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Autoregressive Time-Varying Flat-Fading Channels: Model Order and Information Rate Bounds

Sadeghi, Parastoo; Rapajic, Predrag; Kennedy, Rodney; Abhayapala, Thushara

Description

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]

CollectionsANU Research Publications
Date published: 2006
Type: Conference paper
URI: http://hdl.handle.net/1885/28414
Source: IEEE International Symposium on Information Theory
DOI: 10.1109/ISIT.2006.261890

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