id: 05536955
dt: j
an: 05536955
au: Bhaskar, Vidhyacharan
ti: Finite-state Markov model for lognormal, chi-square (Central), chi-square
    (Non-central), and $K$-distributions.
so: Int. J. Wirel. Inf. Netw. 14, No. 4, 237-250 (2007).
py: 2007
pu: Springer, Norwell, MA
la: EN
cc: 
ut: Key words: Lognormal distribution; $K$-distribution; Chi-square (central)
    distribution; Chi-square (non-central) distribution; Level crossing
    rate; Average fade duration
ci: 
li: doi:10.1007/s10776-007-0065-2
ab: Summary: 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.
rv: