Abstract
We consider the optimal allocation of resources—power and
bandwidth—between training and data transmissions for
single-user time-selective Rayleigh flat-fading channels under the
cutoff rate criterion. The transmitter exploits statistical
channel state information (CSI) in the form of the channel Doppler
spectrum to embed pilot symbols into the transmission stream. At
the receiver, instantaneous, though imperfect, CSI is acquired
through minimum mean-square estimation of the channel based on
some set of pilot observations. We compute the ergodic cutoff rate
for this scenario. Assuming estimator-based interleaving and
M-PSK inputs, we study two special cases in-depth. First, we
derive the optimal resource allocation for the Gauss-Markov
correlation model. Next, we validate and refine these insights by
studying resource allocation for the Jakes model.