DocumentCode :
1569844
Title :
An approach for area- and power-efficient low-complexity implementation of multiple antenna transceivers
Author :
Huang, Everest ; Khuon, Lunal ; Sodini, Charles ; Wornell, Gregory
Author_Institution :
Dept. of EECS, Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear :
2006
Firstpage :
495
Lastpage :
498
Abstract :
In this paper, signal-to-noise ratio (SNR) gain is used to resolve the limits of circuit chip area and power consumption in multiple antenna systems. Multiple antennas promise greatly increased capacity, but increase chip area and power consumption due to multiple RF front ends and additional resources to process multiple streams. However, trading capacity for diversity gain decreases the SNR required for similar data rates as a single antenna system. For analog circuits, the SNR gain relaxes noise requirements, making viable both inductorless and reduced power consumption circuits. For example, simulations of a inductorless low noise amplifier (LNA) show a 3 dB increase in noise figure but threefold decrease in area when compared with a conventional narrowband LNA. Similarly, a narrowband LNA has a slightly higher noise figure when operated at half its original power consumption. For digital circuits, the lowered complexity of high diversity systems decreases the size and power consumption of the digital processor.
Keywords :
antenna arrays; computational complexity; diversity reception; low noise amplifiers; power consumption; transceivers; 3 dB; LNA; SNR; analog circuits; digital circuits; digital processor; diversity gain; low noise amplifier; multiple RF front ends; multiple antenna transceivers; power consumption reduction; signal-to-noise ratio; Analog circuits; Circuit noise; Diversity methods; Energy consumption; Narrowband; Noise figure; Radio frequency; Signal resolution; Signal to noise ratio; Transceivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radio and Wireless Symposium, 2006 IEEE
Print_ISBN :
0-7803-9412-7
Type :
conf
DOI :
10.1109/RWS.2006.1615202
Filename :
1615202
Link To Document :
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