DocumentCode :
6920
Title :
At Low SNR, Asymmetric Quantizers are Better
Author :
Koch, Thorsten ; Lapidoth, Amos
Author_Institution :
Dept. of Eng., Univ. of Cambridge, Cambridge, UK
Volume :
59
Issue :
9
fYear :
2013
fDate :
Sept. 2013
Firstpage :
5421
Lastpage :
5445
Abstract :
We study the capacity of the discrete-time Gaussian channel when its output is quantized with a 1-bit quantizer. We focus on the low signal-to-noise ratio (SNR) regime, where communication at very low spectral efficiencies takes place. In this regime, a symmetric threshold quantizer is known to reduce channel capacity by a factor of 2/π, i.e., to cause an asymptotic power loss of approximately 2 dB. Here, it is shown that this power loss can be avoided by using asymmetric threshold quantizers and asymmetric signaling constellations. To avoid this power loss, flash-signaling input distributions are essential. Consequently, 1-bit output quantization of the Gaussian channel reduces spectral efficiency. Threshold quantizers are not only asymptotically optimal: at every fixed SNR, a threshold quantizer maximizes capacity among all 1-bit output quantizers. The picture changes on the Rayleigh-fading channel. In the noncoherent case, a 1-bit output quantizer causes an unavoidable low-SNR asymptotic power loss. In the coherent case, however, this power loss is avoidable provided that we allow the quantizer to depend on the fading level.
Keywords :
Gaussian channels; Rayleigh channels; channel capacity; quantisation (signal); 1-bit quantizer; Rayleigh-fading channel; SNR; asymmetric signaling constellation; asymmetric threshold quantizers; asymptotic power loss; channel capacity; discrete-time Gaussian channel; flash-signaling input distribution; signal-to-noise ratio; spectral efficiency; Ash; Channel capacity; Constellation diagram; Decoding; Quantization (signal); Rayleigh channels; Signal to noise ratio; Capacity per unit energy; Gaussian channel; channel capacity; low signal-to-noise ratio (SNR); quantization;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2013.2262919
Filename :
6545291
Link To Document :
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