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In this paper we first show that the exact cumulative distribution function of the estimator can, under mild assumptions, be written in terms of that of a particular quadratic form.
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Under a Rayleigh flat-fading environment, we derive an exact expression for cumulative distribution function (CDF) of the minimum of the two end-to-end instantaneous signal-to-noise ratios (SNRs) and utilize this to obtain an exact expression for the outage probability of such a greedy scheduling scheme.
The exact expression of the cumulative distribution function (CDF) of the MAI is inconsistent with that obtained by using the GA.
First of all, we derive an exact expression for the cumulative distribution function (CDF) of θ k.
Exact probability density function and cumulative distribution function of the end-to-end compound channel are derived in closed form, through an inverse Mellin transform approach.
New exact outage probability expressions are derived analytically in a single-integral form by using the cumulative distribution function approach.
In Section 3, the cumulative distribution function (CDF) of the end-to-end signal-to-interference-plus-noise-and-distortion-ratio (SINDR), the exact expression for the outage probability, and the analytical expression for the instantaneous capacity are derived.
b, Cumulative distribution function of the autosomal count scores.
c, Cumulative distribution function of the autosomal frequency scores.
d, Cumulative distribution function of the autosomal tolerance scores.
The blue line shows the cumulative distribution function (CDF).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com