A very important consideration in data communications is how fast we can send data, in bits per second, over a channel. Data rate depends on three factors:
For a noiseless channel, the Nyquist bit rate formula defines the theoretical maximum bit rate:
- The bandwidth available
- The level of the signals we use
- The quality of the channel (the level of noise)
- Noiseless Channel: Nyquist Bit Rate
- Noisy Channel: Shannon Capacity
- Using Both Limits
For a noiseless channel, the Nyquist bit rate formula defines the theoretical maximum bit rate:
BitRate=2×Bandwidth×log2L
Where, bandwidth is the bandwidth of the channel, L is the number of signal levels used to represent data, and BitRate is the bit rate in bits per second.
Note:
Increasing the levels of a signal may reduce the reliability of the system.
Note:
Increasing the levels of a signal may reduce the reliability of the system.
Noisy Channel-Shannon Capacity
In reality, we cannot have a noiseless channel; the channel is always noisy.
In 1944,Claude Shannon introduced a formula, called the Shannon capacity, to determine the theoretical highest data rate for a noisy channel:
Capacity=Bandwidth×log2(1+SNR)
Where, bandwidth is the bandwidth of the channel,SNR is the signal-to-noise ratio, and capacity is the capacity of the channel in bits per second.
Note:
The Shannon capacity gives us the upper limit; the Nyquist formula tells us how many signal levels we need.
The Shannon capacity gives us the upper limit; the Nyquist formula tells us how many signal levels we need.
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