Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) performs a plurality of positioning measurements of a plurality of positioning reference signals (PRS) transmitted by at least one network node, transmits a first physical layer message having a fixed payload size, wherein the first physical layer message includes at least an indication of a type, a number, or both of a first set of positioning measurements of the plurality of positioning measurements to be included in a second physical layer message having a variable payload size, and transmits the second physical layer message having the variable payload size, wherein the second physical layer message includes at least the first set of positioning measurements, and wherein the variable payload size of the second physical layer message is based at least on the type, the number, or both of the first set of positioning measurements.

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.

A method for mapping underground sensors onto a network map may include obtaining a plurality of magnetic measurements from a plurality of sensors. The method may include using the plurality of magnetic measurements for determining a plurality of sensor locations in an initial network map. The method may include generating updated network maps from the perspective of each localized sensor. The method may include merging the updated network maps into a final network map, the final network map comprising a most accurate location for each sensor. The method may include determining inner localized sensors out of the plurality of sensors in the final network map. The method may include identifying the inner localized sensors as new base station anchors. The method may include mapping the inner localized sensors onto the final network map as new base station anchors.

Mobile wireless terminals, such as vehicles in traffic, can determine the relative positions of other vehicles with improved precision by arranging to acquire GNSS (global navigational satellite system) signals simultaneously, and then analyzing the various data sets differentially. Simultaneous acquisition can cancel many important errors such as motional errors of the vehicles, atmospheric distortions, and satellite timebase errors. Differential analysis to determine the relative positions of vehicles (as opposed to their overall geographical coordinates) can reduce errors related to satellite ephemeris and velocity, as well as roundoff errors. Localization with a precision of less than 1 meter can greatly improve collision avoidance while discriminating near-miss scenarios from imminent collisions, according to some embodiments. Messaging examples, in 5G and 6G, to manage the simultaneous acquisition and differential analysis, are provided in examples. Many other aspects are disclosed.

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 signal processing method includes receiving positioning reference signal (PRS) configuration information from a positioning device. A PRS is received as a PRS resource set. Each PRS resource set includes one or more PRSs. One access network device corresponds to one or more PRS resource sets. The positioning signal processing method further includes determining PRS time domain information based on the PRS configuration information. The time domain information includes a periodicity (P) of the PRS and a symbol length of the PRS in the P. The positioning signal processing method further includes receiving a plurality of PRSs based on the PRS time domain information.

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.

Mobile equipment including a geo-localization device arranged to determine a current position for the mobile equipment in a space to be mapped; a communication device arranged to communicate with access points of a local network implemented in the space to be mapped; a control component arranged: to control each access point selectively and in independent manner via the communication device so as to cause said access point to transmit a reference signal; to use the reference signals received by the communication device to evaluate respective qualities for the connections between each of the access points and the mobile equipment in the current position.

A computer-implemented method for establishing and controlling a mobile perimeter and for determining a geographic location of an RF emitting source at or within the mobile perimeter includes receiving from RF sensors in a network, processed RF emissions from the source collected at RF sensors. The RF emissions follow a wireless protocol and include frames encoding RF emitting source identification information. The method further includes extracting RF emitting source identification information from the frames, processing the source identification information to identify the RF emitting source, and classifying the RF emitting source by one or more of UAS type, UAS capabilities, and UAS model. The method also includes receiving from the RF sensors, a geographic location of each RF sensor and a time of arrival (TOA) of the RF emissions at the RF sensor; and executing a multilateration process to estimate a geographic location of the RF emitting source.