DocumentCode :
2807336
Title :
Quantifying information rate losses with zero-forcing and maximum-likelihood detectors
Author :
Xiao, Jiaxi ; Ma, Xiaoli ; McLaughlin, Steven W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
3342
Lastpage :
3345
Abstract :
MIMO systems have caught a lot of attentions mainly because of the boost of the information rate. However, so far the existing results only consider continuous signals at the receiver side. The effect of detectors on the mutual information has not been addressed. In this paper, we study the mutual information between the transmitted discrete signal and the quantized signal given by maximum-likelihood or zero-forcing detectors over MIMO channels. To differentiate from the mutual information without quantization step, we refer the one here as post-detection mutual information (PMI). The approximations for PMI with MLD or ZFD and the closed form of the PMI with ZFD are derived. We show that the reliable data rates that can be transmitted through the MIMO channels with MLD or ZFD is actually reduced by the presence of quantization. The approximations proposed in the paper match well with the simulation results in the mid to high SNR region.
Keywords :
MIMO communication; maximum likelihood detection; quantisation (signal); telecommunication channels; MIMO channels; MIMO systems; information rate losses; maximum-likelihood detectors; post-detection mutual information; quantized signal; transmitted discrete signal; zero-forcing detectors; Detectors; Equalizers; Information rates; MIMO; Maximum likelihood detection; Maximum likelihood estimation; Mutual information; Quadrature amplitude modulation; Quantization; Signal detection; MIMO channel; Post-detection mutual information; QAM constellation; maximum-likelihood detector; zero-forcing detector;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
ISSN :
1520-6149
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2010.5496010
Filename :
5496010
Link To Document :
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