DocumentCode
1754666
Title
Comparisons of Two Real-Valued MIMO Signal Models and Their Associated ZF-SIC Detectors over the Rayleigh Fading Channel
Author
Tsung-Hsien Liu
Author_Institution
Dept. of Commun. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
Volume
12
Issue
12
fYear
2013
fDate
41609
Firstpage
6054
Lastpage
6066
Abstract
Two real MIMO models, the new lattice representation and the conventional real model, have been proposed in literature as equivalent models to the same complex MIMO model. To learn which one shares more information with the complex model, we show in this paper that the matrices produced by singular value decomposition and QR-decomposition of the complex and new real channel matrices for the complex and new real models, respectively, are fully related. Also, the new real zero-forcing successive interference cancellation (ZF-SIC) detector is shown to find the same solution as the complex ZF-SIC detector. Comparisons of the two real ZF-SIC detectors based on the two real models are therefore equivalent to the comparisons of the complex and conventional real ZF-SIC detectors. Plenty comparisons of the two real ZF-SIC detectors over the Rayleigh fading channel are reported, including the average joint error probability at finite signal-to-noise ratio (SNR), outage probability at different layers, average error probability at high SNR, and the scenario with optimal transmit power allocation. These comparisons provide much understanding about the complex and two real models as well as their associated detectors.
Keywords
MIMO communication; Rayleigh channels; error statistics; interference suppression; signal detection; signal representation; singular value decomposition; QR-decomposition; Rayleigh fading channel; SNR; ZF-SIC detectors; average joint error probability; channel matrices; finite signal-to-noise ratio; lattice representation; optimal transmit power allocation; outage probability; real-valued MIMO signal models; singular value decomposition; zero-forcing successive interference cancellation detector; Computational modeling; Detectors; Fading; Lattices; MIMO; Signal to noise ratio; Vectors; Multiple input multiple output (MIMO) system; spatially multiplexed MIMO system; zero-forcing successive interference cancellation (ZF-SIC) detection;
fLanguage
English
Journal_Title
Wireless Communications, IEEE Transactions on
Publisher
ieee
ISSN
1536-1276
Type
jour
DOI
10.1109/TW.2013.103113.121600
Filename
6661317
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