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Title	Positioning As Service For 5G Iot Networks
ID_Doc	42383
Authors	El Boudani B.; Kanaris L.; Kokkinis A.; Chrysoulas C.; Dagiuklas T.; Stavrou S.
Year	2021
Published	2021 Telecoms Conference, ConfTELE 2021
DOI	http://dx.doi.org/10.1109/ConfTELE50222.2021.9435586
Abstract	Big Data and Artificial Intelligence are new technologies to improve indoor localization. It focuses on the use of machine learning probabilistic algorithms to extract, model and analyse live and historical signal data obtained from several sources. In this respect, the data generated by 5G network and the Internet of Things is quintessential for precise indoor positioning in complex building environments. In this paper, we present a new architecture for assets and personnel location management in 5G network with an emphasis on vertical sectors in smart cities. Moreover, we explain how Big Data and Machine learning can be used to offer positioning as service. Additionally, we implement a new deep learning model for 3D positioning using the proposed architecture. The performance of the proposed model is compared against other Machine Learning algorithms. © 2021 IEEE.
Author Keywords	5G; Big Data; Deep Learning; Indoor Positioning; Internet of Things; Radiomap; RSS

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