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Link adaptation in which the transmission data rate is dynamically adjustedaccording to channel variation is often used to deal with time-varying natureof wireless channel. When channel state information at the transmitter (CSIT)is delayed by more than channel coherence time due to feedback delay, however,the effect of link adaptation can possibly be taken away if this delay is nottaken into account. One way to deal with such delay is to predict currentchannel quality given available observation, but this would inevitably resultin prediction error. In this paper, an algorithm with different view point isproposed. By using conditional cdf of current channel given observation, outageprobability can be computed for each value of transmission rate $R$. Byassuming that the transmission block error rate (BLER) is dominated by outageprobability, the expected throughput can also be computed, and $R$ can bedetermined to maximize it. The proposed scheme is designed to be optimal ifchannel has ergodicity, and it is shown to considerably outperform conventionalschemes in certain Rayleigh fading channel model.

Outage-based ergodic link adaptation for fading channels with delayed CSIT