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 This may cause a serious problem in a high mobility environment; the shared MIMO CSI becomes outdated and consequently, the bit-error rate (BER) performance degrades.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.


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    Titel :

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


    Beteiligte:
    Seki, Yuta (Autor:in) / Boonkajay, Amnart (Autor:in) / Adachi, Fumiyuki (Autor:in)


    Erscheinungsdatum :

    01.08.2018


    Format / Umfang :

    424715 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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