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

By Xiang Cheng, Cheng-Xiang Wang, David I. Laurenson, Sana Salous, Athanasios V. Vasilakos. IEEE Transactions on Wireless Communications, 2009

308 citations recorded by the source corpus.

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.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/aebdd62124a447721a9e9a58711dfd5083bc1b6b

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Citations in the corpus

A Security and Privacy Review of VANETs (2015, background): “…of VANETs, Section III introduces the basic ideas and technologies involved in existing security models from 2004–2014 publications, Section IV presents the privacy issues and existing solutions, Section V discusses the tradeoff between security and privacy, and Section VI concludes the review.”
The Design and Applications of High-Performance Ray-Tracing Simulation Platform for 5G and Beyond Wireless Communications: A Tutorial (2019, unknown): “certain scenarios of interest, it is still critical to determine the values of probability distribution parameters and validate the models according to channel measurements [42], [43].”
A Survey of 5G Channel Measurements and Models (2018, methodology): “A further advance was presented in [99]–[101], where the authors proposed an adaptive V2V model by combining a two-ring model and an ellipse model.”
Impact of Vehicles as Obstacles in Vehicular Ad Hoc Networks (2011, background): “…vehicles (it was shown in [27] that the wide-sense stationary uncorrelated scattering assumption does not hold for the V2V channel) Cheng et al. in [28] presented a MIMO channel model that takes into account the LOS, single-bounced rays, and double-bounced rays by employing a combined two-ring and…”
A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges (2020, methodology): “The GBSMs [31], [176]–[180] can be split mainly into regular-shaped GBSMs (RS-GBSM) (such as one-ring, two-ring, and ellipse models) or irregular shaped GBSMs (IS-GBSMs).”
A Survey on High Mobility Wireless Communications: Challenges, Opportunities and Solutions (2016, background): “The effects of nonisotropic scattering are considered in [45].”
Challenges Toward Wireless Communications for High-Speed Railway (2014, background): “devoted themselves to the research studies on the multi-input–multioutput orthogonal frequency-division multiplexing (MIMOOFDM) channel modeling [16], the geometry-based stochastic channel modeling [17], and the ray-tracing technique [18], respectively.”
A survey on vehicle-to-vehicle propagation channels (2009, background): “Generalizations allow for the existence of an LOS component [40], single-scattering either near the TX or the RX, where the relative strengths of those processes are model parameters [41], or inclusion of additional scatterers on an ellipse [42].”