Abstract
The performance of multiple-input multiple-output (MIMO) systems is greatly influenced by the spatial-temporal correlation properties of the underlying MIMO channels. This paper investigates the spatial-temporal correlation characteristics of the spatial channel model (SCM) in the Third Generation Partnership Project (3GPP) and the Kronecker-based stochastic model (KBSM) at three levels, namely, the cluster level, link level, and system level. The KBSM has both the spatial separability and spatial-temporal separability at all the three levels. The spatial-temporal separability is observed for the SCM only at the system level, but not at the cluster and link levels. The SCM shows the spatial separability at the link and system levels, but not at the cluster level since its spatial correlation is related to the joint distribution of the angle of arrival (AoA) and angle of departure (AoD). The KBSM with the Gaussian-shaped power azimuth spectrum (PAS) is found to fit best the 3GPP SCM in terms of the spatial correlations. Despite its simplicity and analytical tractability, the KBSM is restricted to model only the average spatial-temporal behavior of MIMO channels. The SCM provides more insights of the variations of different MIMO channel realizations, but the implementation complexity is relatively high.
Highlights
In the 3rd generation (3G) and beyond-3G (B3G) wireless communication systems, higher data rate transmissions and better quality of services are demanded
Compared with the spatial channel model (SCM), Kronecker-based stochastic model (KBSM) are often questioned about the oversimplification of multiple-input multiple-output (MIMO) channel characteristics. Both the SCM and KBSM are well known, some important issues still remain unclear for academia and industry. These issues include the following question (1) what is the major physical phenomenon that makes the fundamental difference of the two models? (2) under what conditions will the two models exhibit similar spatial-temporal correlation characteristics? (3) when will we use the SCM or KBSM as the best tradeoff between the model accuracy and efficiency? The aim of this paper is to find solutions to the above unclear questions
We have proposed to compare the spatialtemporal correlation characteristics of the 3rd Generation Partnership Project (3GPP) SCM and KBSM at three levels
Summary
In the 3rd generation (3G) and beyond-3G (B3G) wireless communication systems, higher data rate transmissions and better quality of services are demanded. The mapping between a PSM and a CBSM was addressed only in a few papers [17,18,19], where the comparison of the spatial-temporal correlation properties of both types of models was not based on the same set of parameters. Both the SCM and KBSM are well known, some important issues still remain unclear for academia and industry These issues include the following question (1) what is the major physical phenomenon that makes the fundamental difference of the two models? The aim of this paper is to find solutions to the above unclear questions For this purpose, we propose to distinguish the spatial-temporal correlation properties of both models at three levels, namely, the cluster level, link level, and system level.
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