Optimal training design for MIMO OFDM systems in mobile wireless channels

By Imad Barhumi, Geert Leus, Marc Moonen. IEEE Transactions on Signal Processing, 2003

845 citations recorded by the source corpus.

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Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels (2010, methodology): “Once again, the form of the sensing matrix X here dictates that Mtr = Ω(NT L) for the traditional methods such as those in [11], [12] to obtain a meaningful estimate of Hv, and we have from (13) that E[∆(H v )] = Ω(NRN 2 T L/E) in that case.”
OFDM and Its Wireless Applications: A Survey (2009, methodology): “The pilot sequence proposed in [184] also complies with the aforementioned optimal training criterion.”
Recent Advances in Cloud Radio Access Networks: System Architectures, Key Techniques, and Open Issues (2016, neutral): “[86].”
Spatial- and Frequency-Wideband Effects in Millimeter-Wave Massive MIMO Systems (2017, methodology): “Preamble for Initial Uplink Channel Estimation In the preamble phase, we apply the conventional least square MIMO-OFDM channel estimation algorithm [38] for each antenna at the BS.”
Channel Estimation for OFDM (2014, methodology): “As shown in [147], for a single OFDM symbol, the pilots should be allocated with equal power and equally spaced in the frequency”
Optimal training signals for MIMO OFDM channel estimation (2004, background): “Several Optimal designs, placement and energy allocation of training symbols or pilot tones for frequency-selective block-fading channel estimation in single-carrier or/and OFDM systems were recently proposed in [5]-[11].”