  Exploiting outdated channel quality indicators is crucial in most adaptive
wireless communication systems. This is often done through channel prediction
based on previous received indicators. In this paper, we analyze the case where
the feedback delay experienced by the quality indicators is not constant, but
random. Focusing on a single-pole IIR predictor, we obtain analytical
expressions for the MSE and the filter parameters, and study the throughput
behavior through Monte Carlo simulations. Results show that prediction provides
a performance advantage for average delays smaller than 30 ms for low terminal
speeds.
