Experimental Validation of 5G Positioning With Inter-Cell Clock Bias Correction
Open Access
- 18 May 2026
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 14, 75525-75534
Abstract
The advancement of fifth generation (5G) cellular networks offers significant opportunities for positioning services, yet the performance of these systems is currently hindered by the clock offset found in commercial networks among 5G base stations, here referred to as inter-cell clock bias (ICCB). These biases introduce systematic errors in time of arrival (TOA) measurements, degrading localization accuracy. This paper addresses this challenge by utilizing a stationary reference receiver to estimate and correct the ICCBs. By aligning the timing references of multiple base stations, our single-difference correction method enables accurate standalone positioning using opportunistically received synchronization signal block (SSB) data. The proposed method was validated through three independent measurement campaigns at the same rural location on broadcast signals from a commercial 5G network. The results demonstrate the effectiveness of the ICCB correction, showing a 73%–84% reduction in positioning error compared to uncompensated methods. Applying a smoothing filter to the ICCB corrections further improves the mean accuracy by about 18%–19%, achieving a mean error between 12.7m and 20.6m across the three tests. While this performance is constrained by the limited bandwidth of the current commercial 5G deployment at 3.68 GHz, our findings confirm the feasibility of leveraging public 5G signals for location-based services.Keywords
This publication has 42 references indexed in Scilit:
- Next-Generation Integrated Communications, Navigation, and Surveillance Services2025
- A Tutorial on 5G PositioningIEEE Communications Surveys & Tutorials, 2024
- NB-IoT Path Loss Experimental Measurements in Urban Outdoor Environments2024
- 5G positioning with software-defined radiosComputer Networks, 2024
- Positioning and Location‐based Analytics in 5G and Beyond2023
- Experimental assessment of SDR-based 5G positioning: methodologies and insightsAnnals of Telecommunications, 2023
- A feasibility study of 5G positioning with current cellular network deploymentScientific Reports, 2023
- A Review of Millimeter Wave Device-Based Localization and Device-Free Sensing Technologies and ApplicationsIEEE Communications Surveys & Tutorials, 2022
- Carrier Phase Ranging for Indoor Positioning With 5G NR SignalsIEEE Internet of Things Journal, 2021
- Vehicle Positioning Using 5G Millimeter-Wave SystemsIEEE Access, 2016