Wideband MIMO Mobile-to-Mobile Channels: Geometry-Based Statistical Modeling With Experimental Verification (original) (raw)
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2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, 2008
A three-dimensional reference model for wideband multiple-input multiple-output (MIMO) mobile-to-mobile (M-to-M) channels is reviewed. To validate the reference model, an experimental MIMO M-to-M channel-sounding campaign was conducted for M-to-M vehicular communication with vehicles travelling along expressways in a metropolitan area. The measured data is processed and the channel statistics obtained from the reference model and from the empirical measurements are compared. The close agreement between the analytically and empirically obtained channel statistics confirms the utility of the proposed reference model.
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Vehicle-to-Vehicle (V2V) communication has received a lot of attention over recent years since it can improve the efficiency and safety of roads for drivers and travellers besides other numerous applications. However dynamic nature of this environment makes it difficult to come up with a suitable wireless communication channel model that can be used in the simulation of any V2V communication system. This paper reviews the recent techniques used for geometry-based stochastic channel modelling for V2V communication. It starts by presenting the various classes of wireless communication channel models available in the literature with more emphasis on the Geometry-Based Stochastic channel Models (GBSM). Then the paper discusses in more detail the state of the art of the regular-shaped and irregular-shaped GBSM for the two- and three-dimensional models. Finally, main challenges are identified and future research directions in this area are recommended.
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The recent development of high-speed trains (HSTs), as a high-mobility intelligent transportation system (ITS), and the growing demands of broadband services for HST users introduce new challenges to wireless communication systems for HSTs. The deployment of mobile relay stations (MRSs) on top of the train carriages is one of the promising solutions for HST wireless systems. For a proper design and evaluation of HST wireless communication systems, we need accurate channel models that can mimic the underlying channel characteristics for different HST scenarios. In this paper, a novel non-stationary geometry-based stochastic model (GBSM) is proposed for wideband multipleinput multiple-output (MIMO) HST channels in rural macrocell (RMa) scenarios. The corresponding simulation model is then developed with angle parameters calculated by the modif ed method of equal areas (MMEA). Both channel models can also be used to model non-stationary V2I channels in vehicular communication networks. The system functions and statistical properties of the proposed channel models are investigated based on a theoretical framework that describes non-stationary channels. Numerical and simulation results demonstrate that the proposed channel models have the capability to characterize the non-stationarity of HST channels. The statistical properties of the simulation model, verif ed by the simulation results, can match those of the proposed theoretical GBSM. An excellent agreement is achieved between the stationary intervals of the proposed simulation model and those of relevant measurement data, demonstrating the utility of the proposed channel models. Index Terms-High-speed train (HST) channels, vehicle-toinfrastructure (V2I) channels, GBSM, non-stationary MIMO channel models, statistical properties.