AMC using cumulants with segmentation of input sequence for dispersive fading channels

In this paper, we present an analysis of AMC algorithms based on fourth-order cumulants with additional segmentation of input sequence introduced here in order to improve cumulant estimate quality. We here observe several possible solutions that are based on combining of cumulant estimates derived independently for the particular segments. The performances of the examined AMC solutions coupled with two channel estimation methods are evaluated through Monte-Carlo trials for different dispersive fading channels.