Tracking devices can be associated with safe zones, smart zones, and high risk zones. Safe zones correspond to regions where a likelihood that a tracking device is lost within the safe zone is lower than outside the safe zone. High risk zones correspond to regions where a likelihood that a tracking device is lost within the high risk zone is higher than outside the high risk zone. Smart zones correspond to an expected tracking device, mobile device, or user behavior. Home areas are geographic regions in which a user resides, and travel areas are geographic regions in which a user does not reside. A tracking device can be configured to operate in a mode selected based on a presence of the tracking device within a safe zone, a smart zone, a high risk zone, a home area, or a travel area.

A method includes obtaining, by a positioning device, positioning integrity information of a terminal device from an access network device or the terminal device. The positioning integrity information indicates a positioning integrity requirement that is predicted by the access network device or the terminal device and that is of the terminal device in a first scenario. The method also includes performing, by the positioning device based on the positioning integrity information, an operation for positioning the terminal device, to meet the positioning integrity requirement of the terminal device in the first scenario.

A location control subsystem is provided that allows a user of an electronic device to define the granularity used to provide location coarseness. A user can define a coarse location granularity for an application. When a coarse device location is reported to an application, the location can be provided with at least a minimum degree of variable specificity based on the selected location coarseness. When an application is granted a coarse location, the application is to interpret the provided location indicating that the user may be anywhere within a geographic region of variable specificity, as opposed to being close to a center point with a horizontal accuracy based on the precision of the location fix, as when a fine granularity location is provided. In addition to reducing the spatial resolution of the location that is reported to the application, the temporal resolution may also be reduced.

A method comprises a first device: receiving at least one Bluetooth Low Energy message transmitted from each of at least three second devices, each Bluetooth Low Energy message including data indicating a position of the respective second device (S2); measuring a radio parameter for each of the received Bluetooth Low Energy messages (S3); using the radio parameters and the data included in the messages to calculate the position of the first device (S4); and transmitting a Bluetooth Low Energy message including data indicating the position of the first device (S5). A further method comprises a third device: receiving at least one Bluetooth Low Energy message transmitted from each of at least three devices, each Bluetooth Low Energy message including data indicating a position of the respective device; measuring a radio parameter for each of the received Bluetooth Low Energy messages; using the radio parameters and the data included in the messages to calculate the position of the third device; receiving at least one Bluetooth Low Energy message transmitted by a first device and including data indicating a position of the first device; and causing display of the position of the first device relative to the third device.

A positioning method, applied to a mobility management network element, includes when learning that a terminal device needs to be handed over from a first access network device to a second access network device, sending a first message to a location management network element, where the first message indicates to suspend positioning measurement on the terminal device, and when learning that the terminal device has been handed over to the second access network device, sending a second message to the location management network element, where the second message enables the location management network element to send a first positioning request, and the first positioning request requests to perform positioning measurement on the terminal device.

An ultra-wide band (UWB) device including a memory configured to store one or more instructions, a communications part configured to perform UWB communications with a mobile device, one or more processors configured to execute the one or more instructions to perform a ranging together with the mobile device on basis of a reception window, counts a standby counter wherein when the ranging fails, and enter a sleep mode when the standby counter is equal to or greater than a maximum standby count.

In a system a map of a site is presented on a display. A user input specifying at least one path section in the map on the display is detected. A definition of the at least one path section is stored. A representation of a radio environment stored for the site is provided as positioning assistance data. The representation of the radio environment enables a determination of a location estimate for a mobile device at the site based on at least one characteristic of at least one radio signal detected by the mobile device at the site. The definition of the at least one specified path section is provided for enabling an adjustment of a determined location estimate.

A wireless device includes a wireless antenna, a power supply, and a movement sensor, the wireless device configured for triggered sending of wireless signals to one or more receiving devices to determine location of the wireless device, and the wireless device comprising a connection for external power, a connection for programming, and a connection for self-charging.

Disclosed is an approach to enable optimized GNSS augmentation via learning at a mobile device. In particular, the mobile device could identify device-specific GNSS rescue area(s), the device-specific GNSS rescue area(s) corresponding to geographic area(s) visited by the mobile device in which (i) at least one GNSS-based position estimate is or was unavailable and (ii) the mobile device had demand for positioning data of at least a particular quality level. The mobile device could then receive, from positioning server(s), an offline radio map representing radio data only for the device-specific GNSS rescue area(s), and could store the offline radio map in a local data storage device. In turn, the mobile device could perform position estimation(s) using the offline radio map representing radio data only for the device-specific GNSS rescue area(s).

Examples described herein provide ranging by a network device during a beacon interval. Examples described herein may discover, by a network device during a first beacon interval, a plurality of APs in a network that are capable of ranging and a received signal measurement of each of the plurality of APs. Examples described herein may select, by the network device, an AP with a strongest received signal measurement among the plurality of APs, determine, by the network device, whether the selected AP is available for ranging, and based on a determination that the selected AP is available for ranging, initiate, by the network device during a second beacon interval, ranging measurements with the selected AP to generate a ranging result. Examples described herein may, based on the ranging result, resolve locations of the plurality of APs.