Indoor localization with UMTS compared to WLAN

Birkel, Ulrich; Weber, Mark

doi:10.1109/ipin.2012.6418933

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…In addition to the three techniques mentioned above a novel technique now being proposed in the literature and based primarily upon the analysis of RF measurement from the UE is RF fingerprinting [23,24]. Here a database of expected serving and neighbour cells and their expected signal levels is constructed -ideally for all possible locations within network through dedicated measurement surveys or by the processing of geo-located UE measurement reports from a large based of users.…”

Section: Rf Fingerprinting Techniquesmentioning

confidence: 99%

Locating small cells using geo-located UE measurement reports & RF fingerprinting

Joyce

Zhang

2015

2015 IEEE International Conference on Communications (ICC)

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This paper proposes a number of methods to determine potential small cell site locations using geo-located UE measurement reports in order to maximise the traffic offload from the macrocell network onto the small cells. The paper also shows how the information contained within the measurement reports can be used to create "RF fingerprints" which in turn can be used to discard UE measurement reports with erroneous location information and by doing so increase the effectiveness of the small cell placement algorithm. Simulations are presented which suggest that when addressing traffic hotspots in central London using small cells with coverage radii of 50m and 100m, the gains provided by the placement algorithms using simple RF fingerprinting technique are significant for UE reports with large location errors (>100m RMS error) when compared to techniques not using RF fingerprinting.

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Section: Rf Fingerprinting Techniquesmentioning

confidence: 99%

Locating small cells using geo-located UE measurement reports & RF fingerprinting

Joyce

Zhang

2015

2015 IEEE International Conference on Communications (ICC)

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“…Cellular base stations (BSs) or Wi-Fi access points (APs) already transmit RF signals and the localization of the mobile users can be performed by their mobile devices, which are collecting RSS values [11][12][13][14][15][16]. In this line, the RF multilateration method requires the modeling of transmitter and receiver antenna performances, which is an easy task for antenna designers.…”

Section: Introductionmentioning

confidence: 99%

An experimental study of indoor RSS-based RF fingerprinting localization using GSM and Wi-Fi signals

Celik¹,

Celebi²,

Partal³

et al. 2017

Turk J Elec Eng & Comp Sci

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Localization of mobile users in indoor environments has many practical applications in daily life. In this paper, we study the performance of the received signal strength (RSS)-based radio frequency (RF) fingerprinting localization method in a shopping mall environment considering both calibration and practical measurement cases. In the calibration case, the test data for the RSS fingerprinting database are built offline by receiving signals from Global System for Mobile Communications (GSM) base stations, which are collected by a dedicated measurement tool, i.e. the Test Mobile System. In order to see the localization performance, the k-nearest neighbors (K-NN) and random decision forest (RDF) algorithms are implemented. The RDF algorithm provides a better localization performance than K-NN in this case. For the practical implementations, the RSS values of both GSM and Wi-Fi signals are collected by ordinary smartphones.Localization is performed using different classification algorithms, i.e. BayesNet, support vector machines, K-NN, RDF, and J48. Moreover, the effects of the received signal type, phone type, and number of reference points on localization performance are investigated.

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Performance considerations for positioning with signals of opportunity

Silva

Lohan

2016

2016 International Conference on Localization and GNSS (ICL-GNSS)

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Indoor localization with UMTS compared to WLAN

Cited by 5 publications

References 7 publications

Locating small cells using geo-located UE measurement reports & RF fingerprinting

Locating small cells using geo-located UE measurement reports & RF fingerprinting

An experimental study of indoor RSS-based RF fingerprinting localization using GSM and Wi-Fi signals

Performance considerations for positioning with signals of opportunity

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