Abstract
This paper presents a three-dimensional (3D) massive multiple-input and multiple-output (MIMO) antenna array model, which includes the spherical array assumption and geometric properties for future fifth generation (5G) wireless communications. A parametric approximation algorithm is developed for estimating the spatial fading correlations (SFCs) and channel capacities of the 3D massive MIMO antenna array systems under different power angular spectrum (PAS). The relationship between correlation with the spacing of antenna arrays and angular parameters was classified. The results show that the simulation values of the approximate method fit the theoretical calculation very well, thereby validating the feasibility of the proposed 3D large-scale massive MIMO model.
Highlights
Massive multiple-input and multiple-output (MIMO) technologies have been suggested as a promising technology in modern wireless communication systems [1]
(3) A parametric approximation algorithm is employed in estimating the performance of the proposed massive MIMO antenna array model; the results show that the simulation results of the approximate method fit the theoretical calculation very well, which greatly improve the efficiency of analyzing and simulating large-scale massive MIMO communication systems
For the proposed 3D large-scale arrays, we assume the incident signals are uniformly distributed in the elevation and azimuth planes, i.e., θ and φ are uniformly distributed over the range of angles [θM − θ, θM + θ ]. and φM − φ, φM + φ . θ and φ are the elevation spread (ES) and azimuth spread (AS), respectively; θM and φM are the mean azimuth of arrival (MAOA) and mean elevation of arrival (MEOA), respectively
Summary
Massive multiple-input and multiple-output (MIMO) technologies have been suggested as a promising technology in modern wireless communication systems [1]. To evaluate the performance of the proposed 3D massive MIMO antenna arrays, we apply a parametric approximation algorithm for VOLUME 7, 2019 the spatial fading correlations and the channel capacities of the 3D massive MIMO antenna arrays systems under different power azimuth spectrum. (4) The SFCs and channel capacities of the proposed model are derived and investigated based on the parametric approximation algorithm; the simulation results provide theoretical guidance for the scattering distribution and antenna array layout of future massive MIMO channels in various indoor and outdoor testing scenarios. It is confirmed in [15] that the UCCA array antenna shown in Fig. 1(b) can effectively solve this problem In this case, the signal spherical wavefront assumption is proposed, the channel impulse response of MIMO antenna arrays can be separated into steering-vector-dependent and timedependent components [13], which can be expressed as.
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