Title :
Minimum Energy to Send
Bits Through the Gaussian Channel With and Without Feedback
Author :
Polyanskiy, Yury ; Poor, H. Vincent ; Verdú, Sergio
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
Abstract :
The minimum achievable energy per bit over memoryless Gaussian channels has been previously addressed in the limit when the number of information bits goes to infinity, in which case it is known that the availability of noiseless feedback does not lower the minimum energy per bit, which is -1.59 dB below the noise level. This paper analyzes the behavior of the minimum energy per bit for memoryless Gaussian channels as a function of k, the number of information bits. It is demonstrated that in this nonasymptotic regime, noiseless feedback leads to significantly better energy efficiency. In particular, without feedback achieving energy per bit of -1.57 dB requires coding over at least k=106 information bits, while we construct a feedback scheme that transmits a single information bit with energy -1.59 dB and zero error. We also show that unless k is very small, approaching the minimal energy per bit does not require using the feedback link except to signal that transmission should stop.
Keywords :
Gaussian channels; channel capacity; feedback; energy efficiency; information bit; memoryless Gaussian channel; noiseless feedback; nonasymptotic regime; AWGN channels; Context; Decoding; Encoding; Error probability; Fading; Taylor series; Brownian motion; Gaussian channels; Shannon theory; channel capacity; feedback; minimum energy per bit; nonasymptotic analysis; stop-feedback;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2011.2159041