DocumentCode :
456032
Title :
Design Criteria of MIMO Systems
Author :
Suzuki, Hajime ; Hedley, Mark ; Daniels, Graham
Author_Institution :
CSIRO ICT Centre, Sydney, NSW
Volume :
4
fYear :
2006
fDate :
7-10 May 2006
Firstpage :
1840
Lastpage :
1843
Abstract :
In this paper, the uncoded symbol error rate (SER) versus signal to noise ratio (SNR) curves of M-ary quadrature amplitude modulation (M-QAM) multiple-input multiple-output (MIMO) systems using zero-forcing (ZF) or maximum likelihood (ML) detection employing various numbers of antennas are given analytically and empirically. Using the given formulas, the designer of a MIMO system can easily analyse the tradeoff between using ZF or MLD, where ZF is computationally efficient but requires more receivers to achieve the same performance as MLD. An example is given, showing that, for an uncoded MIMO system using QPSK, 16QAM, or 64QAM, to achieve the same or better performance as MLD using 2, 3, and 4 antennas at each end, ZF requires at least 3, 5, and 7 receivers, respectively, at a specified average SER of 10-3
Keywords :
MIMO systems; maximum likelihood detection; quadrature amplitude modulation; quadrature phase shift keying; M-QAM; M-ary quadrature amplitude modulation; MIMO systems; QPSK; SNR; maximum likelihood detection; multiple-input multiple-output; signal to noise ratio; uncoded symbol error rate; zero-forcing; Computational complexity; Costs; Error analysis; Hardware; MIMO; Maximum likelihood detection; Quadrature phase shift keying; Rayleigh channels; Signal to noise ratio; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2006. VTC 2006-Spring. IEEE 63rd
Conference_Location :
Melbourne, Vic.
ISSN :
1550-2252
Print_ISBN :
0-7803-9391-0
Electronic_ISBN :
1550-2252
Type :
conf
DOI :
10.1109/VETECS.2006.1683165
Filename :
1683165
Link To Document :
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