A technique for determining a list of neighbouring radio resources from signal strength measurements taken by mobile terminals is presented. Two or more signal strength measurements taken by the same mobile terminal at substantially the same time are grouped to a data set that associates, for each of two or more different radio resources of a given radio resource type, a measured signal strength with an identifier of the measured radio resource. An apparatus implementation of the technique presented herein is configured to analyze, using a similarity metric, similarity of a plurality of data sets. The apparatus is further configured to cluster the data sets, or information derived therefrom, based on data sets similarity so as to obtain multiple clusters representative of different radio locations and to determine, from each cluster, a radio resource set that defines a list of neighbouring radio resources for the radio location represented by that cluster. technique for determining neighbouring radio resources based on signal strength measurements

A positioning method is disclosed, including: collecting a location fingerprint; searching by using the CellID of the first base station, an offline fingerprint database for a first offline fingerprint that matches the CellID of the first base station, where the offline fingerprint database is stored in the terminal device, and the offline fingerprint database is configured to manage a plurality of offline fingerprints; searching based on a reference point location in the first offline fingerprint and the channel parameters of the Q neighboring cell base stations, the offline fingerprint database for a plurality of second offline fingerprints that meet a first condition; and determining a location of the terminal device based on a signal identifier and the reference point location in the first offline fingerprint, signal identifiers and reference point locations in the plurality of second offline fingerprints, and the Q+1 signal identifiers in the location fingerprint.

Techniques are disclosed for determining a location of a mobile device within an area of interest. One example computing system includes a processor configured to: obtain location information for areas of interest from a first device, the location information comprising signal strength readings associated with signal sources; receive a location request from a second device, the location request comprising signal strength readings associated with a current position of the second device; determine, using a machine learning model, the current position corresponds to a fingerprint within a location map, wherein the machine learning model is trained to: (i) generate the location map comprising fingerprints based on the location information; and (ii) determine a location based on a probability that a position matches a fingerprint in the location map; and determine that the current position corresponds to the fingerprint; and generate display information that includes the location of the fingerprint.

A method for locating an object in a plane that includes a first so-called learning phase for informing a database, and a second so-called location phase, the location phase using a classifier operating using the database comprising information representing the transmission of signals between the object and antennas, for determining a probability of location of the object in zones of the plane, the location phase further using a neural network, for determining, for the zone of the plane for which the location probability is the highest, the position of the object in the form of coordinates in the plane. The invention also relates to a location device implementing the method.

A positioning support device holds available stored data which enables a determination of characteristics of radio signals transmitted by the positioning support device, wherein the characteristics of radio signals are expected to be observable at different locations. The positioning support device automatically and repeatedly transmits the stored data. Mobile devices may receive the data to estimate their position based on the data and based on measurements on radio signals received at their current location. The positioning support device may be caused by some other apparatus to store the data that is transmitted by the positioning support device. The data may be obtained based on characteristics of radio signals observed by at least one mobile device at each of a plurality of measurement locations.

A system for determining a position of a user in a building includes a control device, a plurality of stationary radio signal transmission devices, a radio signal receiving device, and a signal processing device. The signal processing device determines primary channel impulse responses based on the radio signals received by the receiving device. The signal processing device also determines a secondary channel impulse response based on a secondary radio signal received by the receiving device from a mobile device of a user. The channel impulse responses are evaluated to determine degrees of similarity that indicate how similar a first primary channel impulse response and the secondary channel impulse response are to one another. For each degree of similarity, a distance of the mobile device from the transmission device corresponding to the degree of similarity is determined. A position of the mobile device is determined based on the distances.

In some embodiments, a computing system maintains, in a memory, information on one or more terminal devices, a dictionary of beams and information on a spatial grid. The computing system maps each terminal device to the spatial grid based on up-to-date results of radio measurements and calculates, for each spatial element, a load caused by the one or more terminal devices based on the mapping. The computing system evaluates, for each combination of a beam and a terminal device, a reference signal received power, RSRP, based on results of the radio measurements. The computing system calculates a first map of expected spatial distribution of traffic based on the calculated loads and beam-specific second maps of expected RSRP based on the values of the RSRP. Finally, the computing system causes performing beamforming optimization based on the first map and second maps.

A method is disclosed that includes obtaining payment-related data being associated with a short-range payment transaction of a mobile payment entity, and determining a location estimate of the mobile payment entity at least partially based on the payment-related data and point of interest data. A corresponding apparatus and computer readable storage medium are also disclosed.

In some embodiments, a computing system maintains, in a memory, information on one or more terminal devices, a dictionary of beams and information on a spatial grid. The computing system maps each terminal device to the spatial grid based on up-to-date results of radio measurements and calculates, for each spatial element, a load caused by the one or more terminal devices based on the mapping. The computing system evaluates, for each combination of a beam and a terminal device, a reference signal received power, RSRP, based on results of the radio measurements. The computing system calculates a first map of expected spatial distribution of traffic based on the calculated loads and beam-specific second maps of expected RSRP based on the values of the RSRP. Finally, the computing system causes performing beamforming optimization based on the first map and second maps.

A method implemented at a location server is proposed. The method comprises: deciding inter-frequency measurement information for positioning a user equipment, UE, wherein the inter-frequency measurement information comprises at least one frequency other than a frequency of a serving cell of the UE; sending a first measurement request containing the inter-frequency measurement information to an access node of the serving cell; receiving a first measurement result from the access node; and determining a position of the UE based on the measurement result.