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Joint Device Positioning and Clock Synchronization in 5G Ultra-Dense\n Networks

2016/04/12 by Mike Koivisto, Mário Costa, Koivisto, Mike +13 · 2 citations
Engineering · #FOS: Computer and information sciences #Indoor and Outdoor Localization Technologies #Information Theory (cs.IT) #Millimeter-Wave Propagation and Modeling #Power Line Communications and Noise

paper · pdf · doi:10.48550/arxiv.1604.03322

openalex publication_date 2016/04/12 · openalex created_date 2022/10/02 · openalex updated_date 2026/07/28

Abstract

In this article, we address the prospects and key enabling technologies for\nhighly efficient and accurate device positioning and tracking in 5G radio\naccess networks. Building on the premises of ultra-dense networks as well as on\nthe adoption of multicarrier waveforms and antenna arrays in the access nodes\n(ANs), we first formulate extended Kalman filter (EKF)-based solutions for\ncomputationally efficient joint estimation and tracking of the time of arrival\n(ToA) and direction of arrival (DoA) of the user nodes (UNs) using uplink\nreference signals. Then, a second EKF stage is proposed in order to fuse the\nindividual DoA/ToA estimates from one or several ANs into a UN position\nestimate. Since all the processing takes place at the network side, the\ncomputing complexity and energy consumption at the UN side are kept to a\nminimum. The cascaded EKFs proposed in this article also take into account the\nunavoidable relative clock offsets between UNs and ANs, such that reliable\nclock synchronization of the access-link is obtained as a valuable by-product.\nThe proposed cascaded EKF scheme is then revised and extended to more general\nand challenging scenarios where not only the UNs have clock offsets against the\nnetwork time, but also the ANs themselves are not mutually synchronized in\ntime. Finally, comprehensive performance evaluations of the proposed solutions\non a realistic 5G network setup, building on the METIS project based outdoor\nMadrid map model together with complete ray tracing based propagation modeling,\nare provided. The obtained results clearly demonstrate that by using the\ndeveloped methods, sub-meter scale positioning and tracking accuracy of moving\ndevices is indeed technically feasible in future 5G radio access networks\noperating at sub-6GHz frequencies, despite the realistic assumptions related to\nclock offsets and potentially even under unsynchronized network elements.\n

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