An adaptive geometry-based stochastic model for non-isotropic MIMO mobile-to-mobile channels

In this paper, a generic and adaptive geometrybased stochastic model (GBSM) is proposed for non-isotropic multiple-input multiple-output (MIMO) mobile-to-mobile (M2M) Ricean fading channels. The proposed model employs a combined two-ring model and ellipse model, where the received signal is construc...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2009-09, Vol.8 (9), p.4824-4835
Main Authors: Xiang Cheng, Cheng-Xiang Wang, Laurenson, D.I., Salous, S., Vasilakos, A.V.
Format: Article
Language:English
Subjects:
Antennas and propagation
Applied sciences
Channels
Correlation
Density
Equipments and installations
Exact sciences and technology
Image processing
Intelligent transportation systems
Land mobile radio cellular systems
Mathematical models
MIMO
Mobile communication
Mobile radiocommunication systems
Mobile-to-mobile channels
non-isotropic scattering environments
Radiocommunications
Scattering
Signal processing
Solid modeling
space-Doppler-frequency power spectrum density
space-time-frequency correlation function
Spectra
Stochastic models
Stochastic processes
Stochasticity
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Teletraffic
Transmission and modulation (techniques and equipments)
Utilities
Wireless communication
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Summary:In this paper, a generic and adaptive geometrybased stochastic model (GBSM) is proposed for non-isotropic multiple-input multiple-output (MIMO) mobile-to-mobile (M2M) Ricean fading channels. The proposed model employs a combined two-ring model and ellipse model, where the received signal is constructed as a sum of the line-of-sight, single-, and doublebounced rays with different energies. This makes the model sufficiently generic and adaptable to a variety of M2M scenarios (macro-, micro-, and pico-cells). More importantly, our model is the first GBSM that has the ability to study the impact of the vehicular traffic density on channel characteristics. From the proposed model, the space-time-frequency correlation function and the corresponding space-Doppler-frequency power spectral density (PSD) of any two sub-channels are derived for a non-isotropic scattering environment. Based on the detailed investigation of correlations and PSDs, some interesting observations and useful conclusions are obtained. These observations and conclusions can be considered as a guidance for setting important parameters of our model appropriately and building up more purposeful measurement campaigns in the future. Finally, close agreement is achieved between the theoretical results and measured data, demonstrating the utility of the proposed model.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2009.081560