Reliable adaptive modulation using long-range prediction at a different carrier frequency

For fast vehicle speeds, reliable adaptive transmission requires prediction of future channel state information (CSI) since the channel conditions are rapidly time-variant. We propose to use past channel observations of one carrier to predict future CSI and perform adaptive modulation for another correlated carrier. A statistical model of the prediction error that depends on the frequency and time correlation is developed and is used in the design of reliable adaptive modulation methods. Significant gains relative to nonadaptive techniques are demonstrated for sufficiently correlated channels and realistic prediction range. Both Jakes (1974) fading model and a novel realistic physical model of frequency selective fading are used to validate performance of the proposed method.