Finite-state Markov Model for Lognormal, Chi-square (Central), Chi-square (Non-central), and K-distributions
- Vidhyacharan Bhaskar
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This paper formulates a finite-state Markov channel model to represent received signal-to-noise (SNR) ratios having lognormal, K-distribution, chi-square (central) and chi-square (non-central) distributions in a slow fading channel. The range of the SNRs is partitioned into a finite number of states following earlier works in literature. Performance measures like level crossing rates, steady-state probabilities, transition probabilities, and state-time durations are derived, and numerical results are plotted and discussed for the FSMC models for all the distributions.
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- Finite-state Markov Model for Lognormal, Chi-square (Central), Chi-square (Non-central), and K-distributions
International Journal of Wireless Information Networks
Volume 14, Issue 4 , pp 237-250
- Cover Date
- Print ISSN
- Online ISSN
- Springer US
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- Lognormal distribution
- Chi-square (central) distribution
- Chi-square (non-central) distribution
- Level crossing rate
- Average fade duration
- Industry Sectors
- Author Affiliations
- 1. Department of Electronics and Communication Engineering, SRM University, Kattankulathur, Kancheepuram, 603203, India