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

Summary: Autoregressive Time-Varying Flat-Fading Channels:
Model Order and Information Rate Bounds
Parastoo Sadeghi
The Australian National University
Canberra 0200 ACT Australia
Email: parastoo.sadeghi@anu.edu.au
Predrag Rapajic
University of Greenwich at Medway
KENT ME4 4TB United Kingdom
Email: p.rapajic@greenwhich.ac.uk
Rodney Kennedy and Thushara Abhayapala
The Australian National University
Canberra 0200 ACT Australia
Email: firstname.lastname@anu.edu.au
Abstract-- 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

  

Source: Abhayapala, Thushara D. - Department of Information Engineering, Australian National University
Sadeghi, Parastoo - Department of Information Engineering, Australian National University

 

Collections: Computer Technologies and Information Sciences; Engineering