A positioning processing method applied to a base station is provided. The positioning processing method includes: receiving a first positioning reference signal from a first terminal device; receiving a second positioning reference signal from a second terminal device bound to the first terminal device; determining position information of the first terminal device based on the first positioning reference signal and the second positioning reference signal; and sending the position information to at least one of the first terminal device or he second terminal device.

A method in a vehicle for verifying an estimated position of the vehicle, the method comprising establishing a wireless link to a radio base station, RBS, 150, obtaining data from a downlink transmission on the wireless link (145) from the RBS (150) to the vehicle (100) for estimating the vehicle position, estimating the vehicle position based on the data, transmitting a request for position verification to the RBS (150), receiving a response from the RBS (150) to the transmitted request comprising a verification position estimate based at least partly on data obtained from an uplink transmission on the wireless link (145) to the RBS (150) from the vehicle (100), and verifying the estimated position of the vehicle (100) by comparing the estimated vehicle position to the verification position estimate.

A base station of a 5G/6G network can include its location coordinates in the SSB system information message which is broadcast on a standard frequency periodically. A mobile user device can receive the SSB and thereby determine the base station location. Thereafter, the user device can measure its own location, speed, and direction of travel, and thereby calculate a Doppler frequency correction before transmitting a message to the base station, thus causing the base station to receive the message at the expected standard frequency. In addition, the user device can calculate, based on the location of the base station relative to the direction of travel of the mobile user device, a particular frequency at which downlink messages from the base station will be received. In addition, the user device can pre-emptively adjust its transmission frequency when changing speed or direction, thereby avoiding wasteful frequency-correction messages from the base station.

A building management system and method for sensor time correction is described. The system comprises multiple sensors and an energy manager communicating with the sensors. The sensors, distributed within a particular area, provide multiple time measurements in response to detecting an object traversing among the sensors in which the time measurements are associated with unsynchronized time. The energy manager identifies a predicted time for traversing among the sensors based on one or more distances between pairs of sensors and an average velocity of the object to traverse among the sensors. The energy manager determines a sensor time error for each sensor by cross-correlating the time measurements with the predicted time.

The present disclosure discloses a position configuration method, a terminal device, and a network device. The position configuration method includes: determining position configuration information, where the position configuration information includes at least one of position shift information and position indication information; and determining a target position based on the position configuration information.

An indoor geolocation system for determining a location in three-dimensional space includes a plurality of base stations and a mobile device movable about an indoor environment in three dimensions. The mobile device detects electromagnetic signals in the indoor environment emitted by devices other than the base stations, and generates a signal profile based on the signals. The mobile device transmits the signal profile to one or more of the base stations, which forward the signal profile to a remote server. The system determines a location of the in three-dimensional space of the mobile device by comparing the signal profile to data regarding signal profiles at a plurality of locations in the indoor environment. The data regarding signal profiles in the indoor environment may have been captured by a detection device other than the mobile device at a time prior to the detection of the electromagnetic signals by the mobile device.

This application discloses a positioning processing method and apparatus, and a device, and relates to the field of communications technologies. The method is applied to a terminal, and includes: transmitting first signaling to a target cell, where the first signaling is used for activating or deactivating transmission of a positioning-related signal by the target cell of the terminal; and the target cell includes a serving cell and/or a neighboring cell of the terminal.

Aspects described herein may allow for vehicle tracking. Systems and methods described herein may allow a vehicle to automatically detect the presence of a physical marker at a parking space. An image of the physical marker may be processed to determine the location of the vehicle, which may be stored and/or output for display.

For improved messaging reliability in 5G and 6G, mobile users and their base stations can adjust their transmission power according to the current location of the mobile user. Each entity can maintain a map of known attenuation values, including “dead zones”, and can adjust their transmission power and/or reception gain to compensate. Instead of constantly exchanging location-update messages, the users can indicate their speed and direction, and the base station (or other users) can extrapolate the location versus time to determine a future location, and thereby determine the attenuation factor at the new position. In addition, the base station can use a map to follow the mobile user device's progress, and can thereby update the attenuation factor in real-time. If the mobile user makes a change, it can inform the base station at that time, or during initial access. Result: improved reliability, lower energy consumption, improved traffic safety.

In a wireless network that includes mobile users (such as vehicles), the signal quality is constantly changing due to changing distances from the base station, variable attenuation factors such as passing obstructions, and beamforming in 5G and 6G networks. An automatic algorithm can compensate for transmission variations by adjusting the transmission power of the base station and/or the mobile user device, to account for the current location and motion of the mobile user device. The radio attenuation factor can be measured throughout the base station's region, and the attenuation map can be used to boost downlink power to vehicles in dead zones, while saving power in regions of good receptivity. The base station can thereby maintain the expected QoS despite motions. An AI model may be used to select the optimal power level.