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CSI Measurements and Initial Results for Massive MIMO to UAV Communication. (arXiv:2312.15188v1 [eess.SY])

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Non-Terrestrial Network (NTN) has been envisioned as a key component of the
sixth-generation (6G) mobile communication system. Meanwhile, unmanned aerial
vehicles (UAVs) play an important role in enabling and deploying NTNs. In this
paper, we focus on massive multi-input multi-output (MaMIMO) supported UAV
communications, where channel state information (CSI) was measured considering
different heights and trajectories of a rotary-wing drone. To characterize the
propagation channel for this air-to-ground link, some initial results were
analyzed, such as stationary distance. To investigate the impact of channels on
communication performance, we analyzed spectral efficiency (SE) by using
Maximum Ratio Combining (MRC). This study shows that the presented
space-time-frequency channel dataset facilitates channel correlation analysis
and supports performance evaluation for MaMIMO-UAV communications.

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