Claude Shannon's noisy channel coding theorem establishes the absolute fundamental upper bound on the rate at which error-free digital information can be transmitted over a communication channel perturbed by additive white Gaussian noise (AWGN). The channel capacity C depends strictly on the physical analog bandwidth B and the signal-to-noise power ratio (S/N). While transmission capacity scales linearly with available bandwidth, it increases only logarithmically with transmit power.