Error exponents for channel coding and signal constellation design

We consider the optimization of the random coding error exponent of a class of memoryless channels where the input is subject to a peak and average-power constraints. The capacity-achieving input is shown to be typically discrete and an algorithm is developed for computing these optimal distributions. As one application, we propose a new signal constellation design which out-performs QAM and PSK for certain channels.