A New Spatial-Temporal Correlation Model for MIMO Channel

Author

Zhao, Bing-jie ; Huang, Tian-shu ; Sun, Fu-xiong ; Wu, Shao-yong ; Du, Guang-Yu

Author_Institution

Sch. of Electron. Inf., Wuhan Univ.

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

534

Lastpage

538

Abstract

Current researches on multiple-input multiple-output (MIMO) channel treat it as a kind of Gaussian channel. Without considering the spatial-temporal correlation, considerable deviation exists in output. This paper presents a novel spatial-temporal correlation model (STCM) for MIMO channel modeling. We adopt a correlation matrix to model the spatial correlation at the base and use wave superposition to capture the spatial-temporal correlations at the mobile. Result of simulation shows that the H matrices can construct directly with accurate parameter correlation statistics and spatial-temporal channel correlation may be attained. STCM model minimizes the deviation of conventional model in virtue of the comprehensive consideration of spatial-temporal correlation

Keywords

Gaussian channels; MIMO systems; correlation methods; fading channels; matrix algebra; statistical analysis; wireless channels; Gaussian channel; H matrix; correlation matrix; multiple-input multiple-output channel; parameter correlation statistics; spatial-temporal correlation model; wave superposition; wireless channel; Cybernetics; Diffraction; Economic forecasting; Fading; Frequency; Gaussian channels; Large-scale systems; MIMO; Machine learning; Radio transmitters; Scattering; Statistics; Sun; Wire; Channel model; MIMO; Spatial-temporal correlation; Wireless channel;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258330

Filename

4028122