  We consider the mobile localization problem in future millimeter-wave
wireless networks with distributed Base Stations (BSs) based on multi-antenna
channel state information (CSI). For this problem, we propose a Semi-supervised
tdistributed Stochastic Neighbor Embedding (St-SNE) algorithm to directly embed
the high-dimensional CSI samples into the 2D geographical map. We evaluate the
performance of St-SNE in a simulated urban outdoor millimeter-wave radio access
network. Our results show that St-SNE achieves a mean localization error of 6.8
m with only 5% of labeled CSI samples in a 200*200 m^2 area with a ray-tracing
channel model. St-SNE does not require accurate synchronization among multiple
BSs, and is promising for future large-scale millimeter-wave localization.
