Abstract
Aerial networks represent a complementary technology for the provision of fifth-generation (5G) wireless communication services via high- and low-altitude platforms (HAPs/LAPs) or airborne vehicles. This paper proposes a three-dimensional (3-D) regular-shaped geometry-based stochastic model (RS-GBSM) for millimeter wave (mmWave) massive multiple-input–multiple-output (MIMO) aerial fading channels. A birth–death process is used to model the non-stationary properties of clusters on both the spatial and temporal domains. In addition, the channel statistical properties are studied and mathematical expressions for the space-time-frequency correlation function (STFCF) and the Doppler power spectral density (PSD) are derived. Based on the RS-GBSM, a statistical simulation model is also developed to confirm the numerical results.
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