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Finite-state Markov model for chi-square (central) SNR variations in A-CDMA systems

Abstract : In this paper, we design a finite-state Markov channel (FSMC) model to represent the received signal-to-noise ratio (SNR) in an asynchronous CDMA system. The received SNR follows a chi-square (central) distribution if the multipath fading amplitude is Rayleigh distributed. A slow fading Rayleigh channel is considered in this paper. Performance measures such as average symbol error probability, steady-state probability, and transition probabilities are computed from the FSMC. Second-order statistics associated with the envelope fading, such as the level crossing rate and the average fade duration, are also computed. Numerical results depicting the performance of the FSMC are computed to realize the utility of the Markov model.
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Contributor : Kondo Adjallah <>
Submitted on : Wednesday, December 30, 2020 - 5:13:52 PM
Last modification on : Monday, June 21, 2021 - 3:34:01 PM


  • HAL Id : hal-03091171, version 1



Vidhyacharan Bhaskar, Kondo Hloindo Adjallah. Finite-state Markov model for chi-square (central) SNR variations in A-CDMA systems. the 8th IASTED International Conference on Intelligent Systems and Control (ISC’2005), Oct 2005, Cambridge, United States. pp.323-328. ⟨hal-03091171⟩



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