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Open AccessFeature PaperArticle

Improving RF Fingerprinting Methods by Means of D2D Communication Protocol

1
Faculty of Information Technology, University of Jyväskylä, Mattilanniemi 2, 40100 Jyväskylä, Finland
2
Institute of New Imaging Technologies, Universitat Jaume I, Av. Vicente Sos Baynat s/n, 12071 Castellón de la Plana, Spain
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(1), 97; https://doi.org/10.3390/electronics8010097
Received: 4 December 2018 / Revised: 10 January 2019 / Accepted: 11 January 2019 / Published: 16 January 2019
(This article belongs to the Special Issue Green Communications in Smart City)
Radio Frequency (RF) fingerprinting is widely applied for indoor positioning due to the existing Wi-Fi infrastructure present in most indoor spaces (home, work, leisure, among others) and the widespread usage of smartphones everywhere. It corresponds to a simple idea, the signal signature in a location tends to be stable over the time. Therefore, with the signals received from multiple APs, a unique fingerprint can be created. However, the Wi-Fi signal is affected by many factors which degrade the positioning error range to around a few meters. This paper introduces a collaborative method based on device-to-device (D2D) communication to improve the positioning accuracy using only fingerprinting and the direct communication to nearby devices. The results presented in this paper show that the positioning error can be reduced around 44% by considering D2D communication in the operational stage without adding new infrastructure for fingerprinting or complex resource-consuming filters. Moreover, the presence of very large errors is significantly reduced when the collaborative positioning based on D2D is available. View Full-Text
Keywords: RF Fingerprinting; D2D; 5G; indoor positioning RF Fingerprinting; D2D; 5G; indoor positioning
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MDPI and ACS Style

Khandker, S.; Torres-Sospedra, J.; Ristaniemi, T. Improving RF Fingerprinting Methods by Means of D2D Communication Protocol. Electronics 2019, 8, 97.

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