A stream-wise blind selected mapping technique for low-PAPR multi-user MIMO transmission

Amnart Boonkajay, Fumiyuki Adachi

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    Peak-to-average power ratio (PAPR) of transmit waveform becomes higher when transmit filtering and/or pre-coding are employed. In this paper, we introduce a PAPR reduction scheme called selected mapping without side information transmission (called blind SLM) for both orthogonal frequency division multiplexing (OFDM) and single-carrier (SC) signals. Firstly, we review the proposed blind SLM techniques, considering both single-input single output (SISO) and space-time block coded transmit diversity (STBC-TD). Then, a blind SLM technique for multi-user multiple-input multiple-output (MU-MIMO) transmission with minimum mean-square error (MMSE) filtering and singular value decomposition (SVD), called MMSE-SVD, is introduced. To realize a simple data detection without side-information in MU-MIMO, we recommend that the phase rotation sequence multiplication should be applied to transmit data streams before applying the transmit filtering (called stream-wise SLM). At the receiver, the phase rotation sequence estimation is done for each users data streams after applying the receive filtering. Simulation results confirm that the stream-wise blind SLM for MMSE-SVD can reduce the PAPR of transmit waveforms without degrading bit-error rate (BER).

    本文言語English
    ホスト出版物のタイトル2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ1-6
    ページ数6
    ISBN(電子版)9781538645024
    DOI
    出版ステータスPublished - 2018 4月 2
    イベント2017 IEEE/CIC International Conference on Communications in China, ICCC 2017 - Qingdao, China
    継続期間: 2017 10月 222017 10月 24

    出版物シリーズ

    名前2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
    2018-January

    Other

    Other2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
    国/地域China
    CityQingdao
    Period17/10/2217/10/24

    ASJC Scopus subject areas

    • コンピュータ ネットワークおよび通信
    • コンピュータ サイエンスの応用
    • 信号処理

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