A method includes, by a mobile device, receiving a Global Navigation Satellite System (GNSS) signal, and receiving, from a wireless device, via a PC5 interface, a message including a location of a reference structure, a calculated location of the mobile device, or a combination thereof. The method also includes determine whether the GNSS signal is a spoofing signal based on: a spoof indication of the GNSS signal, and whether a difference between a location of the mobile device determined based on the GNSS signal and one of the location of the reference structure, the calculated location of the mobile device, or a location of the mobile device determined based on the location of the reference structure is greater than a threshold value.

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.

This application provides a method. The method includes: A positioning management device receives first information sent by a terminal device, where the first information includes a plurality of antenna identifiers of the terminal device and local antenna coordinates corresponding to each antenna identifier. The positioning management device receives measurement information sent by the terminal device, where the measurement information includes the plurality of antenna identifiers of the terminal device and a measurement result that is of a downlink reference signal and that corresponds to each antenna identifier. The positioning management device determines positioning information of the terminal device based on the first information and the measurement information, where the positioning information includes one or more of the following information: absolute coordinates of the terminal device, orientation or posture information of the terminal device, a rotation angle of the terminal device, or uptilt and downtilt angles of the terminal device.

Some embodiments include methods performed by a processor associated with a wireless communication device for enabling an unmanned autonomous vehicle (UAV) to operate in an automatic user tracking mode. Such embodiments may include capturing image data of surroundings by a camera while the UAV is operating in the automatic user tracking mode, calculating estimated position information for the wireless communication device based on captured image data, and transmitting estimated position information to the UAV for use in tracking a user of the wireless communication device. Some embodiments include methods performed by a processor of a UAV for enabling the UAV to automatically follow a user. Such embodiments may include calculating a current position of the UAV, receiving from a user's wireless communication device estimated position information derived from image data captured by a camera of the wireless communication device, and determining whether an update to the UAV motion is required.

A geolocationing system and method for providing awareness in a multi-space environment, such as a hospitality environment or educational environment, are presented. In one embodiment of the geolocationing system, a vertical and horizontal array of gateway devices is provided. Each gateway device includes a gateway device identification providing an accurately-known fixed location within the multi-space environment. Each gateway device includes a wireless transceiver that receives a beacon signal from a proximate wireless-enabled personal locator device. The gateway devices, in turn, send gateway signals to a server system having a redundant architecture, which determines estimated location of the wireless-enabled personal locator device.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first wireless communication device may determine, based at least in part on a first model, an estimated position of the first wireless communication device. The first wireless communication device may determine, based at least in part on a second model, an estimated direction for transmission of a packet to a second wireless communication device. The first wireless communication device may determine, based at least in part on a third model, an estimated transmit power for transmission of the packet. The first wireless communication device may determine, using a neural network, a narrow beam based at least in part on the estimated position, the estimated direction, and the estimated transmit power. The first wireless communication device may transmit the packet on the narrow beam to the second wireless communication device. Numerous other aspects are provided.

A navigation system for a motor vehicle includes: an off-board navigation system spatially separated from the motor vehicle, for calculating a suggested route for the motor vehicle; a wireless communication connection between the off-board navigation system and the motor vehicle, for transmitting the suggested route to the motor vehicle; and a man-machine interface arranged in the motor vehicle, for outputting the suggested route to an operator of the motor vehicle.

Apparatuses and methods are disclosed. A method comprising: receiving (702) one or more criteria, from a location server, related to one or more properties of at least one measurement used for position estimation; receiving (704) a measurement request to perform the at least one measurement; performing (706) the at least one measurement based on the measurement request; determining (708) whether the at least one measurement satisfies the one or more criteria; and determining (710) a measurement reporting mode based on whether the at least one measurement satisfies the one or more criteria in the absence of the location server specifying a measurement reporting mode.

In one general aspect, RF localization methods and systems are disclosed. An exemplary method includes providing a node having a communications device and antenna elements; capturing, via the communications device, a relative signal strength indicator (RSSI) value for each antenna element to generate cardinal RSSI values associated with a RF signal; and determining, using the cardinal RSSI values, a position of a RF source of interest (RFSOI) relative to the node. The antenna elements are oriented in each nodal cardinal direction and conductively coupled to the communications device. The RF signal emanates from the RFSOI. Capturing the RSSI value for each antenna element may include causing a RF switch to successively activate the antenna elements in a predetermined order; capturing the RSSI value of each antenna element when activated; and determining at least two cardinal RSSI values that are greater than a predetermined amount thereby determining antenna elements of interest.

An infrastructure and methodologies to support automated lost and found pet alerts based on geo-proximity and other criteria. In various embodiments, a pet/dog owner initiates a lost pet alert by entering location and lost pet report information via a downloadable application. This information is processed and stored in a database maintained by a cloud/remote server. The server identifies potential recipients for a lost pet alert and transmits alerts for display on user devices meeting select criteria such as proximity thresholds. Upon receiving a found pet report, the server sends an automated found pet notice to the owner of the animal and other users meeting predetermined criteria. Curated listings of lost and found pet notifications may also be maintained for selective presentation on user devices.