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Question: Find the expected time to transmit the packet.

If $T$ is the random variable describing the time it takes for transmitting the packet, then $$T = \frac{L}{C}$$. And the probability that it takes t seconds to transmit the packet is $$P(T=t)=P(L= Ct) = \mu(1-\mu)^{Ct-1}$$

So I try this formula to get the expected time to transmit the packet. $$\sum_{t=0}^{\infty}tP(T=t) = \sum_{t=0}^{\infty}t\mu(1-\mu)^{Ct-1} = \frac{-\mu(1-\mu)^{C}}{(\mu-1)((1-\mu)^{C}-1)^2}$$ But the answer is $$E[T]=\frac{1}{\mu C}$$

What is wrong with my equation?

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    Note: $T=L/C$ and $L \in \{1,2,3,4,5,...\}$ means $T\in\{\frac 1C, \frac 2C, \frac 3C, ....\}$2017-01-28

2 Answers 2

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Your primary error lies in the support of $T$.

Because $T=L/C$ and $L\in \{1,2,3,4,,\ldots\}$, therefore the support of $T$ is not integer.   $T\in\{\frac 1C, \frac 2C, \frac 3C, \ldots\}$

To ensure you are summing over integer intervals, use a change of variables.

Then you should have $$\begin{align}\mathsf E(T) ~&=~ {\sum}_{t\in\{\frac 1C, \frac 2C, \ldots\}} t~\mathsf P(T=t) \\[1ex] &=~ \sum_{tC=1}^\infty t \mu\, (1-\mu)^{tC-1} \\[1ex] &=~ C^{-1}\mu(1-\mu)^{-1}\sum_{k=1}^\infty k(1-\mu)^{k}\end{align}$$

Which simplifies, unsurprisingly, to: $~1/C\mu$

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great question. so here is how to solve this.

\begin{equation} \begin{split} ET= \sum_{l=0}^{\infty}\frac{l}{c}\mu(1-\mu)^{l-1} \\ &=\frac{\mu}{c}\sum_{l=0}^{\infty}l\cdot (1-\mu)^{l-1} \\ &=\frac{\mu}{c}\sum_{l=0}^{\infty}-\frac{d}{d\mu}(1-\mu)^{l}\\ &=\frac{-\mu}{c}\frac{d}{d\mu}\sum_{l=0}^{\infty}(1-\mu)^{l} \\ &=\frac{-\mu}{c}\frac{d}{d\mu}\frac{1}{1-(1-\mu)} \\ &=\frac{\mu}{c}\frac{-d}{d\mu}\frac{1}{\mu}\\ &=\frac{1}{\mu C} \end{split} \end{equation}

we can interchange the infinite series and the derivative because we know that $\sum_{0}^{\infty}l(1-\mu)^{l}$ converges uniformly