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
Link To Document :
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