Performance Analysis for AOA-Based Localization Under Millimeter-Wave Wireless Networks

Performance Analysis for AOA-Based Localization Under Millimeter-Wave Wireless Networks

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Millimeter-Wave (mmWave) communication is a promising solution for achieving high data rate and low latency in 5G wireless networks.Since directional beamforming and antenna arrays are exploited in the mmWave sawgrass virtuoso sg500 complete sublijet sublimation printer kit networks, accurate angle-of-arrival (AOA) measurements can be obtained and utilized for localization purposes.In this work, we consider the AOA-based positioning for the mmWave networks using stochastic geometry and analyze how the Cramér-Rao lower bound (CRLB) is affected by the spatial distribution of nodes, including the target and participating anchors.

In order to apply the CRLB on a rectangular barn quilt patterns network setting with random node locations, we propose an accurate approximation of the CRLB using the $lceil L/4 ceil $ -th value of the ordered distances where $L$ is the number of participating anchors.These findings provide us deep insight into optimum network design that meets specified localization requirements.