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arXiv · 2302.08584

Propagation Measurements and Analyses at 28 GHz via an Autonomous Beam-Steering Platform

Bharath Keshavamurthy·Yaguang Zhang·Christopher R. Anderson·Nicolo Michelusi·James V. Krogmeier·David J. Love
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Abstract

This paper details the design of an autonomous alignment and tracking platform to mechanically steer directional horn antennas in a sliding correlator channel sounder setup for 28 GHz V2X propagation modeling. A pan-and-tilt subsystem facilitates uninhibited rotational mobility along the yaw and pitch axes, driven by open-loop servo units and orchestrated via inertial motion controllers. A geo-positioning subsystem augmented in accuracy by real-time kinematics enables navigation events to be shared between a transmitter and receiver over an Apache Kafka messaging middleware framework with fault tolerance. Herein, our system demonstrates a 3D geo-positioning accuracy of 17 cm, an average principal axes positioning accuracy of 1.1 degrees, and an average tracking response time of 27.8 ms. Crucially, fully autonomous antenna alignment and tracking facilitates continuous series of measurements, a unique yet critical necessity for millimeter wave channel modeling in vehicular networks. The power-delay profiles, collected along routes spanning urban and suburban neighborhoods on the NSF POWDER testbed, are used in pathloss evaluations involving the 3GPP TR38.901 and ITU-R M.2135 standards. Empirically, we demonstrate that these models fail to accurately capture the 28 GHz pathloss behavior in urban foliage and suburban radio environments. In addition to RMS direction-spread analyses for angles-of-arrival via the SAGE algorithm, we perform signal decoherence studies wherein we derive exponential models for the spatial/angular autocorrelation coefficient under distance and alignment effects.

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Bharath Keshavamurthy, Yaguang Zhang, Christopher R. Anderson, Nicolo Michelusi, James V. Krogmeier, David J. Love. 2023-02-16. Propagation Measurements and Analyses at 28 GHz via an Autonomous Beam-Steering Platform. https://arxiv.org/abs/2302.08584

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