LOCUS: Localization and analytics on-demand embedded in the 5G ecosystem

Abstract

Location information and context-awareness are essential for a variety of existing and emerging 5G-based applications. Nevertheless, navigation satellite systems are denied in indoor environments, current cellular systems fail to provide highaccuracy localization, and other local localization technologies (e.g., Wi-Fi or Bluetooth) imply high deployment, maintenance and integration costs. Raw spatiotemporal data are not sufficient by themselves and need to be integrated with tools for the analysis of the behavior of physical targets, to extract relevant features of interests. In this paper, we present LOCUS, an H2020 project (https://www.locus-project.eu/) funded by the European Commission, aiming at the design and implementation of an innovative location management layered platform which will be able to: i) improve localization accuracy, close to theoretical bounds, as well as localization security and privacy, ii) extend localization with physical analytics, iii) extract value out from the combined interaction of localization and analytics, while guaranteeing users' privacy.

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

“…This technology is based on cellular base-stations, which provide a long coverage area. Here, there are four standards used in the current studies 2G, 3G, 4G, and in last years 5G [ 74 , 96 , 108 ]. The improvements of each standard along the years permit to achieve better position estimation.…”

Pencil Beamforming Increases Human Exposure to ElectroMagnetic Fields: True or False?

“…Finally, the last parameter to be set is the localization uncertainty level . Rather than imposing a single value, we consider a range between few meters up to dozen meters, due to the following constraints: i) a localization horizontal error from sub-meter to few meters, in accordance with [17], [18], ii) the impact of user mobility and localization data age; in simple words, the activation/deactivation of the beams is performed with a rate consistently lower than the localization update rate, thus requiring values higher than the localization error in i). As a result, we set = {2, 4, 8, 16, 20} [m].…”

“…In other words, each pencil beam is focused towards the center of the circular area including each user. In order to obtain the circular area for each UE, we assume the availability of a localization platform (see e.g., [17], [18]), which adopts localization and tracking algorithms to estimate the UE positioning. 4) Beam width tuning: The tuning of the beam widths for each antenna array is done by jointly considering the size of the circular area and the worst case scenario, i.e., the closest UE to the gNB.…”

Location-Aware Wireless Resource Allocation in Industrial-Like Environment

“…In this regard, location-aware network management has the potential to deliver a resilient network that could rapidly identifies network issues as well as optimise the service performance. In particular, having accurate mechanisms for mobile localization is the key to guarantee seamless connectivity and introduce new services [7].…”