For designing a communication system, which among the following parameters should be maximum? 1. Transmission rate 2. Received signal-to-noise ratio 3. Error probability 4. Bandwidth requirement A. 1 and 2 B. 3 and 4 C. 1 and 3 D. 2 and 4

[amp_mcq option1=”1 and 2″ option2=”3 and 4″ option3=”1 and 3″ option4=”2 and 4″ correct=”option3″]

The correct answer is: C. 1 and 3

The transmission rate is the maximum number of bits that can be transmitted per second. The received signal-to-noise ratio is the ratio of the power of the desired signal to the power of the noise. The error probability is the probability that a bit is received in error. The bandwidth requirement is the range of frequencies that are required to transmit the signal.

In general, we want to design a communication system with a high transmission rate, a high received signal-to-noise ratio, a low error probability, and a small bandwidth requirement. However, these parameters are often in conflict with each other. For example, increasing the transmission rate will typically require a higher bandwidth requirement.

In practice, we need to find a compromise between these parameters that meets the specific needs of the application. For example, if we are designing a communication system for a high-speed data link, we will want to maximize the transmission rate. However, if we are designing a communication system for a low-power sensor network, we will want to minimize the power consumption, which may require us to reduce the transmission rate.

Here is a brief explanation of each option:

  • 1. Transmission rate is the maximum number of bits that can be transmitted per second. A higher transmission rate means that more information can be transmitted in a given amount of time. However, a higher transmission rate also requires a higher bandwidth requirement.
  • 2. Received signal-to-noise ratio is the ratio of the power of the desired signal to the power of the noise. A higher received signal-to-noise ratio means that the signal is less likely to be corrupted by noise. However, a higher received signal-to-noise ratio also requires a higher power level.
  • 3. Error probability is the probability that a bit is received in error. A lower error probability means that the data is more likely to be received correctly. However, a lower error probability also requires a higher transmission rate and/or a higher received signal-to-noise ratio.
  • 4. Bandwidth requirement is the range of frequencies that are required to transmit the signal. A higher bandwidth requirement means that more frequencies are required, which can lead to increased interference and power consumption.

In conclusion, the correct answer is C. 1 and 3. We want to design a communication system with a high transmission rate and a low error probability. However, these parameters are often in conflict with each other. In practice, we need to find a compromise between these parameters that meets the specific needs of the application.

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