Estimation of Cellular Wireless User Coordinates via Channel Charting and MUSIC

Abstract

We present a new way of producing a channel chart for cellular wireless communications in polar coordinates. We estimate the angle of arrival $\theta$ and the distance between the base station and the user equipment $\rho$ using the MUSIC algorithm and inverse of the root sum squares of channel coefficients (ISQ) or linear regression (LR). We compare this method with the channel charting algorithms principal component analysis (PCA), Samson’s method (SM), and autoencoder (AE). We show that ISQ and LR outperform all three in both performance and complexity. The performance of LR and ISQ are close, with ISQ having less complexity.