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Tomlinson-Harashima precoding with partial channel knowledge

Liavas Athanasios

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/C97F36CC-8F47-4D62-9526-53EEF10B622F
Έτος 2005
Τύπος Δημοσίευση σε Περιοδικό με Κριτές
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Λεπτομέρειες
Βιβλιογραφική Αναφορά A. P. Liavas, “Tomlinson-Harashima precoding with partial channel knowledge,” IEEE Trans. Commun., vol. 53, no 1, pp. 5–9, Jan. 2005.doi: 10.1109/TCOMM.2004.840669 https://doi.org/10.1109/TCOMM.2004.840669
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Περίληψη

We consider minimum mean-square error Tomlinson-Harashima (MMSE-TH) precoding for time-varying frequency-selective channels. We assume that the receiver estimates the channel and sends the channel state information (CSI) estimate to the transmitter through a lossless feedback channel that introduces a certain delay. Thus, the CSI mismatch at the receiver is due to estimation errors, while the CSI mismatch at the transmitter is due to both estimation errors and channel time variations. We exploit a priori statistical channel knowledge, and we derive an optimal TH precoder, adopting a Bayesian approach. We use simulations to compare the performance of the so-derived TH precoder with that of the same-complexity MMSE decision-feedback equalizer (DFE). We observe that for low signal-to-noise ratios (SNRs) and sufficiently slow channel time variations, the optimal TH precoder outperforms the DFE, while at high SNR, the opposite happens

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