Autoregressive Time-Varying Flat-Fading Channels: Model Order and Information Rate Bounds
In this paper, we study the effect of channel memory order on the information rate bounds in time-varying flat-fading (FF) channels. We model time variations of the FF channel with autoregressive (AR) processes with varying degrees of model order. We observe that in high SNR conditions (SNR ≳ 20 dB), the information rate penalty of not knowing the AR channel is a non-increasing function of the AR model order. This is expected, since the AR channel predictability cannot decrease with increasing...[Show more]
|Collections||ANU Research Publications|
|Source:||IEEE International Symposium on Information Theory|
|01_Sadeghi_Autoregressive_Time-Varying_2006.pdf||232.71 kB||Adobe PDF||Request a copy|
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