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