A blind polyphase time-domain selected mapping for filtered single-carrier signal transmission

Amnart Boonkajay, Fumiyuki Adachi

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)

    Abstract

    Single-carrier (SC) signal has a low peak-to-average power ratio (PAPR) property. However, the PAPR of SC signal increases if transmit filtering and/or high-level modulation are applied. We have recently proposed a time-domain selected mapping (TD-SLM) which effectively reduces the PAPR of filtered SC signals by applying the binary phase rotation before transmit filtering, but the necessity of side-information decreases the spectrum efficiency (SE). In this paper, a blind TD-SLM which does not require side-information is proposed. Unlike the frequency-domain SLM (FD-SLM) and the original TD-SLM with side-information, polyphase rotations are used. Performance evaluation of the proposed blind TD-SLM is done by computer simulation assuming turbo-coded filtered SC block signal transmission in aspects of PAPR and bit-error rate (BER) to show that no significant BER performance degradation is occurred.

    Original languageEnglish
    Title of host publication2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781509017010
    DOIs
    Publication statusPublished - 2016 Jul 2
    Event84th IEEE Vehicular Technology Conference, VTC Fall 2016 - Montreal, Canada
    Duration: 2016 Sep 182016 Sep 21

    Publication series

    NameIEEE Vehicular Technology Conference
    Volume0
    ISSN (Print)1550-2252

    Other

    Other84th IEEE Vehicular Technology Conference, VTC Fall 2016
    Country/TerritoryCanada
    CityMontreal
    Period16/9/1816/9/21

    Keywords

    • Peak-to-average power ratio (PAPR)
    • Selected mapping (SLM)
    • Single-carrier (SC) transmission

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Applied Mathematics

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