A method for operating a network node (100) in a wireless communication network is provided. The method comprises transmitting at least one beamformed signal (20-27). Each one of the at least one beamformed signal (20-27) is indicative of a respective positioning information. The respective positioning information is indicative of a respective virtual reference point (40-47) which is offset from a position of a transmit point (50) of the wireless communication network used for transmitting the at least one beamformed signal (20-27). The beamformed signal (20-27) is suitable for enabling a positioning measurement of a wireless communication device (200).

A computer-implemented method for combined indoor and outdoor tracking using a tracking device is disclosed. In at least one embodiment of the method, a fingerprint of radio signals is generated by the device at a location to be determined. The location of the device is determined by applying trained functions to the fingerprint wherein the trained functions have been end-to-end trained using a plurality of fingerprints generated at known locations. Environmental sensor data may be used to predict a lifetime of a component tracked by the tracking device.

An interference detection system in a network identifies a first wireless station that has experienced radio frequency (RF) interference from an unknown source on at least one physical resource block (PRB) and identifies one or more second wireless stations that have experienced similar interference on the at least one PRB. A plurality of estimated interference source locations are determined based at least on geographic locations of the first wireless station and the one or more second wireless stations. The plurality of estimated interference source locations are scored based on a comparison of estimate interference to observed interference at the one or more second wireless stations and a geographical map is generated based on the scored plurality of estimated interference source locations, wherein the geographical map includes indicia indicative of the relative scores of the plurality of estimated interference source locations.

Disclosed is an approach to enable radio map download for Global Navigation Satellite System (GNSS)-denied areas. In particular, processor(s) (e.g., of positioning server(s)) could identify GNSS-denied area(s) in an initial radio map, the GNSS-denied area(s) being (i) one or more areas in which at least one GNSS signal is or was unavailable and (ii) a subset of a plurality of areas represented by the initial radio map. Subsequently, the processor(s) could generate a partial radio map representing radio data only for the GNSS-denied area(s) identified in the initial radio map, and could then transmit the partial radio map to a mobile device for storage at the mobile device. In this way, the mobile device could optimize resource usage and perform radio-based position estimations at least in the GNSS-denied area(s) that were identified.

It is disclosed a method comprising one or more of the following: a first determining whether or not at least one characteristic that has been derived from a coverage map being representative of respective coverage areas of a plurality of beacons deployed in an area is affected at least by a count of the beacons deployed in the area and to their respective positions and affects an accuracy of a positioning of one or more terminals located in the area that is at least based on the coverage map and on respective fingerprints provided by the one or more terminals, is considered at least partially insufficient, and a providing, in case the first determining has come to an affirmative result, of first information on the at least one characteristic considered at least partially insufficient and/or on instances that at least contributed to the at least one characteristic being considered at least partially insufficient; a second determining, at least based on one or more fingerprints received from one or more terminals, whether or not an existing coverage map for an area can still be considered to be representative of respective coverage areas of a plurality of beacons deployed in the area, and a providing, in case the second determining has come to an affirmative result, of second information indicative of the result and/or indicative of why the existing coverage map is no longer considered to be representative of the respective coverage areas of the plurality of beacons deployed in the area; a third determining whether or not a status of a beacon on which information is transmitted by the beacon and received and provided by a terminal is considered improvable, and a providing, in case the third determining has come to an affirmative result, of third information on the beacon and/or on the status of the beacon; a deriving, from a coverage map that is representative of respective coverage areas of a plurality of beacons deployed in an area, of respective positions of one or more of the beacons, and a providing of fourth information representative of one or more of the derived respective positions of the one or more beacons.

A network system uses Wi-Fi signals or other types of short-range transmissions to determine pickup locations for users receiving services provided via the network system. The network system builds a database of search records mapping pickup locations to signatures of short-range transmission detected by users' client devices when they searched for the pickup locations. By comparing a signature detected by a given user's client device to the signatures in the database, the network system can check for similarities between the short-range transmissions. Responsive to finding a match, the network system predicts that the given user is likely to select a similar pickup location as other users whose client devices detected the signatures corresponding to the match. Accordingly, by leveraging the database, the network system can predict pickup locations without requiring the given user to input a search for a pickup location.

Disclosed are techniques for positioning. In an aspect, a network entity receives, from at least one network node, a measurement report including one or more radio frequency fingerprint (RFFP) measurements, wherein the one or more RFFP measurements include at least one RFFP measurement of at least one sidelink channel between a first user equipment (UE) and a second UE, determines one or more locations of a target UE based on the one or more RFFP measurements and a machine learning module, wherein the machine learning module is trained based on previously collected RFFP measurements of one or more downlink channels, RFFP measurements of one or more uplink channels, RFFP measurements of one or more sidelink channels, locations of one or more sidelink anchor UEs, locations of one or more base stations, or any combination thereof.

An indoor positioning method based on image visual features. A Wi-Fi signal strength value of a Wi-Fi tag closest to a current location of a mobile device is matched with a signal strength list in a map database to obtain a first location of a first Wi-Fi tag with the greatest matching degree. A SURF descriptor of an image of the Wi-Fi tag closest to the current location of the mobile device is matched with SURF descriptors recorded in the signal strength list in the map database to discover an image of a Wi-Fi tag with the greatest matching degree, thereby obtaining a second location of a second Wi-Fi tag corresponding to the image of the Wi-Fi tag with the greatest matching degree. A three location of a three Wi-Fi tag is obtained according to a homography matrix corresponding to the image of the Wi-Fi tag with the largest matching degree and an empirical value of a positioning error. Positioning information of the mobile device is obtained according to the first location, the second location and the third location.

A system and method for tracking actions of mobile assets used to perform a process within a facility includes a plurality of object trackers positioned throughout the facility to monitor, detect and digitize locations and actions, including movement, of a mobile asset within the facility. The mobile asset includes an identifier which is detectable by each object tracker to track the movement and location of the detected asset in real time. Each object tracker includes at least one sensor for monitoring and detecting the asset and its identifier, where the input sensed by the sensor is transmitted to a computer within the object tracker for time stamping with a detected time, and processing of the sensor input using one or more algorithms to identify the asset type associated with the detected identifier, and the asset's location in the facility at the detected time.

An apparatus and system are described to provide indoor positioning and movement information using a private next generation (NG) network. A heatmap of pathloss vs distance from a remote radio unit (RRU) is provided from the UE and federated with other heatmaps from different UEs under similar conditions. The federated heatmap is provided to the UE. A private location server containing an AI module is trained using data from the UEs. The location and movement of the UE is determined to a particular pixel based on the heatmap. WiFi reference points (RP) are used if multiple pixels satisfy data of the heatmap.