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.

Systems and methods are provided for a network node in a wireless communication network for generating an estimated location of a user equipment (UE). The method includes: receiving a request positioning message, determining the estimated location of the UE using a positioning technique, and adjusting the estimated location of the UE based on one or more spatial distribution probabilities associated with one or more locations in a vicinity of the estimated location.

An edge device includes a first antenna array and control circuitry that activates a sensing function to sense a surrounding area of the edge device. The control tracks a position of the first UE in motion from the edge device and further executes beamforming to direct a first beam of RF signal having a signal strength greater than a threshold to the first UE in motion, based on the track of the position of the first UE for high-performance communication.

A method of determining a relative location of one or more access controls is provided. The method including: detecting a first wireless signal from a first access control; determining a unique device identifier (UDID) for the first access control in response to the first wireless signal; determining a received signal strength indicator (RSSI) of the first wireless signal; and generating a location fingerprint to associate the RSSI of the first wireless signal with the UDID for the first access control.

A device, in a training phase, obtains Channel State Information (CSI) for one or more links between another device and at least one Access Point (AP), and in the training phase, estimates location information of the other device based on at least one geometric localization technique; and generates a database comprising CSI of the one or more links, each CSI being associated with an estimated location information. Further, a device, in a testing phase, obtains a database from another device, wherein the database comprises CSI of one or more links, each CSI being associated with an estimated location information, and in the testing phase, the device estimates CSI for one or more links between the device and at least one AP, and determine location information based on the estimated CSI of the one or more links and the database.

Examples herein involve estimating a first position of a mobile device based on first communication signals, assigning a first set of particles to a number of respective first sampling locations within a threshold distance of the first position, adjusting the assignment of the first set of particles to second sampling locations based on movement of the mobile device, and estimating a second position of the mobile device based on the second sampling locations.

Systems, methods, and apparatus are provided for automated identification of open space in a wireless communications spectrum, by identifying sources of signal emission in the spectrum by automatically detecting signals, analyzing signals, comparing signal data to historical and reference data, creating corresponding signal profiles, and determining information about the open space based upon the measured and analyzed data in near real-time.

Systems and methods for WiFi mapping an industrial facility are disclosed. The system comprises a self-driving vehicle having a WiFi transceiver. The self-driving vehicle communicates with a fleet-management using the WiFi transceiver, via a WiFi access point. The self-driving vehicle receives a mission from the fleet-management system, and moves to a destination location based on the mission, using autonomous navigation. While executing the mission, the self-driving vehicle simultaneously measures the received signal strength indication of the WiFi access point and other WiFi access points in the facility, and stores the received signal strength indication in association with the location at which the received signal strength indication was measured.

In a wireless network in which beams are transmitted by base stations, a beam relation database may be produced by crowdsourcing known positions of UEs and associated information related to beams received by the UEs at these positions. The beam information, for example, may include a beam identifier and cell identifier, and may further include measured signal parameters, such as Reference Signal Received Power (RSRP) or Reference Signal Received Quality (RSRQ). The beam relation database may be used by a network or the UE to determine a position of a UE based on beams that are detected by the UE. The position fix may be an initial position fix that may be used to generate assistance data for the UE. Additionally, the beam relation database may be used to identify relevant measurement objects in the assistance data based on beams that are detected by the UE.

Provided are asset tracking systems for determining a location of an asset, comprising a mobile device comprising one or more detection antennas and a transmitter, and a device associated with an asset and emitting Bluetooth low energy signals, wherein the system is configured to: detect a plurality of electromagnetic signals of the environment and one or more Bluetooth low energy signals from the one or more Bluetooth low energy devices; generate a signal profile based on the plurality of electromagnetic signals; determine, based on a comparison of the signal profile to data of signal profiles at a plurality of locations in the environment, a mobile-device location in the environment; and determine, based on the mobile-device location and based on the one or more Bluetooth low energy signals, one or more asset locations in the environment.