Adaptive MMSE-SVD to Improve the Tracking Ability Against Fast Fading

Yuta Seki, Amnart Boonkajay, Fumiyuki Adachi

    研究成果: Conference contribution

    1 被引用数 (Scopus)


    Multi-User Multiple Input Multiple Output (MU-MIMO) can significantly increase the link capacity without bandwidth expansion. One promising technique is MMSE-SVD, which is a combination of minimum mean square error (MMSE) filter at the base station (BS) side and eigenmode filter generated by singular value decomposition (SVD) at user equipment (UE) side. MMSE-SVD requires BS and UEs to share the MIMO channel state information (CSI) prior to data transmission. This may cause a serious problem in a high mobility environment; the shared MIMO CSI becomes outdated and consequently, the bit-error rate (BER) performance degrades. In this paper, we propose an adaptive MMSE-SVD, which updates the transmit filter using channel prediction and the receive filter using decision-feedback channel estimation. The uncoded BER performance of adaptive MMSE-SVD for orthogonal frequency division multiplexing (OFDM) downlink and single-carrier (SC) uplink is evaluated by computer simulation. Simulation results confirmed that adaptive MMSE-SVD increases the allowable maximum Doppler frequency (boldsymbol{f}-{mathbf{D}}boldsymbol{T}) for keeping mathbf{BER} < 10-{-2} by about 4 times for OFDM downlink while by about 1.6 times for SC uplink.

    ホスト出版物のタイトル2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
    出版社Institute of Electrical and Electronics Engineers Inc.
    出版ステータスPublished - 2018 7月 2
    イベント88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States
    継続期間: 2018 8月 272018 8月 30


    名前IEEE Vehicular Technology Conference


    Conference88th IEEE Vehicular Technology Conference, VTC-Fall 2018
    国/地域United States

    ASJC Scopus subject areas

    • コンピュータ サイエンスの応用
    • 電子工学および電気工学
    • 応用数学


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