«Information-Friction» and its implications on minimum energy required for communication

Por • 10 ene, 2014 • Sección: Ambiente

Pulkit Grover

Abstract: Just as there are frictional losses associated with moving masses on a surface, what if there were frictional losses associated with moving information on a substrate? Indeed, many methods of communication suffer from such frictional losses. We propose to model these losses as proportional to «bit-meters,» i.e., the product of mass of information (i.e., the number of bits) and the distance of information transport. We use this «information-friction» model to understand fundamental energy requirements on encoding and decoding in communication circuitry. First, for communication across a binary input AWGN channel, we arrive at limits on bit-meters (and thus energy consumption) for decoding implementations that have a predetermined input-independent lengths of messages. For encoding, we relax the fixed-length assumption and derive bounds for flexible-message-length implementations. Using these lower bounds we show that the total (transmit + encoding + decoding) energy-per-bit must diverge to infinity as the target error probability is lowered. Further, the closer the communication rate is maintained to the channel capacity (as the target error-probability is lowered to zero), the faster the required decoding energy diverges to infinity.

arXiv:1401.1059v1 [cs.IT]

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