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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiang Cheng Cheng-Xiang Wang Laurenson, D.I. Hsiao-Hwa Chen Vasilakos, A.V. |
| Copyright Year | 2008 |
| Description | Author affiliation: Joint Res. Inst. for Signal & Image Process., Heriot-Watt Univ., Edinburgh (Xiang Cheng; Cheng-Xiang Wang) |
| Abstract | In this paper, a generic and adaptive geometrical- based stochastic reference model is proposed for multiple-input multiple-output (MIMO) mobile-to-mobile (M2M) Ricean fading channels. The proposed model employs a combined two-ring model and elliptical-ring model, where the received signal is constructed as a sum of the line-of-sight (LoS), single-, and double-bounced rays with different energies. This makes the model sufficiently generic and therefore includes many existing channel models as special cases. Importantly, the model can easily be adapted to a variety of M2M propagation environments, e.g., outdoor macro-, micro, and pico-cells taking into account different vehicle traffic densities, by adjusting model parameters. From the proposed model, the space-time (ST) correlation function (CF) and the corresponding space-Doppler (SD) power spectral density (PSD) of any two sub-channels are derived for a two-dimensional (2D) non-isotropic scattering environment. Finally, some numerical results are presented and compared with measured results. The close agreement between the theoretical and empirical curves verifies the utility of the proposed model. |
| Starting Page | 1000 |
| Ending Page | 1005 |
| File Size | 381803 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424422012 |
| DOI | 10.1109/IWCMC.2008.173 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-08-06 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fading Computational modeling Adaptation model MIMO Numerical models Antennas Vehicles |
| Content Type | Text |
| Resource Type | Article |
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