Howtosignalprocessing
Shannon's formula C = 12log(1+P/N) is the emblematic expression for the information capacity of a communication channel.
- What is Shannon theorem for channel capacity?
- What is the formula to find the Shannon capacity?
- How is channel capacity measured?
- What is the maximum channel capacity given by Shannon's limit?
What is Shannon theorem for channel capacity?
The Shannon capacity theorem defines the maximum amount of information, or data capacity, which can be sent over any channel or medium (wireless, coax, twister pair, fiber etc.). What this says is that higher the signal-to-noise (SNR) ratio and more the channel bandwidth, the higher the possible data rate.
What is the formula to find the Shannon capacity?
channel bandw idth B and transmit pow er P. The channel SNR, the pow er in x[i] divided by the pow er in n[i], is constant and given by = P/(N0B), w here N0 is the pow er spectral density of the noise.
How is channel capacity measured?
C = S η log2 e = 1.44 S η . This gives the maximum information transmission rate possible for a system of given power but no bandwidth limitations.
What is the maximum channel capacity given by Shannon's limit?
Considering the Shannon limit around 6bit/s/Hz (or 0.75Tbit/s/nm) and the maximum 80nm bandwidth (achievable by C+L or Raman amplification) of a system, the achievable capacity over a transatlantic submarine cable will be around 60Tbit/s per fiber pair, that is not exceeding three times the state of the art technology ...
