Selective tone reservation for PAPR reduction in wireless communication systems

Andrey Ivanov, Dmitry Lakontsev

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

    5 Citations (Scopus)

    Abstract

    Orthogonal Frequency Division Multiplexing (OFDM) is a technique, which is widely used in 4G and considered in 5G wireless communication system these days. It is a form of multi-carrier modulation technique. One major disadvantage of OFDM is that the time domain OFDM signal leads to a high peak-to-average power ratio (PAPR). In this paper we propose a new selective tone reservation (STR) algorithm for reducing the PAPR in downlink channel of base station. We simulate the STR for different application scenarios with consideration of 4G/5G requirements. Simulation results show the STR has a PAPR reduction performance much better compared with all traditional methods in that it doesn't require any side information and has no effect on the performance of high order modulation users. Proposed method is fast and has an ultra-low latency compared with well-known iterative methods of tone reservation and constellation extension. Its performance is higher compared with a common clipping and filtering due to employing a constellation recognition technique for blind detection of the modulation order. STR fully fits in 4G/5G standard requirements and its complexity doesn't require a huge computational resources.

    Original languageEnglish
    Title of host publicationProceedings - 2017 IEEE International Workshop on Signal Processing Systems, SiPS 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781538604465
    DOIs
    Publication statusPublished - 14 Nov 2017
    Event2017 IEEE International Workshop on Signal Processing Systems, SiPS 2017 - Lorient, France
    Duration: 3 Oct 20175 Oct 2017

    Publication series

    NameIEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
    Volume2017-October
    ISSN (Print)1520-6130

    Conference

    Conference2017 IEEE International Workshop on Signal Processing Systems, SiPS 2017
    Country/TerritoryFrance
    CityLorient
    Period3/10/175/10/17

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