Formula for complementary cumulative distribution function (CCDF) using Laplace and inverse Laplace transform

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I am reading the paper. In this paper, the total received power at the origin from the set of active base stations (BSs) located at $x_i$ is defined as
$$P_r=asum_x_i in Phi Pcdot h_x_i cdot||x_i||^-alpha$$
where $h_x_i stackreliidsim exp(1)$ and $Phi$ is the Poisson point process and is independent with $h_x_i$ for all $i$.



The probability of having $P_r geq T$ is denoted as the wake-up probablity:
$$P_w=mathbb P(P_r geq T )$$
It is also the complementary cumulative distribution function (CCDF) of $P_r$.

$Theorem$ 1 in this paper gives the fomula for $P_w$ as
$$P_w=int^infty_0frac1pi uexp[-uT] times expleft[-frac2pi^2lambda deltaalpha tanleft(frac2pialpharight)(aP)^frac2alphau^frac2alpharight] times sin left(frac2pi^2lambdadeltaalpha(aP)^frac2alphau^frac2alpharight)du$$
I know the formula looks "ugly" and some of the letters are just constants, and I was trying to derive it. There are some hints and part of the proof in the appendix part of the paper. The idea is find the Laplace transform of $P_r$ first then do the inverse Laplace transform.



The Laplace transform (which I already checked with the result in the paper) is
$$mathscr L_P_r(s)=expleft-frac2pi^2lambda deltaalpha sinleft(frac2pialpharight)(aP)^frac2alphas^frac2alpharight$$
So since we want the CCDF of $P_r$, and the Laplace transform of $mathscr L_P_r(s)$ gives the pdf, so I guess we need to find the inverse Laplace transform of $frac1smathscr L_P_r(s)$, then $1-mathscr L^-1left[frac1smathscr L_P_r(s)right]$ is what we want? But I do not know how to get the $P_w$ showed above.



Any help will deeply appreciate!







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    up vote
    0
    down vote

    favorite












    I am not sure whether it is the right place to ask.



    I am reading the paper. In this paper, the total received power at the origin from the set of active base stations (BSs) located at $x_i$ is defined as
    $$P_r=asum_x_i in Phi Pcdot h_x_i cdot||x_i||^-alpha$$
    where $h_x_i stackreliidsim exp(1)$ and $Phi$ is the Poisson point process and is independent with $h_x_i$ for all $i$.



    The probability of having $P_r geq T$ is denoted as the wake-up probablity:
    $$P_w=mathbb P(P_r geq T )$$
    It is also the complementary cumulative distribution function (CCDF) of $P_r$.

    $Theorem$ 1 in this paper gives the fomula for $P_w$ as
    $$P_w=int^infty_0frac1pi uexp[-uT] times expleft[-frac2pi^2lambda deltaalpha tanleft(frac2pialpharight)(aP)^frac2alphau^frac2alpharight] times sin left(frac2pi^2lambdadeltaalpha(aP)^frac2alphau^frac2alpharight)du$$
    I know the formula looks "ugly" and some of the letters are just constants, and I was trying to derive it. There are some hints and part of the proof in the appendix part of the paper. The idea is find the Laplace transform of $P_r$ first then do the inverse Laplace transform.



    The Laplace transform (which I already checked with the result in the paper) is
    $$mathscr L_P_r(s)=expleft-frac2pi^2lambda deltaalpha sinleft(frac2pialpharight)(aP)^frac2alphas^frac2alpharight$$
    So since we want the CCDF of $P_r$, and the Laplace transform of $mathscr L_P_r(s)$ gives the pdf, so I guess we need to find the inverse Laplace transform of $frac1smathscr L_P_r(s)$, then $1-mathscr L^-1left[frac1smathscr L_P_r(s)right]$ is what we want? But I do not know how to get the $P_w$ showed above.



    Any help will deeply appreciate!







    share|cite|improve this question





















      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I am not sure whether it is the right place to ask.



