DocumentCode :
626682
Title :
An energy efficient antenna selection for large scale green MIMO systems
Author :
Byung Moo Lee ; Jinhyeock Choi ; Jongho Bang ; Byung-Chang Kang
Author_Institution :
Samsung Adv. Inst. of Technol. (SAIT), Samsung Electron., Yongin, South Korea
fYear :
2013
fDate :
19-23 May 2013
Firstpage :
950
Lastpage :
953
Abstract :
This paper proposes an energy efficient antenna selection for large scale (LS) MIMO in green base station (BS). For the maximum energy efficiency (EE) operation of LS-MIMO, antenna selection is necessary, because the RF chains which are connected with antennas are expensive, and consumes a lot of power. However, the excessive amount of antennas in LS-MIMO hinder the efficient antenna selection. We determine optimum antenna number in various circumstances, and show that with LS-MIMO, simple random antenna selection can provide significant EE gain. Moreover, we also show if the EE optimum number of antenna is larger than a certain threshold, the random antenna selection is already very close to the optimum antenna selection. The proposed technique is verified by both mathematical analysis and numerical simulations.
Keywords :
MIMO communication; antenna arrays; numerical analysis; LS green MIMO systems; RF chains; energy efficient antenna selection; green base station; large scale green MIMO systems; mathematical analysis; numerical simulations; optimum antenna selection; random antenna selection; Antennas; Green products; MIMO; Optimized production technology; Power demand; Radio frequency; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
Conference_Location :
Beijing
ISSN :
0271-4302
Print_ISBN :
978-1-4673-5760-9
Type :
conf
DOI :
10.1109/ISCAS.2013.6572005
Filename :
6572005
Link To Document :
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