3D Non-Stationary Channel Measurement and Analysis for MaMIMO-UAV Communications
Achiel Colpaert, Zhuangzhuang Cui, Evgenii Vinogradov, and Sofie, Pollin

TL;DR
This paper presents a measurement platform and analysis of air-to-ground MaMIMO channels for UAV communications, focusing on channel stationarity and spatial-temporal characteristics to aid physical layer design.
Contribution
It introduces a UAV MaMIMO testbed, measures detailed channel characteristics, and proposes new metrics like stationary angle for comprehensive channel analysis.
Findings
Channel stationarity varies across space, time, and frequency domains.
Proposed stationary angle (SA) as a new metric for time domain stationarity.
Spatial correlations indicate array element stationarity.
Abstract
Unmanned aerial vehicles (UAVs) have gained popularity in the communications research community because of their versatility in placement and potential to extend the functions of communication networks. However, there remains still a gap in existing works regarding detailed and measurement-verified air-to-ground (A2G) Massive Multi-Input Multi-Output (MaMIMO) channel characteristics which play an important role in realistic deployment. In this paper, we first design a UAV MaMIMO communication platform for channel acquisition. We then use the testbed to measure uplink Channel State Information (CSI) between a rotary-wing drone and a 64-element MaMIMO base station (BS). For characterization, we focus on multidimensional channel stationarity which is a fundamental metric in communication systems. Afterward, we present measurement results and analyze the channel statistics based on power…
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Taxonomy
TopicsUAV Applications and Optimization · Millimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization
