Indoor Localization of User Equipment in a 5G Ecosystem using a Hybrid Approach

This paper investigates the location estimation accuracy of an indoor localization system using both the Received Signal Strength Indicator (RSSI) and Angle of Arrival (AoA) values from the User Equipment (UE). The Quadriga channel model was used to simulate the 5G indoor scenario, operating in the mm-Wave bands and simulations were conducted at two specific frequencies, 2 GHz and 28 GHz. Results showed that the proposed weighted hybrid RSSI/AoA localization system gave a horizontal localization accuracy of 1.76 m. The proposed system showed an improvement of 56 % compared to a TDoA-based approach. However, at 28 GHz, a horizontal localization error of 11.5 m was obtained. Hence, at this frequency, additional localization measurements and more accurate channel modelling are required.