DocumentCode
1983401
Title
How many RF chains are optimal for large-scale MIMO systems when circuit power is considered?
Author
Yiyang Pei ; The-Hanh Pham ; Ying-Chang Liang
Author_Institution
Inst. for Infocomm Res., Singapore, Singapore
fYear
2012
fDate
3-7 Dec. 2012
Firstpage
3868
Lastpage
3873
Abstract
Multiple antennas at the transmitter and the receiver can increase the channel capacity significantly. However, this is at the expense of linearly increasing circuit power consumption due to the use of multiple radio frequency (RF) chains to support the antennas, which is quite significant for large-scale MIMO systems but is largely ignored in the literature. Hence, in this paper, we assess the performance of a point-to-point large-scale MIMO channel considering the overall power consumption on both the transmitter and the receiver, and study the optimal RF chain configurations to maximize the transmission rate under such a total power constraint. Both configurations with and without the channel state information (CSI) of the channel matrix are considered. While the former requires the design of optimal selection of RF chains, the latter only needs to determine the optimal number of RF chains. We find through numerical results that the gain of configuration with CSI over that without CSI diminishes as the dimension of the channel gets large. We also provide guidelines for selecting the optimal number RF chains for configuration without CSI. In particular, for MISO case, we find that it is near-optimal to choose half of the maximum number of transmit RF chains, the circuits of which are affordable to be powered on by the total power budget.
Keywords
MIMO communication; channel capacity; matrix algebra; radio receivers; radio transmitters; wireless channels; CSI; MISO; RF chains; channel capacity; channel matrix; channel state information; circuit power consumption; large-scale MIMO channel systems; radio receiver; radio transmitter; radiofrequency chains;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location
Anaheim, CA
ISSN
1930-529X
Print_ISBN
978-1-4673-0920-2
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2012.6503720
Filename
6503720
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