DocumentCode
70963
Title
Energy-efficient power allocation for training-based multiple-input multiple-output system with and without feedback
Author
Li Chen ; Guo Wei
Author_Institution
Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, China
Volume
7
Issue
15
fYear
2013
fDate
Oct. 15 2013
Firstpage
1697
Lastpage
1707
Abstract
In this study, the authors discuss energy-efficient power allocation for training-based multiple-input multiple-output (MIMO) system with and without feedback. Firstly, they consider the non-feedback MIMO system, where data power is equally allocated to transmit antennas. With pilot power fixed, the energy efficiency (EE)-optimal data power is derived based on the pseudo-concavity of the EE expression. When data power and pilot power are both variable, a convergent alternating optimisation algorithm is proposed to obtain EE-suboptimal data power and pilot power. Then, they consider the feedback MIMO system where data power is water-filling allocated to transmit antennas. Although the effective transmit antennas number at this scenario is discrete, they propose an algorithm to calculate it and its corresponding EE-optimal data power with pilot power fixed. When data power and pilot power are both variable, a similar convergent alternating optimisation algorithm is given. The numerical results demonstrate the EE performance of the training-based MIMO system with and without feedback. The impacts of multi-antennas configuration, circuit power and block length are also shown and analysed.
Keywords
MIMO communication; antenna arrays; numerical analysis; optimisation; transmitting antennas; EE expression; EE-optimal data power; block length; circuit power; convergent alternating optimisation algorithm; energy efficiency-optimal data power; energy-efficient power allocation; multiantenna configuration; nonfeedback MIMO system; numerical analysis; pilot power; pseudo-concavity; training-based multiple-input multiple-output system; transmitting antennas; water-fllling;
fLanguage
English
Journal_Title
Communications, IET
Publisher
iet
ISSN
1751-8628
Type
jour
DOI
10.1049/iet-com.2013.0172
Filename
6648793
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