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Communications

Shannon channel capacity

Highest error-free data rate through a noisy channel.

Ref
COM-04
Rev
v1
Field
Communications
Result
C [Mbit/s]

B is the channel bandwidth in MHz and SNR the signal-to-noise power ratio as a plain number, not in decibels (a ratio of 15 is 11.8 dB). C is the highest rate at which information can be sent with an error rate as low as desired, using ideal coding. The answer is in megabits per second.

Highest error-free data rate through a noisy channel. Extra bandwidth helps linearly; extra signal-to-noise ratio helps only logarithmically.

Calculator

Solve for
Mbit/s
MHz
0.011,000
0.11,000,000
  • SNR in decibels11.76 dB
  • Capacity if the SNR is doubled49.54 Mbit/s

What drives the result

Each variable is moved across its typical range while the others stay at the values above. The longest bar is the key driver.

Capacity (Mbit/s) current value 40 Mbit/s
BBandwidthKey driver
0.044,000
SNRSignal-to-noise ratio (linear)
1.38199
  • A 10 MHz channel at 11.8 dB SNR can carry at most 40 Mbit/s, which is 4 bits per hertz.
  • Bandwidth helps linearly but SNR helps only logarithmically, so a poor signal-to-noise ratio is better fixed by getting more bandwidth than by more power. In noise-limited channels widening the bandwidth also admits more noise, which cuts the gain.
Chart data as tables

Ranked variables

VariableTypical rangeLowest resultHighest resultSwing (Mbit/s)Local stepChange in result
B Bandwidth0.01 to 1,000 MHz0.044,0004,000+10%+10 %
SNR Signal-to-noise ratio (linear)0.1 to 1,000,000 1.375199.3197.9+10%+3.23 %

Sweep of Signal-to-noise ratio (linear)

Signal-to-noise ratio (linear)Capacity (Mbit/s)
0.11.375
0.74998.073
5.62327.28
42.1754.32
316.283.09
2,371112.1
17,780141.2
133,400170.2
1,000,000199.3

Sweep one variable

Capacity (Mbit/s)Hover, touch, or use the arrow keys on the chart
050100150200 0.1101000100k Signal-to-noise ratio (linear), log scale now 40

Variables and how each one contributes

C

Capacity

Result · Mbit/s

What the equation gives you. Everything else feeds it.

B

Bandwidth

MHz · typical 0.01 to 1,000

The bandwidth of the channel, in MHz. Directly proportional at a fixed SNR: doubling the bandwidth doubles the capacity.

SNR

Signal-to-noise ratio (linear)

· typical 0.1 to 1,000,000

The ratio of signal power to noise power (not in dB). Logarithmic: at the default, doubling the SNR adds only about 24 % (9.5 Mbit/s), because each extra bit per hertz needs the SNR to double again.

Worked example with the values above

  1. Add one: 1 + SNR = 1 + 15 = 16.
  2. Logarithm to base 2: log₂(16) = 4 bits per hertz.
  3. C = 10 × 4 = 40 Mbit/s.

Assumptions and limits

  • An additive white Gaussian noise channel with a fixed bandwidth and SNR.
  • Ideal coding of unlimited complexity and delay.

Common mistakes

  • Entering the SNR in dB, which gives a nonsense answer.
  • Treating the capacity as the rate a practical modem will reach.

Statistics and uncertainty

C ∝ B log₂(1 + SNR), so a 10 % error in SNR gives about a 2.4 % error in C at SNR = 15, while a 10 % error in bandwidth gives 10 %. The figure is a hard upper limit; practical codes reach within 1 to 3 dB of it, so a real system delivers somewhat less.

Where it is used

  • Setting the data rate limits of radio and satellite links.
  • Judging how much bandwidth is needed for a target data rate at a given SNR.

Maths you need

  • Logarithms to base 2: log₂ x = ln x/ln 2
  • Decibels: converting dB to a ratio

Related formulas

Practise this formula