Abstract
A data-assisted channel estimation scheme to exploit the temporal channel correlation in massive multiple-input multiple-output uplink transmission is proposed. Specifically, the previous decoded uplink frame is used to suppress the inter-cell interference in the channel estimation of the current frame. Based on the proposed scheme, we derive the asymptotic signal-to-interference expression, and the insights on how the network and channel parameters affect the system performance are obtained. It is shown numerically and analytically that the data-assisted scheme can reduce channel estimation errors and improve the signal-to-interference performance of uplink massive MIMO systems significantly with the appropriate channel temporal correlation.
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