On the low-SNR capacity of phase-shift keying with hard-decision detection

Mustafa Cenk Gursoy

doi:10.1109/ISIT.2007.4557221

On the low-SNR capacity of phase-shift keying with hard-decision detection

Mustafa Cenk Gursoy

Research output: Chapter in Book/Entry/Poem › Conference contribution

6 Scopus citations

Abstract

The low-SNR capacity of M-ary PSK transmission over both the additive white Gaussian noise (AWGN) and fading channels is analyzed when hard-decision detection is employed at the receiver. Closed-form expressions for the first and second derivatives of the capacity at zero SNR are obtained. The spectral-efficiency/bit-energy tradeoff in the low-SNR regime is analyzed by finding the wideband slope and the bit energy required at zero spectral efficiency. Practical design guidelines are drawn from the information-theoretic analysis. The fading channel analysis is conducted for both coherent and noncoherent cases, and the performance penalty in the low-power regime for not knowing the channel is identified.

Original language	English (US)
Title of host publication	Proceedings - 2007 IEEE International Symposium on Information Theory, ISIT 2007
Pages	166-170
Number of pages	5
DOIs	https://doi.org/10.1109/ISIT.2007.4557221
State	Published - 2007
Externally published	Yes
Event	2007 IEEE International Symposium on Information Theory, ISIT 2007 - Nice, France Duration: Jun 24 2007 → Jun 29 2007

Publication series

Name	IEEE International Symposium on Information Theory - Proceedings
ISSN (Print)	2157-8101

Other

Other	2007 IEEE International Symposium on Information Theory, ISIT 2007
Country/Territory	France
City	Nice
Period	6/24/07 → 6/29/07

ASJC Scopus subject areas

Theoretical Computer Science
Information Systems
Modeling and Simulation
Applied Mathematics

Access to Document

10.1109/ISIT.2007.4557221

Cite this

Gursoy, MC 2007, On the low-SNR capacity of phase-shift keying with hard-decision detection. in Proceedings - 2007 IEEE International Symposium on Information Theory, ISIT 2007., 4557221, IEEE International Symposium on Information Theory - Proceedings, pp. 166-170, 2007 IEEE International Symposium on Information Theory, ISIT 2007, Nice, France, 6/24/07. https://doi.org/10.1109/ISIT.2007.4557221

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abstract = "The low-SNR capacity of M-ary PSK transmission over both the additive white Gaussian noise (AWGN) and fading channels is analyzed when hard-decision detection is employed at the receiver. Closed-form expressions for the first and second derivatives of the capacity at zero SNR are obtained. The spectral-efficiency/bit-energy tradeoff in the low-SNR regime is analyzed by finding the wideband slope and the bit energy required at zero spectral efficiency. Practical design guidelines are drawn from the information-theoretic analysis. The fading channel analysis is conducted for both coherent and noncoherent cases, and the performance penalty in the low-power regime for not knowing the channel is identified.",

author = "Gursoy, {Mustafa Cenk}",

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doi = "10.1109/ISIT.2007.4557221",

language = "English (US)",

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series = "IEEE International Symposium on Information Theory - Proceedings",

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AB - The low-SNR capacity of M-ary PSK transmission over both the additive white Gaussian noise (AWGN) and fading channels is analyzed when hard-decision detection is employed at the receiver. Closed-form expressions for the first and second derivatives of the capacity at zero SNR are obtained. The spectral-efficiency/bit-energy tradeoff in the low-SNR regime is analyzed by finding the wideband slope and the bit energy required at zero spectral efficiency. Practical design guidelines are drawn from the information-theoretic analysis. The fading channel analysis is conducted for both coherent and noncoherent cases, and the performance penalty in the low-power regime for not knowing the channel is identified.

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T3 - IEEE International Symposium on Information Theory - Proceedings

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BT - Proceedings - 2007 IEEE International Symposium on Information Theory, ISIT 2007

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ER -

On the low-SNR capacity of phase-shift keying with hard-decision detection

Abstract

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