DocumentCode :
1992878
Title :
Golden Coded Multiple Beamforming
Author :
Li, Boyu ; Ayanoglu, Ender
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Irvine, CA, USA
fYear :
2010
fDate :
6-10 Dec. 2010
Firstpage :
1
Lastpage :
5
Abstract :
The Golden Code is a full-rate full-diversity space-time code, which achieves maximum coding gain for Multiple-Input Multiple-Output (MIMO) systems with two transmit and two receive antennas. Since four information symbols taken from an M-QAM constellation are selected to construct one Golden Code codeword, a maximum likelihood decoder using sphere decoding has the worst-case complexity of O(M4), when the Channel State Information (CSI) is available at the receiver. Previously, this worst-case complexity was reduced to O(M2.5) without performance degradation. When the CSI is known by the transmitter as well as the receiver, beamforming techniques that employ singular value decomposition are commonly used in MIMO systems. In the absence of channel coding, when a single symbol is transmitted, these systems achieve the full diversity order provided by the channel. Whereas this property is lost when multiple symbols are simultaneously transmitted. However, uncoded multiple beamforming can achieve the full diversity order by adding a properly designed constellation precoder. For 2 × 2 Fully Precoded Multiple Beamforming (FPMB), the general worst-case decoding complexity is O(M). In this paper, Golden Coded Multiple Beamforming (GCMB) is proposed, which transmits the Golden Code through 2 × 2 multiple beamforming. GCMB achieves the full diversity order and its performance is similar to general MIMO systems using the Golden Code and FPMB, whereas the worst-case decoding complexity of O(√(M)) is much lower. The extension of GCMB to larger dimensions is also discussed.
Keywords :
Gold codes; MIMO communication; array signal processing; channel coding; maximum likelihood decoding; quadrature amplitude modulation; radio receivers; radio transmitters; singular value decomposition; space-time codes; CSI; M-QAM constellation; MIMO; beamforming techniques; channel coding; channel state information; diversity space-time code; golden code; maximum likelihood decoder; multiple input multiple output; receiver; singular value decomposition; transmitter; Array signal processing; Complexity theory; MIMO; Matrix decomposition; Maximum likelihood decoding; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
Conference_Location :
Miami, FL
ISSN :
1930-529X
Print_ISBN :
978-1-4244-5636-9
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2010.5683719
Filename :
5683719
Link To Document :
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