Abstract
In this paper, the antenna modeling method in the International Mobile Telecommunications-Advanced (IMT-Advanced) channel model is validated by field channel measurements in the indoor scenario at 2.35 GHz. First, the 2 × 2 MIMO channel impulse responses (CIRs) are recorded with practical antennas as references. Second, the CIRs are reconstructed from the available IMT-Advanced channel model with field patterns of the practical antennas and updated spatial parameters extracted from the similar scenario measurements. Then comparisons between the field CIRs and the reconstructed CIRs are made from coherent bandwidth, eigenvalue dispersion, outage capacity, and ergodic channel capacity. It is found that the reconstructed results closely approximate real results in the coherent bandwidth and correctly describe the statistical characteristics in frequency domain. Compared to the field CIRs, the spatial correlation of the reconstructed CIRs with both types of antenna have a wider range that causes the underestimation of the 5% channel outage capacity. Due to the negligence of the coupling among the antennas and the near field effect of antenna, this modeling method will have a great impact on the characteristics of radio channels, especially on the spatial characteristics.
Highlights
Multiple-input multiple-output (MIMO) systems, which deploy spatially separated multiple antenna elements at both ends of the transmission link, have to be considered as one of the most promising approaches for high data rate and more reliable wireless systems without extra bandwidth
dipole antenna (DPA), planar inverted-F antenna (PIFA), and omnidirectional antenna array (ODA) are used to collect the spatial channel impulse responses (CIRs), and the channel reconstruction is performed by updating the characteristics parameters of IMT-Advanced channel model and matrix manipulation with the antenna array patterns at the both sides of the communication link
The coherent bandwidth, eigenvalue dispersion, and channel capacity are compared between the measured raw data and the reconstructed CIRs
Summary
Multiple-input multiple-output (MIMO) systems, which deploy spatially separated multiple antenna elements at both ends of the transmission link, have to be considered as one of the most promising approaches for high data rate and more reliable wireless systems without extra bandwidth. The 8 × 8 MIMO capacity predicted by the Kronecker model is always below the capacity extracted directly from the filed measurement Another important wideband MIMO spatial channel model, the International Mobile Telecommunications-Advanced (IMTAdvanced) channel model, is regarded as an appropriate channel model to predict the MIMO channel capacity. This model is a geometry-based stochastic channel model, which adopts the multipath superposition method to generate channel coefficients. By separating multipath channel model into multipath propagation channel model and antenna pattern model, this model characterizes the multipath channel parameter and can be configured with any type of antenna array This model is popular to investigate the impact of antenna array configuration on the capacity and the reliability of algorithm. The effects of the user’s presence on the performance of a MIMO system in data
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