DocumentCode
269336
Title
An Energy-Efficient Framework for the Analysis of MIMO Slow Fading Channels
Author
Varma, Vineeth S. ; Lasaulce, Samson ; Debbah, MeÌrouane ; Elayoubi, Salah Eddine
Author_Institution
Orange Labs., Issy Les Moulineaux, France
Volume
61
Issue
10
fYear
2013
fDate
15-May-13
Firstpage
2647
Lastpage
2659
Abstract
In this paper, a new energy-efficiency performance metric is proposed for multiple-input multiple-output (MIMO) point-to-point systems. In contrast with related works on energy-efficiency, this metric translates the effects of using finite blocks for transmitting, using channel estimates at the transmitter and receiver, and considering the total power consumed by the transmitter instead of the radiated power only. The main objective pursued is to choose the best precoding matrix used at the transmitter in the following two scenarios : 1) the one where imperfect channel state information (CSI) is available at the transmitter and receiver and 2) the one where no CSI is available at the transmitter. In both scenarios, the problem of optimally tuning the total used power is shown to be nontrivial. In scenario 2), the optimal fraction of training time can be characterized by a simple equation. These results and others provided in the paper, along with the provided numerical analysis, show that the present work can therefore be used as a good basis for studying power control and resource allocation in energy-efficient multiuser networks.
Keywords
MIMO communication; channel estimation; fading channels; matrix algebra; radio links; CSI; MIMO slow fading channel; channel state information; energy-efficiency performance metric; energy-efficient multiuser network; finite block; multiple-input multiple-output system; point-to-point system; power control; precoding matrix; resource allocation; Covariance matrix; MIMO; Measurement; Radio transmitters; Receivers; Signal processing; Channel training; MIMO; energy efficiency; finite block length; green communication; imperfect channel state information;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2013.2252170
Filename
6477162
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