### Quantitative Comparison of Packet Switching and Circuit Switching

This question requires a little bit of background in probability (but we'll try to help you though it in the solutions). Consider the two scenarios below:

- A circuit-switching scenario in which
*N*users, each requiring a bandwidth of 20 Mbps, must share a link of capacity 200 Mbps._{cs} - A packet-switching scenario with
*N*users sharing a 200 Mbps link, where each user again requires 20 Mbps when transmitting, but only needs to transmit 10 percent of the time._{ps}

Round your answer to two decimals after leading zeros

### Question List

1. When circuit switching is used, what is the maximum number of users that can be supported?

2. Suppose packet switching is used. If there are 19 packet-switching users, can this many users be supported under circuit-switching? Yes or No.

3. Suppose packet switching is used. What is the probability that a given (specific) user is transmitting, and the remaining users are not transmitting?

4. Suppose packet switching is used. What is the probability that one user (*any* one among the 19 users) is transmitting, and the remaining users are not transmitting?

5. When one user is transmitting, what fraction of the link capacity will be used by this user? Write your answer as a decimal.

6. What is the probability that any 12 users (of the total 19 users) are transmitting and the remaining users are not transmitting?

7. What is the probability that * more * than 10 users are transmitting?

### Solution

1. When circuit switching is used, at most 10 users can be supported. This is because each circuit-switched user must be allocated its 20 Mbps bandwidth, and there is 200 Mbps of link capacity that can be allocated.

2. No. Under circuit switching, the 19 users would each need to be allocated 20 Mbps, for an aggregate of 380 Mbps - more than the 200 Mbps of link capacity available.

3. The probability that a given (specific) user is busy transmitting, which we'll denote p, is just the fraction of time it is transmitting, i.e. 0.1. The probability that one specific other user is not busy is (1-p), and so the probability that all of the other N_{ps}-1 users are not transmitting is (1-p)^{Nps-1}. Thus the probability that one specific user is transmitting and the remaining users are not transmitting is p*(1-p)^{Nps-1}, which has the numerical value of 0.015.

4. The probability that exactly one (any one) of the N_{ps} users is transmitting is N_{ps} times the probability that a given specific user is transmitting and the remaining users are not transmitting. The answer is thus N_{ps} * p * (1-p)^{Nps-1}, which has the numerical value of 0.29.

5. This user will be transmitting at a rate of 20 Mbps over the 200 Mbps link, using a fraction 0.1 of the link's capacity when busy.

6. The probability that 12 specific users of the total 19 users are transmitting and the other 7 users are idle is p^{12}(1-p)^{7}. Thus the probability that any 4 of the 7 users are busy is choose(19, 12) * p^{12}(1-p)^{7}, where choose(19, 12) is the (19, 12) coefficient of the binomial distribution). The numerical value of this probability is 2.41E-8.

7. The probability that more than 10 users of the total 19 users are transmitting is Σ _{i=11,19} choose(19, i) * p^{i}(1-p)^{19 - i}. The numerical value of this probability is 3.51E-7. Note that 10 is the maximum number of users that can be supported using circuit switching. With packet switching, nearly twice as many users (19) are supported with a small probability that more than 10 of these packet-switching users are busy at the same time.

That's incorrect

That's correct

The answer was: 10

The answer was: No

The answer was: 0.015

The answer was: 0.29

The answer was: 0.1

The answer was: 2.41E-8

The answer was: 3.51E-7