A modified shuffled frog leaping algorithm for PAPR reduction in OFDM systems

Jie Zhou, Eryk Dutkiewicz, Ren Ping Liu, Gengfa Fang, Yuanan Liu, Xiaojing Huang

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

    2 Citations (Scopus)


    Reducing peak-to-average power ratio (PAPR) is an implementation challenge in orthogonal frequency division multiplexing (OFDM) systems. One way to reduce PAPR is to apply a set of selected partial transmission sequence (PTS) to the transmit signals. However, PTS selection is a highly complex NP-hard problem and the computational complexity is very high when a large number of subcarriers are used in the OFDM system. In this paper, we propose a new heuristic PTS selection method, the modified chaos clonal shuffled frog leaping algorithm (MCCSFLA-PTS). The MCCSFLA-PTS is inspired by natural clonal selection of frog colony and based on chaos theory. Simulation results show that the proposed MCCSFLA-PTS achieves better PAPR reduction than genetic, quantum evolutionary and selective mapping algorithms. Furthermore, the proposed algorithm converges faster than the genetic and quantum evolutionary algorithms.

    Original languageEnglish
    Title of host publication TENCON 2014 - 2014 IEEE Region 10 Conference
    Subtitle of host publicationLeveraging Technology for a Better Tomorrow
    Place of PublicationPiscataway, NJ
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Number of pages12
    ISBN (Electronic)9781479940752, 9781479940776
    ISBN (Print)9781479940769, 9781479940745
    Publication statusPublished - 2014
    EventIEEE TENCON-2014 - Bangkok, Thailand
    Duration: 22 Oct 201425 Oct 2014

    Publication series

    NameTENCON ... IEEE Region Ten Conference
    ISSN (Print)2159-3442
    ISSN (Electronic)2159-3450


    ConferenceIEEE TENCON-2014


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