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Comparative Study of the Performances of Peak-to-Average Power Ratio (PAPR) Reduction Techniques for Orthogonal Frequency Division Multiplexing (OFDM) Signals

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Information and Communication Technology for Development for Africa (ICT4DA 2017)

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Abstract

In this paper, two distortionless PAPR reduction techniques, Selected Mapping (SLM) and Partial Transmit Sequences (PTS), are compared in terms of PAPR reduction capability and computational complexity for equal number of candidate OFDM symbols. Using MATLAB simulation, it is shown that SLM outperforms PTS in PAPR reduction capability. For small values of the number of subblock partitions, the overall computational complexity of PTS is less than SLM. However, the required PAPR reduction level may not be achieved using small values of number of subblock partitions. Hence, for large values of number of subblock partitions used in PTS, the overall computational complexity of PTS is greater than SLM. In that case, SLM outperforms PTS both in PAPR reduction capability and computational complexity.

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Authors and Affiliations

  1. AAiT, School of Electrical and Computer Engineering, Addis Ababa University, Addis Ababa, Ethiopia

    Workineh Gebeye Abera

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  1. Workineh Gebeye Abera
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Correspondence to Workineh Gebeye Abera .

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Editors and Affiliations

  1. Council for Scientific and Industrial Research, Pretoria, South Africa

    Fisseha Mekuria

  2. Information Technology, University of Turku, Turku, Finland

    Ethiopia Enideg Nigussie

  3. Dresden University of Technology, Dresden, Germany

    Waltenegus Dargie

  4. Aalto University, Helsinki, Finland

    Mutafugwa Edward

  5. Bahir Dar Institute of Technology, Bahir Dar, Ethiopia

    Tesfa Tegegne

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

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Abera, W.G. (2018). Comparative Study of the Performances of Peak-to-Average Power Ratio (PAPR) Reduction Techniques for Orthogonal Frequency Division Multiplexing (OFDM) Signals. In: Mekuria, F., Nigussie, E., Dargie, W., Edward, M., Tegegne, T. (eds) Information and Communication Technology for Development for Africa. ICT4DA 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 244. Springer, Cham. https://doi.org/10.1007/978-3-319-95153-9_6

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  • DOI: https://doi.org/10.1007/978-3-319-95153-9_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95152-2

  • Online ISBN: 978-3-319-95153-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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