      I am reading the paper. In this paper, the total received power at the origin from the set of active base stations (BSs) located at $x_i$ is defined as
      $$P_r=asum_x_i in Phi Pcdot h_x_i cdot||x_i||^-alpha$$
      where $h_x_i stackreliidsim exp(1)$ and $Phi$ is the Poisson point process and is independent with $h_x_i$ for all $i$.



      The probability of having $P_r geq T$ is denoted as the wake-up probablity:
      $$P_w=mathbb P(P_r geq T )$$
      It is also the complementary cumulative distribution function (CCDF) of $P_r$.

      $Theorem$ 1 in this paper gives the fomula for $P_w$ as
      $$P_w=int^infty_0frac1pi uexp[-uT] times expleft[-frac2pi^2lambda deltaalpha tanleft(frac2pialpharight)(aP)^frac2alphau^frac2alpharight] times sin left(frac2pi^2lambdadeltaalpha(aP)^frac2alphau^frac2alpharight)du$$
      I know the formula looks "ugly" and some of the letters are just constants, and I was trying to derive it. There are some hints and part of the proof in the appendix part of the paper. The idea is find the Laplace transform of $P_r$ first then do the inverse Laplace transform.



      The Laplace transform (which I already checked with the result in the paper) is
      $$mathscr L_P_r(s)=expleft-frac2pi^2lambda deltaalpha sinleft(frac2pialpharight)(aP)^frac2alphas^frac2alpharight$$
      So since we want the CCDF of $P_r$, and the Laplace transform of $mathscr L_P_r(s)$ gives the pdf, so I guess we need to find the inverse Laplace transform of $frac1smathscr L_P_r(s)$, then $1-mathscr L^-1left[frac1smathscr L_P_r(s)right]$ is what we want? But I do not know how to get the $P_w$ showed above.



      Any help will deeply appreciate!







      share|cite|improve this question











      I am not sure whether it is the right place to ask.



      I am reading the paper. In this paper, the total received power at the origin from the set of active base stations (BSs) located at $x_i$ is defined as
      $$P_r=asum_x_i in Phi Pcdot h_x_i cdot||x_i||^-alpha$$
      where $h_x_i stackreliidsim exp(1)$ and $Phi$ is the Poisson point process and is independent with $h_x_i$ for all $i$.



      The probability of having $P_r geq T$ is denoted as the wake-up probablity:
      $$P_w=mathbb P(P_r geq T )$$
      It is also the complementary cumulative distribution function (CCDF) of $P_r$.

      $Theorem$ 1 in this paper gives the fomula for $P_w$ as
      $$P_w=int^infty_0frac1pi uexp[-uT] times expleft[-frac2pi^2lambda deltaalpha tanleft(frac2pialpharight)(aP)^frac2alphau^frac2alpharight] times sin left(frac2pi^2lambdadeltaalpha(aP)^frac2alphau^frac2alpharight)du$$
      I know the formula looks "ugly" and some of the letters are just constants, and I was trying to derive it. There are some hints and part of the proof in the appendix part of the paper. The idea is find the Laplace transform of $P_r$ first then do the inverse Laplace transform.



      The Laplace transform (which I already checked with the result in the paper) is
      $$mathscr L_P_r(s)=expleft-frac2pi^2lambda deltaalpha sinleft(frac2pialpharight)(aP)^frac2alphas^frac2alpharight$$
      So since we want the CCDF of $P_r$, and the Laplace transform of $mathscr L_P_r(s)$ gives the pdf, so I guess we need to find the inverse Laplace transform of $frac1smathscr L_P_r(s)$, then $1-mathscr L^-1left[frac1smathscr L_P_r(s)right]$ is what we want? But I do not know how to get the $P_w$ showed above.



      Any help will deeply appreciate!









      share|cite|improve this question










      share|cite|improve this question




      share|cite|improve this question









      asked Aug 3 at 2:58









      Nan

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