EESM Based Link Error Prediction for Adaptive MIMO-OFDM System

Author

Liu, Hao ; Cai, Liyu ; Yang, Hongwei ; Li, Dong

Author_Institution

Res. & Innovation, Alcatel Shanghai Bell

fYear

2007

fDate

22-25 April 2007

Firstpage

559

Lastpage

563

Abstract

Exponential effective SNR mapping (EESM) based link error prediction is widely used for adaptive MIMO-OFDM in system evaluations to simplify simulation complexity. In MIMO system, EESM prediction method is more sophisticated due to specific MIMO detection techniques and spatial selectivity of multiple antennas. Especially for maximum likelihood (ML) detection it is hard to determine post-detected SNR due to non-linearity of ML detection, so penalty method based on MMSE detection has been proposed for EESM mapping. Simulations show EESM based effective SNR for ML receiver has obtained high fitting precision compared with AWGN performance in QPSK or 16QAM modulation, convolution coding with rate 1/2 in 2 times 2 MIMO-OFDM system. This method can be naturally generalized into other modulation and coding rates, higher level of MIMO modes, and other fading channels with frequency selectivity, time selectivity or spatial selectivity.

Keywords

MIMO communication; OFDM modulation; antenna arrays; convolutional codes; fading channels; least mean squares methods; maximum likelihood detection; quadrature amplitude modulation; quadrature phase shift keying; EESM; MMSE detection; QAM modulation; QPSK; adaptive MIMO-OFDM system; convolution coding; exponential effective SNR mapping; fading channels; frequency selectivity; link error prediction; maximum likelihood detection; multiple antennas; spatial selectivity; time selectivity; AWGN; Adaptive systems; Convolution; Fading; MIMO; Maximum likelihood detection; Modulation coding; Prediction methods; Predictive models; Quadrature phase shift keying;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2007. VTC2007-Spring. IEEE 65th

Conference_Location

Dublin

ISSN

1550-2252

Print_ISBN

1-4244-0266-2

Type

conf

DOI

10.1109/VETECS.2007.126

Filename

4212554