Architecture, Protocols, and Algorithms for Location-Aware Services in Beyond 5G Networks

Hammarberg, Peter; Vinogradova, Julia; Fodor, Gábor; Shreevastav, Ritesh; Dwivedi, Satyam; Gunnarsson, Fredrik

doi:10.1109/mcomstd.0001.2100074

Cited by 4 publications

(3 citation statements)

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“…For indoors, we consider the six indoor base stations (1,2,3,4,5,6). In this case, different choices of the reference station were also tested; however, none of them significantly outperforms the others in term of the error statistics.…”

Section: D Errormentioning

confidence: 99%

“…To continue, 5G can augment GNSSs by providing additional range measurements in environments where only a few satellites are visible. The accurate determination of location information is a strategic byproduct of 5G cellular networks [3][4][5], as it has the potential to benefit numerous commercial applications, from individual to public services. This covers application domains such as transportation, public safety, retail, and healthcare.…”

Section: Introductionmentioning

confidence: 99%

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5G Positioning: An Analysis of Early Datasets

Pileggi,

Grec,

Biagi

2023

Sensors

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Global Navigation Satellite Systems (GNSSs) are nowadays the prevailing technology for positioning and navigation. However, with the roll-out of 5G technology, there is a shift towards ‘hybrid positioning’: indeed, 5G time-of-arrival (ToA) measurements can provide additional ranging for positioning, especially in environments where few GNSS satellites are visible. This work reports a preliminary analysis, the processing, and the results of field measurements collected as part of the GINTO5G project funded by ESA’s EGEP programme. The data used in this project were shared by the European Space Agency (ESA) with the DICA of Politecnico di Milano as part of a collaboration within the ESALab@PoliMi research framework established in 2022 between the two organizations. The ToA data were collected during a real-world measurement campaign and they cover a wide range of user environments, such as indoor areas, outdoor open sky, and outdoor obstructed scenarios. Within the test area, eleven self-made replica 5G base stations were set up. A trolley, carrying a self-made 5G receiver and a data storage unit, was moved along predefined trajectories; the trolley’s accurate trajectories were determined by a total station, which provided benchmark positions. In the present work, the 5G data are processed using the least squares method, testing and comparing different strategies. Therefore, the primary goal is to evaluate algorithms for position determination of a user based on 5G observations, and to empirically assess their accuracy. The results obtained are promising, with positional accuracy ranging from decimeters to a few meters in the worst cases.

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Section: D Errormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

5G Positioning: An Analysis of Early Datasets

Pileggi,

Grec,

Biagi

2023

Sensors

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“…Moreover, RIS may collaborate with UAV in what Although these valuable information is susceptible to be attacked by unauthorized parties, recently, many algorithms have been proposed to guarantee the security and the privacy of the PI [32], [33]. Hence, implementing different schemes in 5G and beyond networks using PI to help in relaxing their existing limitations becomes common and more practical [34], [35]. Global positioning service (GPS), Wi-Fi, and visible light communication [36]- [38] are examples of the technologies that provide positioning services to the wireless networks in outdoor, urban or indoor environments.…”

mentioning

confidence: 99%