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

Xiang Cheng, Cheng Xiang Wang, David I. Laurenson, Sana Salous, Athanasios V. Vasilakos

Research output: Contribution to journalArticlepeer-review

293 Citations (Scopus)


In this paper, a generic and adaptive geometrybased stochastic model (GBSM) is proposed for non-isotropic multiple-inputmultiple-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. © 2009 IEEE.

Original languageEnglish
Article number5285204
Pages (from-to)4824-4835
Number of pages12
JournalIEEE Transactions on Wireless Communications
Issue number9
Publication statusPublished - Sept 2009


  • MIMO
  • Mobile-to-mobile channels
  • Non-isotropic scattering environments
  • Space-Doppler-frequency power spectrum density
  • Space-time-frequency correlation function


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