LTE Geolocation Based on Measurement Reports and Timing Advance

Shakir, Zaenab; Zec, Josko; Kostanic, Ivica

doi:10.1007/978-3-030-12385-7_81

Cited by 6 publications

(5 citation statements)

References 12 publications

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“…Signaling messages refer to the signals exchanged between the UE and the LTE network. This operation proceeds at regular intervals every 30 milliseconds using the two protocols LPP and LPPa [18], [19]. The primary objective of this operation is to direct calls to and from the cellular network by providing the network with essential information about the virtual location of the UE for call routing.…”

Section: A Proposed Power Saving Algorithmmentioning

confidence: 99%

“…It was conducted to create the LTE network environment and collect RSS measurements from the dispersed RP and pre-defined in the SR, as described in Section 2.2. During this time frame, signaling messages were transmitted 15,800,000 times using the Lpp and Lppa protocols [18], [19]. Throughout this procedure, RSS readings were recorded for a total of 13,824,000 RP that were spread throughout all SRs.…”

Section: Simulation Performance In Offline Phasementioning

confidence: 99%

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A Novel RSS Fingerprint to Locate User Equipment UE in Remote Area

Shober,

Tawil

2024

ijmst

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Location determination algorithms are widely used in cellular networks, especially in the long-term evolution (LTE) network, to enable the provision of location-based services (LBS). The increasing global demand for cellular networks has resulted in the creation of new user equipment (UE) positioning systems that align with the network's momentum. Regrettably, all of these technologies are hindered by their incapacity to ascertain the location of the UE in distant regions. This article introduces a novel method utilizing Radio Frequency (RF) fingerprinting to precisely locate UEs in remote areas. The approach entails employing a proposed partitioning model with a high level of precision, incorporating artificial intelligence and machine learning AI/ML in its fundamental state to reduce the search area. Furthermore, two algorithms are suggested: The first aims to enhance the efficiency of the battery with limited capacity by decreasing the frequency of measurements transmission. The second utilizes Jaccard similarity and incorporates the prefix filtering technique to determine matches. The algorithm is used to speed up the process of matching the fingerprint recorded in the fingerprint database with the fingerprint captured in real time. The results shows that it can reduces the transmission rate by 77.08% and achieves the lowest error rate of 35.34 m. Additionally, it exhibits a response time of 8 seconds.

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Section: A Proposed Power Saving Algorithmmentioning

confidence: 99%

Section: Simulation Performance In Offline Phasementioning

confidence: 99%

A Novel RSS Fingerprint to Locate User Equipment UE in Remote Area

Shober,

Tawil

2024

ijmst

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“…where (𝑑 ̂) is the estimated distance for UE location from the serving cell based on RSRP measurement from the dataset, m=40 dB/dec is the pathloss slope, and RSLo=-90 dBm is the reference for received signal level according to urban area [17]. Each Voronoi region has a centroid point, and the distance between this point and the cell is determined (𝑑 0 ).…”

Section: Algorithm Descriptionmentioning

confidence: 99%

“…Recently, the minimization of drive test (MDT) powerful feature has been designed by telecommunication vendors based on standard LTE positioning protocol, but user equipment (UE) types limit it and subscriber privacy concerns. All these limitations led the researchers to investigate the position of the mobile device by other methods [17]- [19].…”

Section: Introductionmentioning

confidence: 99%

User equipment geolocation depended on long-term evolution signal-level measurements and timing advance

Shakir

Zec

Kostanic

et al. 2023

IJECE

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<p>A new approach is described for investigating the accuracy of positioning active long-term evolution (LTE) users. The explored approach is a network-based method and depends on signal level measurements as well as the coverage of the serving cell. In a two-dimensional coordinate system, the algorithm simultaneously applies LTE measured data with a combination of a basic prediction model to locate the mobile device’s user. Furthermore, we introduce a unique method that combines timing advance (TA) and the measured signal level to narrow the search region and improve accuracy. The developed method is assessed by comparing the predicted results from the proposed algorithm with satellite measurements from the global positioning system (GPS) in various scenarios calculated via the number of cells that user equipment concurrently reports. This work separates seven different cases starting from a single reported cell to five reported cells from up to 3 sites. For analysis, the root mean square error (RMSE) is computed to obtain the validation for the proposed approach. The study case demonstrates location accuracy based on the numbers of registered cells with the mean RMSE improved using TA to approximately 70-191 m for the range of scenarios.</p>

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“…The LTE data was measured in Cologne, Germany, with a total length route 16 km as shown in Figure 1 and frequency band 2,500 MHz. The data is collected using the driving test (DT) that the operators commonly use to collect, test, and optimize the coverage area and figure out the troubles [25], [26]. DT gathers data at various distances from the base stations starting at l0 m to 2 km.…”

Section: Datasetmentioning

confidence: 99%

Performance analysis for a suitable propagation model in outdoor with 2.5 GHz band

et al. 2023

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As demand for mobile wireless network services continues to rise, network planning and optimization significantly affect development. One of the critical elements in network planning is predicting pathloss. Thus, propagation models predict pathloss in indoor and outdoor environments. Choosing the appropriate propagation model for the area out of existing models is essential for network planning. Selected propagation models suitable with 2.5GHz, such as Friis Free Space Propagation Model (FSPL), Sandford University Interim (SUI), Ericsson, Okumura, and COST-231 HATA models, are utilized for evaluation and compared with empirical data collected from long-term evolution (LTE) networks in urban areas. The best acceptable model is chosen based on statistical results such as mean, standard deviation, and root mean square errors (RMSE). The analytical results show Cost-231 Hata model fits the empirical pathloss with a minimum RMSE of 5.27 dB.

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LTE Geolocation Based on Measurement Reports and Timing Advance

Cited by 6 publications

References 12 publications

A Novel RSS Fingerprint to Locate User Equipment UE in Remote Area

A Novel RSS Fingerprint to Locate User Equipment UE in Remote Area

User equipment geolocation depended on long-term evolution signal-level measurements and timing advance

Performance analysis for a suitable propagation model in outdoor with 2.5 GHz band

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