JPL's Wireless Communication Reference WebsiteChapter: Wireless Channels

Here, is the localmean scattered power and is the power of the dominant component. The pdf of the amplitude is found from the integral
,
where is the modified Bessel function of the first kind and zero order, defined as
function I0(z){ if (z > 4) return Math.exp(z)/Math.sqrt(2*Math.PI*z)*(1+1/(8*z)); else return 1 + z*z/4 + Math.pow(z,4)/64 + Math.pow(z,6)/2304 + Math.pow(z,8)/147456; }
The total localmean power is the sum of the power in the lineofsight and the localmean scattered power.
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The localmean scattered power equals s^{2} = /(K + 1). The amplitude of the lineofsight is C = Ö( 2K/(K + 1) )
From the pdf of signal amplitude, one can derive the pdf of signal power using the standard mathematical methods. In particular, we need p = r^{2}/2, so dp = r dr. This is used in f_{p}(p) dp = f_{r}(r) dr
(1+K)e^{K} (1+K) p f_{p} (p) =  exp(  p ) I_{0} (Ö (4K(1+K) ) )
Figure: Probability Density Function of received signal power for various Rician Kfactors. The total local mean power (scattered plus lineofsight) = 1. Source code: PlotRice.java Credits: The Java curves are computed using the Ptolemy Plot package, authored by Edward Lee et al. © University of California, Berkeley. 
Outage probability = (1 + K) exp(K) h^{1}
where the fade margin h is defined as the localmean power devided by the threshold p_{n}.
Hint: Use only the first term of the approximation for the Bessel function given on this page. Then integrate the PDF for powers from zero to p_{n}.
Compare this with the expression for the special case of Rayleigh fading (K = 0). What is different? The level, the slope or both level and slope of the curve of probability versus h?