Title :
On the dither-quantized Gaussian channel at low SNR
Author_Institution :
Univ. Carlos III de Madrid, Leganés, Spain
fDate :
June 29 2014-July 4 2014
Abstract :
We study the capacity of the peak-and-average-power-limited Gaussian channel when its output is quantized using a dithered, infinite-level, uniform quantizer of step size Δ. We focus on the low signal-to-noise-ratio (SNR) regime, where communication at low spectral efficiencies takes place. We show that, when the peak-power constraint is absent, the low-SNR asymptotic capacity is equal to that of the unquantized channel irrespective of Δ. We further derive an expression for the low-SNR asymptotic capacity for finite peak-to-average-power ratios and evaluate it in the low- and high-resolution limit. We demonstrate that, in this case, the low-SNR asymptotic capacity converges to that of the unquantized channel when Δ tends to zero, and it tends to zero when Δ tends to infinity.
Keywords :
Gaussian channels; dither quantized Gaussian channel; low signal-to-noise-ratio; low-SNR asymptotic capacity; peak power constraint; peak-and-average-power-limited Gaussian channel; Additive noise; Channel capacity; Entropy; Quantization (signal); Signal to noise ratio;
Conference_Titel :
Information Theory (ISIT), 2014 IEEE International Symposium on
Conference_Location :
Honolulu, HI
DOI :
10.1109/ISIT.2014.6874820