Accurate indoor positioning is a highly requested feature in a wide range of applications, and an increasing demand is expected with the roll- out of the 5G network. Although intensive research has been conducted on this topic since the 1990s, the global market still lacks a reliable, af- fordable, exible, and suciently accurate indoor positioning system. In- door localization over the cellular 5G network is a promising alternative for multiple reasons: no additional infrastructure costs, high availability, good control over security, and easy integration with other services due to standardization. The only questionable aspect is meeting the accu- racy requirements for certain applications. However, 5G has numerous bene cial modi cations and new features concerning positioning that can be exploited in the future. Our paper investigates the realization of the rst TDOA-based indoor positioning system on existing 5G small cell networks, focusing primarily on the challenging e ects of indoor signal propagation and possible ways to overcome them. To achieve this, we created a channel model based on real 5G measurements taken in an open-oce building, and we used the obtained novel model to create a realistic simulation framework. This simulation framework was utilized to investigate the positioning performance of several algorithms. In ad- dition to signal propagation issues, we investigate and highlight several other crucial aspects (e.g., synchronization and installation errors) that must be considered when deploying an industry-grade TDOA-based 5G positioning system.
Mogyorósi Ferenc, Molnár Márton, Németh Gábor, Székely Sándor, Szigeti Kános, Varga László, Varga Pál
2023-04-24
Támogató: Ericsson