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Spatial Correlations of a 3-D Non-Stationary MIMO Channel Model With 3-D Antenna Arrays and 3-D Arbitrary Trajectories | IEEE Journals & Magazine | IEEE Xplore

Spatial Correlations of a 3-D Non-Stationary MIMO Channel Model With 3-D Antenna Arrays and 3-D Arbitrary Trajectories


Abstract:

By considering the 3-D antenna arrays and 3-D arbitrary trajectories of a mobile station, a generic non-stationary geometry-based stochastic model for multiple-input mult...Show More

Abstract:

By considering the 3-D antenna arrays and 3-D arbitrary trajectories of a mobile station, a generic non-stationary geometry-based stochastic model for multiple-input multiple-output channels is proposed. Under 3-D non-isotropic von Mises-Fisher scattering scenarios, the theoretical and approximate expressions of time-variant spatial correlation function (SCF) are also derived and analyzed. Simulation results show that the SCFs of proposed model match well with the ones of existing models for the special cases of 1-D linear and 2-D curve trajectories. In addition, the derived theoretical SCFs also have good agreements with simulated and measured results.
Published in: IEEE Wireless Communications Letters ( Volume: 8, Issue: 2, April 2019)
Page(s): 512 - 515
Date of Publication: 26 October 2018

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I. Introduction

Multiple-input multiple-output (MIMO) technologies have drawn attention for their ability to increase spectral efficiency and system capacity significantly [1]. Meanwhile, despite difficulty and high price in realization, the three dimensional (3D) antenna array is a promising solution to improve directional performance of MIMO systems. However, insufficient antenna spacing or lack of scattering would reduce these benefits due to increased spatial correlation (SC). Therefore, the exploitation of SC is vital for design, optimization, and performance evaluation of wireless MIMO communication systems. Especially, the closed-form expressions of spatial correlation functions (SCFs) are essential to derive the theoretical results of system performance [2], [3], i.e., capacity, energy efficiency, and bit error rate (BER).

References

References is not available for this document.