Stochastic and Deterministic Spatial Channel Models

Background

Promising transmission procedures basing on adaptive antennas (as shown in the figure below) at the base station will enable the enhancement of the capacity and the improvement of the performance of future mobile communication systems by applying array signal processing techniques. For the development of such systems, a profound knowledge of the statistical behaviour of spatial channels is unavoidable. Especially for the performance evaluation, the test, and the parameter optimisation of mobile communication systems with adaptive antennas, proper simulation models for multipath fading channels are required. The development of stochastic and deterministic channel models – by taking into account the typical spatial, temporal, and frequency correlation properties of theoretical as well as real-world channels – is the purpose of this project.

Planned Research

The wide-sense stationary uncorrelated scattering (WSSUS) model proposed by Bello has been widely accepted as an appropriate stochastical model for time-variant and frequency-selective mobile radio channels. However, the WSSUS model does not take into account the spatial selectivity of the channel. The extension of Bello’s theory with respect to spatial selectivity is a challenging problem, its solution is one aim of this project.

Stochastic reference models are in general ideal channel models, which cannot be realized exactly since the realisation amount is infinite. However, for system studies and for the parameter optimisation of mobile communication systems, realizable channel simulators with low complexity are required. The development of efficient simulation models for spatio-temporal channels is another topic of this project, where different methods will be investigated for computing the parameters of the simulation model.

Both the stochastic reference model and the there from derivable deterministic simulation model are basing on ideal assumptions concerning the propagation environment. Snapshot measurements obtained from real-world channels, however, have statistical properties which are often quite different from theoretical channel models. It is therefore desirable to have a procedure enabling the fitting of the statistical properties of the simulation model as close as possible to any given measurements of real-world channels.

Collaboration

Within the frame of this project, we are co-operating with:

Telenor FoU, Fornebu, Norway
École Supérieure des Communicationes de Tunis (SUP’COM), Tunis, Tunisia

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