Wireless Localization in Narrowband-IoT Networks

Abstract

Internet of things (IoT) is an emerging technology, which connects devices to the internet and with the upcoming of 5G, even more devices will be connected. Narrowband-IoT (NB-IoT) is a promising cellular technology that supports the connection of IoT devices and their integration with the existing long-term evolution (LTE) networks. The Increase of location-based services that requires localization for IoT devices is growing with the increase in IoT devices and applications. This thesis considers the localization of IoT devices in the NB-IoT wireless network. Localization emulation is produced in which Software Defined Radio (SDR) used to implement Base stations (BS) and user equipment (UE). Channel emulator was used to emulate wireless channel conditions, and a personal computer (PC) to calculate the UE location. The distance from each BS to the UE is calculated using Time of arrival (TOA). Triangulation method used to estimate the UE's position from the different BSs distances to the UE. The accuracy of positioning is analysed with various simulation scenarios and the results compared with third generation partnership project (3GPP) Release 14 standards for NB-IoT. The positioning accuracy requirement of 50 m horizontal accuracy for localization in NB-IoT 3GPP standardized have been achieved, under Line of Sight (LOS) full triangulation scenarios 1 and 2.