Filterbank transceivers optimizing information rate in blocktransmissions over dispersive channels
Scaglione, A.; Barbarossa, S.; Giannakis, G.B.
Information Theory, IEEE Transactions on
Volume 45, Issue 3, Apr 1999 Page(s):1019 - 1032
Digital Object Identifier 10.1109/18.761338
Summary:Optimal finite impulse response (FIR) transmit and receive
filterbanks are derived for block-based data transmissions over
frequency-selective additive Gaussian noise (AGN) channels by maximizing
mutual information subject to a fixed transmit-power constraint. Both
FIR and pole-zero channels are considered. The inherent flexibility of
the proposed transceivers is exploited to derive, as special cases,
zero-forcing (ZF) and minimum mean-square error receive filterbanks. The
transmit filterbank converts transmission over a frequency-selective
fading channel, affected by additive colored noise, into a set of
independent flat fading subchannels with uncorrelated noise samples. Two
loading algorithms are also developed to distribute transmit power and
number of bits across the usable subchannels, while adhering to an upper
bound on the bit error rate (BER). Reduction of the signal-to-noise
ratio (SNR) margin required to satisfy the prescribed BER is achieved by
coding each subchannel's bit stream. The potential of the proposed
transceivers is illustrated and compared to discrete multitone (DMT)
with simulated examples
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