The present disclosure relates to a positioning method in a wireless communication system and a device supporting same.

A computer-implemented method comprising: determining a respective location of each of one or more client devices at a given time, comprising, for each of the one or more client devices: estimating a location of the client device at the given time, comprising: receiving an indication that one or more detectors of a plurality of detectors received one or more wireless signals from the client device at the given time; and estimating the location of the client device based on respective locations of each of the one or more detectors; obtaining an indication of a scheduled allocation of one or more resources at or within a predetermined range of the given time; determining that the estimated location of the client device is proximate to a usage location of the one or more resources; and determining the location of the client device at the given time based on the usage location.

A method of a base station in a mobile communication system is provided, which includes receiving position information of at least one UE; determining an initial position of a UAV based on the position information; transmitting, to the UAV, control information related to the initial position and association information between the at least one UE and the UAV; receiving, from the UAV, first feature information related to a communication state between the at least one UE and the UAV; and transmitting control information related to a movement position of the UAV based on an output of a reinforced learning network to which the first feature information is input.

Described herein are techniques to enable a mobile device to determine a Z-axis coordinate based on altitudes associated with Wi-Fi access points detected in a Wi-Fi scan by the mobile device. One embodiment provides for an electronic device configured to compute a weighted average of Z-axis coordinates associated with detected Wi-Fi access points and determine a Z-axis coordinate for the electronic device based on the weighted average.

A method of a base station in a mobile communication system is provided, which includes receiving position information of at least one UE; determining an initial position of a UAV based on the position information; transmitting, to the UAV, control information related to the initial position and association information between the at least one UE and the UAV; receiving, from the UAV, first feature information related to a communication state between the at least one UE and the UAV; and transmitting control information related to a movement position of the UAV based on an output of a reinforced learning network to which the first feature information is input.

There are provided mechanisms for position determination using a sidelink. A method is performed by a first terminal device. The method includes receiving, via the sidelink to a second terminal device, positioning information of the second terminal device. The method includes determining its own position from the positioning information.

A method for geolocating a terminal of a wireless communication system from measurements of a parameter representative of a radio signal exchanged between the terminal and base stations of the communication system. The method uses fixed base stations and a mobile base station which is displaced in a determined search area. During a predefined search period, the terminal emits several radio signals to the fixed base stations and the mobile base station. A precise geographical position can then be determined, on the one hand, from the measurements carried out during the search period for the different base stations, and on the other hand, from the geographical positions of the fixed base stations and from the geographical positions of the mobile base station at the different times of emission of the radio signals by the terminal.

Methods, systems, and devices for wireless communications are described. A base station may request a user equipment (UE) to report location information for the UE using a specific format. The UE may report the location information to the base station based on the request. The base station may use the location information reported by the UE to determine the location of the UE.

Disclosed are examples of a method, system and asset tag that enables general, coarse and fine estimates of a location of the asset tag. The asset tag receives a signal transmitted from radio frequency (RF)-enabled nodes within a space. Each respective received signal includes a unique node identifier of the respective RF node that transmitted the respective received radio signal. Each RF node has a physical node location in the space that is associated with the unique node identifier. The tag measures the received signal strength of each respective received signal that is associated with the node identifier of the RF node that transmitted the respective received signal. The strongest measured received signal strengths are selected, and a tuple containing the node identifiers for the selected strongest signal strengths is forwarded for estimating a location of the asset tag by a computing device.

Described herein are techniques to enable a mobile device to determine a Z-axis coordinate based on altitudes associated with Wi-Fi access points detected in a Wi-Fi scan by the mobile device. One embodiment provides for an electronic device configured to compute a weighted average of Z-axis coordinates associated with detected Wi-Fi access points and determine a Z-axis coordinate for the electronic device based on the weighted average.