Interference Analysis and Modeling of Positioning Reference Signals in 5G NTN

January 1, 2024·
Alejandro Gonzalez-Garrido
,
Jorge Querol
,
Henk Wymeersch
,
Symeon Chatzinotas
· 1 min read
Abstract
The integration of Positioning, Navigation, and Timing (PNT) services within the 5G non-terrestrial networks (NTN) infrastructure is necessary to eliminate the need for a GNSS receiver in the user terminal. Using the positioning reference signal (PRS) in an NTN scenario presents significant challenges, such as interference analysis from the transmission of multiple PRS signals. This study provides a stochastic model for the interference generated by PRS transmissions in a 5G NTN scenario. This model has been derived empirically from a Monte Carlo simulator designed specifically for this purpose, showing that the distribution that best fits the interference is a Generalized Extreme Value (GEV) distribution. The parameters of this distribution are also modeled based on the PRS configuration. Therefore, a designer can use this model to evaluate the probability of encountering certain levels of interference.
Type
Publication
IEEE Open Journal of the Communications Society
publication

Abstract & Overview

The integration of Positioning, Navigation, and Timing (PNT) services within the 5G non-terrestrial networks (NTN) infrastructure is necessary to eliminate the need for a GNSS receiver in the user terminal. Using the positioning reference signal (PRS) in an NTN scenario presents significant challenges, such as interference analysis from the transmission of multiple PRS signals. This study provides a stochastic model for the interference generated by PRS transmissions in a 5G NTN scenario. This model has been derived empirically from a Monte Carlo simulator designed specifically for this purpose, showing that the distribution that best fits the interference is a Generalized Extreme Value (GEV) distribution. The parameters of this distribution are also modeled based on the PRS configuration. Therefore, a designer can use this model to evaluate the probability of encountering certain levels of interference.

Publication Metadata

  • Authors: Alejandro Gonzalez-Garrido, Jorge Querol, Henk Wymeersch, Symeon Chatzinotas
  • Venue: IEEE Open Journal of the Communications Society (2024)
  • Research Areas: 6G-NTN, RFI Mitigation & GNSS Security, GNSS & Positioning
  • DOI: 10.1109/ojcoms.2024.3503692
  • Open Access Repository: ORBiLu – University of Luxembourg
6G-NTN RFI Mitigation & GNSS Security GNSS & Positioning