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Modelling the elevation power angle spectrum of a MIMO channel

Olabode Idowu-Bismark, Oluseun Oyeleke, Oluwatobiloba Idowu-Bismark

Article ID: 2319
Vol 1, Issue 1, 2023

DOI: https://doi.org/10.54517/cte.v1i1.2319

Received: 27 September 2023; Accepted: 10 November 2023; Available online: 19 November 2023;
Issue release: 30 December 2023

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Abstract

Multiple-Input Multiple-Output (MIMO) channel modelling is constantly researched, and the innovation of its three-dimensional (3D) models is the introduction of the elevation domain parameters, in particular the elevation angle of arrival (EOA) and elevation angle of departure (EOD) where their power angle spectrum (PAS) and their angular spread (AS) greatly impact the 3D MIMO performance. PAS is the basic characteristic used to estimate and model angular dispersion in wireless channels. Propagating signal waves are constrained into a path having an angle within which the power is contained. One of the scenes that will have a significant effect on these parameters is the relative height between the BS and the building. They will also depend on the distance between the base station (BS) and the user equipment (UE). In this work, we investigate the effect of distance and height on the power angle spectrum of a street canyon and a high-rise scenario in the urban environment. The wireless Insite X3D ray tracing engine and a 3D digital map of the environment were used for the simulation. It is seen that the elevation power spectrum (EPS) in the elevation domain decreases with distance and height in both scenarios for the arrival and departure. The appearance of multiple peaks leads to a double-normal distribution in the arrival of the high-rise as height increases, which is a result of reflections from multiple clusters. The azimuth power spectrum (APS) in the azimuth domain also decreases with distance and height at the arrival but increases with distance and height at the departure. The result of the power angle spectrum in this work can be used for modelling angular dispersion as well as designing adaptive antennas for wireless communication.

Keywords

angular power spectrum; FD-MIMO; EPS; APS; 3D channel modelling; 5G

References

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Qatar University, Qatar

Processing Speed (2023)

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