A machine learning method performed by a communication network monitoring device in which an incoming signaling record is received that includes radio signal attributes from a UE in the cellular communication network. A determination is made as to whether the UE incoming signaling record contains location (GPS) data. If the UE incoming signaling record contains GPS data, a machine learning model is generated for determining a location of future UEs in the communication network utilizing the GPS data and the radio signal attributes from the incoming UE signaling record. And if GPS data is not included in the UE incoming signaling record, then first a corrected TA value is determined which is then used, along with other radio signal attributes of the UE, to determine/predict a geolocation for the UE using machine learning techniques.

A global resource locator (GRL) device can be used to track a physical asset. The GRL device can a semiconductor chip with a processor and a timing device. The semiconductor chip can generate a timing signal. The GRL device can include a blockchain, a communication device, and a memory in logical communication with the processor. The memory can store an identifier, a public key, a private key, and a hash. The communication device can communicate wirelessly with an authenticated radio source, the micro sized timing device, and the blockchain. Each authenticated radio source can be located at a respective reference location. The communication device can receive wireless timing signals from at least three authenticated radio sources. The GRL device can be affixed to a product.

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.

A positioning system comprising a processing system (7; 9) configured to receive a first position estimate for a mobile device (7), and to receive data representative of an acoustic signal received by the mobile device (7) from one of a plurality of acoustic transmitter units (2, 3, 4, 5). For each of the acoustic transmitter units (2, 3, 4, 5), the processing system (7; 9) determines spatial likelihood data representative of a likelihood of the received acoustic signal having been transmitted by the respective acoustic transmitter unit by comparing a time-of-flight range value with a geometric distance value, representative of a distance between the acoustic transmitter unit and the first position estimate. The processing system (7; 9) processes the spatial likelihood data to identify a subset of the acoustic transmitter units, and processes information relating to the positions of the acoustic transmitter units in the identified subset and/or relating to the acoustic signals transmitted by the acoustic transmitter units in the identified subset, to determine a second position estimate for the mobile device (7).

Presented are intelligent electronic footwear and apparel with controller-automated features, methods for making/operating such footwear and apparel, and control systems for executing automated features of such footwear and apparel. A method for operating an intelligent electronic shoe (IES) includes receiving, e.g., via a controller through a wireless communications device from a GPS satellite service, location data of a user. The controller also receives, e.g., from a backend server-class computer or other remote computing node, location data for a target object or site, such as a virtual shoe hidden at a virtual spot. The controller retrieves or predicts path plan data including a derived route for traversing from the user's location to the target's location within a geographic area. The controller then transmits command signals to a navigation alert system mounted to the IES's shoe structure to output visual, audio, and/or tactile cues that guide the user along the derived route.

A system is for determining a position on a golf course. The system has a master unit and at least one slave unit. The master unit and the at least one slave unit are adapted to communicate through a telecommunications network. The master unit comprises a receiver for a satellite navigation system, the receiver being operable at a fixed position on the golf course. The master unit is configured to: obtain a position determined by the receiver; process the displacement between the obtained position and the fixed position; and make the processed displacement available to the at least one slave unit through the telecommunications network. A slave unit then makes use of the processed displacement to improve positions determined by itself.

A system for determining the location of a wireless device is described, the system includes a map, a fixed beacon, a fixed sensor and a server component. The server component receives a beacon identifier and a beacon signal strength from a wireless device. A sensor is located on the map. The fixed sensor receives the beacon identifier and the sensor captures a measured sensor beacon signal strength. The sensor is communicatively coupled to the server component. The server component receives the beacon identifier and the measured sensor beacon signal strength from the fixed sensor. The server component uses the beacon identifier and the beacon signal strength communicated by the wireless device and the sensor beacon signal strength and the beacon identifier received by the sensor to determine the location of the wireless device.

The present disclosure provides a communication device for wireless communication systems and a communication method for the communication device. The communication device includes: one or more processors, configured to determine information of a reference geographical location used for the communication device, and generate, based on the information of the reference geographical location and a current absolute geographical location of the communication device, information of a relative geographical location of the communication device with respect to the reference geographical location; and a communication unit, configured to transmit the information of the relative geographical location to a predetermined communication object.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

Systems and methods for route management are disclosed. A system for use with a communication network includes an electronic logging device, a global positioning device, and a server. The server communicates via a communication network and to access vehicle data and global positioning data via the communication network. The server includes a processor(s) and a non-transitory computer-readable medium storing instructions thereon, that when executed by the one or more processors, cause the processor(s) to: analyze the vehicle data to identify start-and-stop events of the vehicle; analyze each of the start-and-stop events with respect to criteria to identify which of the start-and-stop events is associated with an actual visit event; identify the locations and the times from the global positioning data that correspond to the actual visit events; and correlate the locations and the times of the vehicle with the respective ones of the actual visit events.