MU-MIMO-OFDM with Analog Beamforming and Spreading Codes for User Separation

Kei Nakahara, Kosuke Terui, Yukitoshi Sanada

    研究成果: Conference contribution

    抄録

    This paper presents a multiuser (MU)-multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) scheme that realizes signal separation among mobile terminals by spreading codes on top of analog beamforming with analog-digital hybrid massive MIMO. Multiuser MIMO scheme suffers from interference among terminals caused by inaccurate information of channel responses. The channel state information (CSI) of the terminals are outdated owing to a Doppler shift if there is a time lag between channel estimation and CSI feedback. Thus, this paper proposes an MU-MIMO-OFDM scheme with analog-digital hybrid massive MIMO and orthogonal spreading codes that separates signals for mobile terminals. Numerical results obtained through computer simulation show that on WINNER II Umi NLOS channel the proposed scheme improves bit error rate (BER) performance by 1.0dB at a bit error rate of 10-3 in comparison with the conventional MU-MIMO.

    本文言語English
    ホスト出版物のタイトルISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ96-101
    ページ数6
    ISBN(電子版)9781538657713
    DOI
    出版ステータスPublished - 2018 11
    イベント2018 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2018 - Ishigaki Island, Okinawa, Japan
    継続期間: 2018 11 272018 11 30

    出版物シリーズ

    名前ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems

    Conference

    Conference2018 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2018
    CountryJapan
    CityIshigaki Island, Okinawa
    Period18/11/2718/11/30

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Networks and Communications
    • Computer Science Applications
    • Signal Processing

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