DocumentCode
54407
Title
Energy Efficiency and Spectral Efficiency Tradeoff in Type-I ARQ Systems
Author
Jingxian Wu ; Gang Wang ; Zheng, Y.R.
Author_Institution
Dept. of Electr. Eng., Univ. of Arkansas, Fayetteville, AR, USA
Volume
32
Issue
2
fYear
2014
fDate
Feb-14
Firstpage
356
Lastpage
366
Abstract
The optimum energy efficient and spectral efficient designs for type-I automatic-repeat-request (ARQ) systems in Rayleigh flat fading channels are studied in this paper. Three optimum designs are considered: the first scheme maximizes the energy efficiency (EE), or equivalently, minimizes the total energy per information bit without considering the spectral efficiency (SE); the second scheme minimizes a new metric, the energy per information bit normalized by the SE; and the third scheme maximizes the EE under the constraint of a minimum SE. For given physical and link layer parameters, such as hardware power consumption, coding rate, modulation, bit rate, number of overhead bits, and communication distance, the three schemes are optimized with respect to the average transmission energy and the number of information bits per frame. The fundamental EE-SE tradeoff curve is analytically identified via the optimization of the third scheme, and it is shown that the optimum EE is quansiconcave in SE in a type-I ARQ system. The optimum solutions to the first two schemes are special operating points on the EE-SE tradeoff curve. Computer simulation results verify the analytical solutions.
Keywords
Rayleigh channels; automatic repeat request; telecommunication power management; Rayleigh flat fading channels; automatic-repeat-request systems; computer simulation; energy efficiency; link layer parameters; physical layer parameters; power consumption; spectral efficiency; type-I ARQ systems; Approximation methods; Automatic repeat request; Fading; Modulation; Optimization; Receivers; Transmitters; ARQ; Cross-layer design; energy efficiency; green communications; spectral efficiency;
fLanguage
English
Journal_Title
Selected Areas in Communications, IEEE Journal on
Publisher
ieee
ISSN
0733-8716
Type
jour
DOI
10.1109/JSAC.2014.141215
Filename
6514951
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