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This paper proposes a new family of optimal training sequences in terms of minimizing the mean-square channel estimation error for spectrally-efficient Multi-User MIMO-OFDM systems with an arbitrary number of transmit antennas and an arbitrary number of training symbols. It addresses uplink transmission scenarios where the users overlap in time and frequency and are separated using spatial processing...
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