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 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 ashley stewart outlet 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 network setting with random node locations, we propose an accurate approximation of the CRLB using the $lceil L/4
ceil 15-eg1053cl $ -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.