Abstract
This paper presents a propagation channel simulator for polarized bidirectional wideband propagation channels. The generic channel model implemented in the simulator is a set of rays described by geometrical and propagation features such as the delay, 3D direction at the base station and mobile station and the polarization matrix. Thus, most of the wideband channel models including tapped delay line models, tap directional models, scatterer or geometrical models, ray-tracing or ray-launching results can be simulated. The simulator is composed of two major parts: firstly the channel complex impulse responses (CIR) generation and secondly the channel filtering. CIRs (or CIR matrices for MIMO configurations) are processed by specifying a propagation model, an antenna array configuration, a mobile direction, and a spatial sampling factor. For each sensor, independent arbitrary 3D vectorial antenna patterns can be defined. The channel filtering is based on the overlap-and-add method. The time-efficiency and parameterization of this method are discussed with realistic simulation setups. The global processing time for the CIR generation and the channel filtering is also evaluated for realistic configuration. A simulation example based on a bidirectional wideband channel model in urban environments illustrates the usefulness of the simulator.
Highlights
Multiple antenna radio access (MIMO) based on antenna arrays at both the mobile station (MS) and the base station (BS) have recently emerged as a key technology in wireless communications for increasing the data rates and system performances [1, 2]
The reliability of the results from link-level simulations depends strongly on a realistic modeling of the propagation channel. This is true for wideband Multiple Input Multiple Output (MIMO) systems, when polarization and spatial diversities are foreseen at the Base Station (BS) or at the Mobile Station (MS)
This paper presents a time-efficient and flexible MIMO propagation channel simulator which is compatible with all physical models
Summary
Multiple antenna radio access (MIMO) based on antenna arrays at both the mobile station (MS) and the base station (BS) have recently emerged as a key technology in wireless communications for increasing the data rates and system performances [1, 2]. The reliability of the results from link-level simulations depends strongly on a realistic modeling of the propagation channel This is true for wideband MIMO systems, when polarization and spatial diversities are foreseen at the Base Station (BS) or at the Mobile Station (MS). Geometrical models [7-9], directional tap models [10-12] or ray tracing [13, 14] are examples of physical models Both approaches have advantages and disadvantages but physical models seem to be more suitable for MIMO applications because they are independent from the antenna array configuration [15]. They inherently preserve the joint properties of the propagation channel in temporal, spatial and frequential domains. By taking into account antenna diagrams, Doppler spectrum or correlation matrices can be coherently deduced from a physical model
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