Energy-constrained modulation optimization

Shuguang Cui; Andrea J. Goldsmith; Ahmad Bahai

doi:10.1109/TWC.2005.853882

Energy-constrained modulation optimization

Shuguang Cui
, Andrea J. Goldsmith
, Ahmad Bahai

Research output: Contribution to journal › Article › peer-review

1322 Scopus citations

Abstract

Wireless systems where the nodes operate on batteries so that energy consumption must be minimized while satisfying given throughput and delay requirements are considered. In this context, the best modulation strategy to minimize the total energy consumption required to send a given number of bits is analyzed. The total energy consumption includes both the transmission energy and the circuit energy consumption. For uncoded systems, by optimizing the transmission time and the modulation parameters, it is shown that up to 80% energy savings is achievable over nonoptimized systems. For coded systems, it is shown that the benefit of coding varies with the transmission distance and the underlying modulation schemes.

Original language	English (US)
Pages (from-to)	2349-2360
Number of pages	12
Journal	IEEE Transactions on Wireless Communications
Volume	4
Issue number	5
DOIs	https://doi.org/10.1109/TWC.2005.853882
State	Published - Sep 2005
Externally published	Yes

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Keywords

Energy efficiency
Minimum frequency-shift keying (MFSK)
Modulation optimization
Multilevel quadrature amplitude modulation (MQAM)

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10.1109/TWC.2005.853882

Cite this

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title = "Energy-constrained modulation optimization",

abstract = "Wireless systems where the nodes operate on batteries so that energy consumption must be minimized while satisfying given throughput and delay requirements are considered. In this context, the best modulation strategy to minimize the total energy consumption required to send a given number of bits is analyzed. The total energy consumption includes both the transmission energy and the circuit energy consumption. For uncoded systems, by optimizing the transmission time and the modulation parameters, it is shown that up to 80\% energy savings is achievable over nonoptimized systems. For coded systems, it is shown that the benefit of coding varies with the transmission distance and the underlying modulation schemes.",

keywords = "Energy efficiency, Minimum frequency-shift keying (MFSK), Modulation optimization, Multilevel quadrature amplitude modulation (MQAM)",

author = "Shuguang Cui and Goldsmith, \{Andrea J.\} and Ahmad Bahai",

note = "Funding Information: Manuscript received July 28, 2003; revised March 5, 2004; accepted July 7, 2004. The editor coordinating the review of this paper and approving it for publication is S. Sarkar. This work was supported by the National Semiconductor Corporation, by the Alfred P. Sloan Foundation, and by the U.S. Army under MURI Award W911NF-05-1-0246. Funding Information: Dr. Cui is the winner of the National Science and Engineering Research Council of Canada (NSERC) graduate fellowship and the Canadian Wireless Telecommunications Association (CWTA) graduate scholarship.",

year = "2005",

month = sep,

doi = "10.1109/TWC.2005.853882",

language = "English (US)",

volume = "4",

pages = "2349--2360",

journal = "IEEE Transactions on Wireless Communications",

issn = "1536-1276",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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AU - Cui, Shuguang

AU - Goldsmith, Andrea J.

AU - Bahai, Ahmad

N1 - Funding Information: Manuscript received July 28, 2003; revised March 5, 2004; accepted July 7, 2004. The editor coordinating the review of this paper and approving it for publication is S. Sarkar. This work was supported by the National Semiconductor Corporation, by the Alfred P. Sloan Foundation, and by the U.S. Army under MURI Award W911NF-05-1-0246. Funding Information: Dr. Cui is the winner of the National Science and Engineering Research Council of Canada (NSERC) graduate fellowship and the Canadian Wireless Telecommunications Association (CWTA) graduate scholarship.

PY - 2005/9

Y1 - 2005/9

N2 - Wireless systems where the nodes operate on batteries so that energy consumption must be minimized while satisfying given throughput and delay requirements are considered. In this context, the best modulation strategy to minimize the total energy consumption required to send a given number of bits is analyzed. The total energy consumption includes both the transmission energy and the circuit energy consumption. For uncoded systems, by optimizing the transmission time and the modulation parameters, it is shown that up to 80% energy savings is achievable over nonoptimized systems. For coded systems, it is shown that the benefit of coding varies with the transmission distance and the underlying modulation schemes.

AB - Wireless systems where the nodes operate on batteries so that energy consumption must be minimized while satisfying given throughput and delay requirements are considered. In this context, the best modulation strategy to minimize the total energy consumption required to send a given number of bits is analyzed. The total energy consumption includes both the transmission energy and the circuit energy consumption. For uncoded systems, by optimizing the transmission time and the modulation parameters, it is shown that up to 80% energy savings is achievable over nonoptimized systems. For coded systems, it is shown that the benefit of coding varies with the transmission distance and the underlying modulation schemes.

KW - Energy efficiency

KW - Minimum frequency-shift keying (MFSK)

KW - Modulation optimization

KW - Multilevel quadrature amplitude modulation (MQAM)

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DO - 10.1109/TWC.2005.853882

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EP - 2360

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

IS - 5

ER -

Energy-constrained modulation optimization

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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