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CHANNEL ESTIMATION FOR 64-QAM
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Cognitive radios have the ability to sense their
RF environment and adapt their transmission parameters to
perform optimally in any situation. Part of this involves selecting
the best modulation type for a particular channel. In this
paper we consider a variable-rate, variable-power, adaptive, Mary
Quadrature Amplitude Modulation (M-QAM) scheme in a
single-user communication scenario. The channel between the
transmitter and receiver is assumed to be a Rayleigh block-fading
channel. Each block is divided into training and data phases.
During the training phase, the receiver estimates the channel and
feeds the estimate back to the transmitter. D
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