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PAPR Reduction in SDR-Based OFDM System

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Evolutionary Computing and Mobile Sustainable Networks

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 116))

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Abstract

Orthogonal frequency division multiplexing (OFDM) is a promising new technology as it manages multicarrier modulation. Due to the high spectral bandwidth efficiency and robustness against multipath fading and intersymbol interference (ISI), the OFDM has been accepted for several high data rate wireless communication systems. But the OFDM system’s major disadvantage is its high peak-to-average power ratio (PAPR). Hence, the execution of PAPR reduction methods in the OFDM system assists in defeating the high PAPR problem. Software-defined radio (SDR) is a radio platform that is flexible and makes wireless networks highly adaptive. Hence, in this paper, the performance of the selective mapping (SLM) and clipping and filtering PAPR reduction techniques are analysed for SDR-based OFDM systems using LabVIEW (Laboratory Virtual Instrument Engineering Workbench). The proposed work not only provides a simpler method for PAPR reduction but also scalable for a large value of data in the form of bits.

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Authors and Affiliations

  1. Department of Electronics and Communication, Dayananda Sagar College of Engineering, Bengaluru, India

    L. Chandini & A. Rajagopal

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  1. L. Chandini
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  2. A. Rajagopal
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Editors and Affiliations

  1. Department of Information Science and Engineering, Research and Industry Incubation Center, Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India

    V. Suma

  2. Ryerson Communications Lab, Toronto, ON, Canada

    Xavier Fernando

  3. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada

    Ke-Lin Du

  4. Go Perception Laboratory, Cornell University, Ithaca, NY, USA

    Haoxiang Wang

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Chandini, L., Rajagopal, A. (2022). PAPR Reduction in SDR-Based OFDM System. In: Suma, V., Fernando, X., Du, KL., Wang, H. (eds) Evolutionary Computing and Mobile Sustainable Networks. Lecture Notes on Data Engineering and Communications Technologies, vol 116. Springer, Singapore. https://doi.org/10.1007/978-981-16-9605-3_74

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  • DOI: https://doi.org/10.1007/978-981-16-9605-3_74

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-9604-6

  • Online ISBN: 978-981-16-9605-3

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