, a multilayer neural network with Levenberg–Marquardt training algorithm is used. The proposed scheme thus suits to supplement some of other PAPR-reduction methods with low rate hit and complexity.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Jaypee University of Engineering and Technology, Guna, MP, India

    Amit Mishra, Rajiv Saxena & Manish Patidar

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  1. Amit Mishra
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  2. Rajiv Saxena
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  3. Manish Patidar
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Correspondence to Amit Mishra.

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Mishra, A., Saxena, R. & Patidar, M. OFDM Link with a Better Performance Using Artificial Neural Network. Wireless Pers Commun 77, 1477–1487 (2014). https://doi.org/10.1007/s11277-013-1593-y

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