Vehicles Tracking in 5G-V2X UDN using Range, Bearing and Inertial Measurements

Fokin, Grigoriy; Vladyko, Andrei

doi:10.1109/icumt54235.2021.9631627

Cited by 10 publications

(3 citation statements)

References 13 publications

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“…Practical applications of topology searches in UDNs can be illustrated by the UDN positioning service area example [44] employed for vehicle positioning [45][46][47]. According to 3GPP TS 22.261 [37], the enhanced positioning service area is a subset of the positioning service area with additional gNBs to increase UE location accuracy.…”

Section: Background For Positioning and Dilution Of Precision In Ultr...mentioning

confidence: 99%

Algorithm for Topology Search Using Dilution of Precision Criterion in Ultra-Dense Network Positioning Service Area

Fokin

Koucheryavy

2023

Mathematics

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User equipment (UE) location estimation in emerging 5G/B5G/6G Ultra-Dense Networks (UDNs) is a breakthrough technology in future wireless info-communication ecosystems. Apart from communication aspects, network infrastructure densification promises significant improvement in UE positioning accuracy. Unlike networks of previous generations, an increased number of gNodeBs (gNBs) per unit area and/or volume in UDNs allows to perform measurements for UE positioning only with those base stations whose topologies are most suitable from the geometric point of view. Quantitative measurements of gNB topology suitability include horizontal (HDOP), vertical (VDOP), and position (PDOP) dilution of the precision (DOP) criteria on the plane, in height, and in space, respectively. In the current work, we formalize a set of methods for gNB topology search using time of arrival (TOA), time difference of arrival (TDOA), angle of arrival (AOA), and combined TOA–AOA and TDOA-AOA measurements. The background of the topology search using DOP criteria is a significantly increased number of gNBs per unit volume in UDNs. Based on a simulation, we propose a novel approach for a topology search in a positioning service area, resulting in a PDOP less than one for the Gazprom Arena with only five gNBs. The contribution of the current research includes algorithm and software for an iterative search of all possible gNB and UE locations in space, minimizing UE geometric DOP. The practical application of the algorithm is the gNB topology substantiation for the given positioning scenarios in 5G/B5G/6G UDNs.

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Section: Background For Positioning and Dilution Of Precision In Ultr...mentioning

confidence: 99%

Algorithm for Topology Search Using Dilution of Precision Criterion in Ultra-Dense Network Positioning Service Area

Fokin

Koucheryavy

2023

Mathematics

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“…Another set of studies explore the use of radio communications for positioning. In [16] a method is proposed that fuses inertial positioning with 5G-V2X-based ranging, which uses the time and angle of arrival of the signals emitted from a RSU, achieving sub-meter accuracy. The study in [15] proposes a cooperative positioning system in which nearby vehicles share their IMU readings and position estimations through V2V communications to help each other improve the positioning accuracy.…”

Section: Related Workmentioning

confidence: 99%

“…Several solutions have been proposed for reliable position-ing in road tunnels using various wireless technologies -e.g., using Wi-Fi [12], Bluetooth Low Energy (BLE) [13], RFID tags [14], V2X [15], [16] or cellular networks [17]. However, these solutions often require the deployment of radio beacons, base stations or Road Side Units (RSUs) within the tunnel, which depending on the deployed solution may influence the investment on the tunnel and its maintenance costs, and as a result impact the cost-effectiveness of the project [18].…”

Section: Introductionmentioning

confidence: 99%

Evaluation Study of Inertial Positioning in Road Tunnels for Cooperative ITS Applications

Rodriguez,

Khademi

2023

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)

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Global Navigation Satellite Systems (GNSS) are unreliable positioning sources in road tunnels, as the satellite signals are unable to reach deep inside the tunnels. As innovative technologies emerge within the transportation sector -e.g., with Autonomous Vehicles (AVs) and Cooperative Intelligent Transport Systems (C-ITS), higher availability, timeliness and accuracy of positioning services is demanded. In GNSS-denied environments such as road tunnels, Inertial Navigation Systems (INS) can leverage the use of accelerometers and gyroscopes to estimate the vehicle's position while the GNSS positioning signal is lost. However, these systems have proven to be unreliable in long tunnels, as noise artifacts in inertial sensors introduce errors which accumulate over time. This paper aims to investigate the impact of these on the positioning accuracy in road tunnels, through modeling a commercially available Inertial Measurement Unit (IMU) and simulating driving routes through various road tunnels within Norway, a country with a complex terrain and many road tunnels. Through these measurements, we also investigate if the positioning requirements of modern C-ITS applications are met in various tunnels, depending on the tunnel length and curvature. Finally, this work lays the foundation for developing a framework for designing costeffective and reliable indoor positioning solutions for road tunnel environments.

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System-Level Model for SINR and HPBW Evaluation in 5G mmWave UDN with Location-Aware Beamforming

Fokin

2024

Lecture Notes in Computer Science

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Vehicles Tracking in 5G-V2X UDN using Range, Bearing and Inertial Measurements

Cited by 10 publications

References 13 publications

Algorithm for Topology Search Using Dilution of Precision Criterion in Ultra-Dense Network Positioning Service Area

Algorithm for Topology Search Using Dilution of Precision Criterion in Ultra-Dense Network Positioning Service Area

Evaluation Study of Inertial Positioning in Road Tunnels for Cooperative ITS Applications

System-Level Model for SINR and HPBW Evaluation in 5G mmWave UDN with Location-Aware Beamforming

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