Complex Gaussian Random Variables and Matrices
B.1 Some Useful Probability Distributions
Consider that h is a complex Gaussian variable, i.e., a circularly complex variable with zero mean and variance . This means that both the real and imaginary parts of h are zero mean Gaussian variables of variance . In this case, follows a Rayleigh distribution,
(B.1)
with the following properties:
(B.2)
(B.3)
The CDF of s is given by
(B.4)
The random ...
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