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From C-Band to mmWave-Band: Ray-Tracing-Assisted 5G-Based Indoor Positioning in Industrial Scenario

2024/09/19 by Karthik Muthineni, Alexander Artemenko, Muthineni, Karthik +1 · 1 citation
Engineering · #FOS: Electrical engineering #Indoor and Outdoor Localization Technologies #Millimeter-Wave Propagation and Modeling #Signal Processing (eess.SP) #Telecommunications and Broadcasting Technologies #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2409.12624

openalex publication_date 2024/09/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30

Abstract

Private fifth-generation (5G) networks are increasingly becoming the industrys' choice of wireless communication networks for accelerating production processes. In this context, the role of 5G in providing precise positioning services in indoor industrial scenarios has also been actively discussed. However, the achievable indoor positioning accuracy depends on the radio propagation conditions persisting in the scenario. In this paper, using a Ray-Tracing (RT) engine, we investigate the radio environment in C-band (3.775 GHz) as well as the mmWave-band (26.85 GHz) for a detailed 3D geometric model of the dense clutter industrial production hall under different emulation setups and categorize the dominant Non-Line-of-Sight (NLoS) MultiPath Components (MPCs). We then evaluate the achievable Observed Time Difference of Arrival (OTDoA) based positioning accuracy in the C-band and the mmWave-band by computing the position of User Equipment (UE) using only first-arriving MPCs.

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