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One of the notable aspects of public safety applications in 5G networks is location awareness, which is a feature of contemporary technology that imparts details about a user`s geographical location to another user or application. Mobile users take their cell phones and other gadgets with them almost everywhere. Thus, integrating location awareness in mobile applications gives users a much more real experience. Therefore, this paper presents an algorithm to predict user location in 5G networks by using received signal strength measurements. Initially, the relative coordinates of users are computed using Isomap. Then the relative coordinates of users are transformed by Procrustes analysis. In order to evaluate the performance of the proposed algorithm, the Cramer-Rao lower bound is derived, which is the lower bound on error variance. It can be concluded from our results that the proposed approach outperforms those found in the existing literature.

Location Awareness in 5G Networks Using RSS Measurements for Public Safety Applications