Imagine the near-far problem applied to an OMNIVALENTentity which can transmit itself through space and time…
“Consider a receiver and two transmitters, one close to the receiver, the other far away. If both transmitters transmit simultaneously and at equal powers, then due to the inverse square law the receiver will receive more power from the nearer transmitter. Since one transmission’s signal is the other’s noise the signal-to-noise ratio (SNR) for the farther transmitter is much lower. This makes the farther transmitter more difficult, if not impossible, to understand. If the nearer transmitter transmits a signal that is orders of magnitude higher than the farther transmitter then the SNR for the farther transmitter may be below detectability and the farther transmitter may just as well not transmit. This effectively jams the communication channel. In short, the near-far problem is one of detecting or filtering out a weaker signal amongst stronger signals.”

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2 Comments
http://en.wikipedia.org/wiki/Pseudorandom_noise
http://en.wikipedia.org/wiki/Spread_spectrum
http://en.wikipedia.org/wiki/Orthogonal_variable_spreading_factor
http://en.wikipedia.org/wiki/Weak_convergence_of_measures
http://en.wikipedia.org/wiki/Covariance_matrix