Modeling of MIMO Time-Varying Channel

Hua Li; Jian Fang Shi; Juan Ping Wu; Run Fang Hao

doi:10.4028/www.scientific.net/AMM.241-244.2430

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 241-244Modeling of MIMO Time-Varying Channel

Modeling of MIMO Time-Varying Channel

Abstract:

Wireless communication environment is very complex, so it is difficult to modeling of MIMO channel. A MIMO channel model was brought forward which has frequency selectivity, and time correlation. Simulation shows this related channel capacity is consistent with theoretical channel capacity. So this model provides powerful implement for simulation of MIMO capability, analysis of system capacity and evaluation of performance.

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Periodical:

Applied Mechanics and Materials (Volumes 241-244)

Pages:

2430-2433

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.241-244.2430

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Online since:

December 2012

Authors:

Hua Li, Jian Fang Shi, Juan Ping Wu, Run Fang Hao

Keywords:

Channel Model, Frequency Selectivity, MIMO, Time Correlation

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References

[1] S.K. Sharma. Characterization and modeling of MIMO wireless channels based on correlation tensor. Computers and Mathematics with Applications, 64 (2012) 89-101.

DOI: 10.1016/j.camwa.2012.01.017

Google Scholar

[2] Ghais El Zein, et al. Characterization, modeling and simulation of the MIMO propagation channel[J]. Comptes Rendus Physique, 11 (2010) 7-17.

DOI: 10.1016/j.crhy.2009.11.003

Google Scholar

[3] Patrice Pajusco. Propagation channel models for mobile communication. Comptes Rendus Physique 7 (2006) 703-714.

DOI: 10.1016/j.crhy.2006.07.002

Google Scholar

[4] Hui Xiao, Alister G. Burr. Reduced-complexity cluster modeling for time-variant wideband MIMO channels. Physical Communication 1 (2008) 221-228.

DOI: 10.1016/j.phycom.2008.07.002

Google Scholar

[5] N. Costa, S. Haykin. Multiple Input Multiple Output Channel Models: Theory and Practice, in: Adaptive and Learining Systems for Signal Processing, Communication and Control Series, Published by John Wiley, (2010).

DOI: 10.1002/9780470590676

Google Scholar

[6] F. Fontan, I. Lago, R. Cerdeira, A. Alamanac. Consolidation of a multi-state narrowband land mobile satellite channel model, in: Antennas and Propagation, 2007. EuCAP 2007. The Second European Conference on, 2007, 1-6.

DOI: 10.1049/ic.2007.1425

Google Scholar

[7] P. Burzigotti, R. Prieto-Cerdeira, A. Bolea-Alamanac, F. Perez-Fontan, I. Sanchez-Lago. DVB-SH analysis using a multi-state land mobile satellite channel model, in: Advanced Satellite Mobile Systems, 2008. ASMS 2008. 4th, 2008, 149-155.

DOI: 10.1109/asms.2008.33

Google Scholar