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Autoregressive modeling for fading channel simulation

IEEE Transactions on Wireless Communications · 2005 · Vol. 4(4) · pp. 1650–1662
Kareem E. BaddourNorman C. Beaulieu

Abstract

Autoregressive stochastic models for the computer simulation of correlated Rayleigh fading processes are investigated. The unavoidable numerical difficulties inherent in this method are elucidated and a simple heuristic approach is adopted to enable the synthesis of accurately correlated, bandlimited Rayleigh variates. Startup procedures are presented, which allow autoregressive simulators to produce stationary channel gain samples from the first output sample. Performance comparisons are then made with popular fading generation techniques to demonstrate the merits of the approach. The general applicability of the method is demonstrated by examples involving the accurate synthesis of nonisotropic fading channel models.

Advanced Wireless Communication TechniquesWireless Communication Networks ResearchAdvanced MIMO Systems OptimizationFadingAutoregressive modelRayleigh fadingFading distributionComputer scienceChannel (broadcasting)AlgorithmChannel state informationStochastic processStatistics

Funding

  • University of Alberta
Citations
596
FWCI
29.02
field-weighted impact
References
48
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References
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