Patent classifications
H04W64/006
COARSE AND FINE COMPENSATION FOR FREQUENCY ERROR
Disclosed are techniques to compensate frequency systematic known error (FSKE) in reflector or initiator radios using a hybrid RF-digital approach in multi-carrier phase-based ranging. The hybrid RF-digital approach combines a coarse frequency compensation technique in the RF domain and a fine frequency compensation technique in the digital domain to remove the FSKE across all carrier frequencies from a device. The coarse frequency compensation performed in the RF domain may use a PLL to multiply the crystal frequency to arrive close to a target carrier frequency to compensate for a coarse portion of the known FSKE at the target frequency. The fine frequency compensation may use digital techniques to remove the remaining portion of the known FSKE not compensated by the RF. The hybrid approach reduces the number of fractional bits in the multiplier of the PLL when compared to an approach that uses only the RF-PLL to remove the FSKE.
Providing user equipment (UE) location rapidly and accurately during an emergency call
A solution for providing user equipment (UE) location during an emergency call (e.g., an E911 call) includes: receiving, at a positioning node (e.g., a gateway mobile location center (GMLC)), a notification of an emergency call; requesting, by the positioning node, an approximated location of the UE; requesting, from the UE, a refined location of the UE, wherein the refined location has a higher expected accuracy than the approximated location; receiving the approximated location; based on at least the approximated location, selecting an emergency service responder point (e.g., a public safety answering point (PSAP)) from among a plurality of emergency service responder points; instructing a call routing destination of the emergency call as the selected emergency service responder point; receiving the refined location; and transmitting the refined location to the selected emergency service responder point. A rapid approximate location enables selecting the PSAP while waiting for a more accurate location report.
CONNECTED VEHICLE DATA OFFLOAD MANAGEMENT
A vehicle determines that a stop is upcoming along a route and determines that the upcoming stop will place the vehicle within range of a wireless transceiver. The vehicle approximates a predicted transfer rate of the wireless transceiver and determines if data onboard the first vehicle is to be uploaded, based on at least a size of the data, a priority assigned to the data and the predicted transfer rate. Additionally, the vehicle determines a predicted duration of communication between the vehicle and the transceiver based on the route and the upcoming stop, allowing the vehicle to determine a first predicted amount of data able to be transferred. The vehicle designates first data for upload, based on the first data having a size that is below the first predicted amount and begins transferring the designated data responsive to establishing communication with the wireless transceiver.
LOCATION-AWARE MOBILE DEVICE
One or more location-based clients can be activated on a mobile device for providing location-based services. The location-based clients can be provided with information (e.g., presets, defaults) related to the current location and/or mode of the mobile device. The information can be obtained from one or more network resources. In some implementations, a location-based client can concurrently display map and vehicle information related to a location of the mobile device.
DETERMINATION OF POSITION AND ORIENTATION OF AN INTELLIGENT REFLECTING SURFACE
Disclosed are techniques for wireless communication. In an aspect, a position estimation entity determines a set of position estimates associated with a set of user equipments (UEs), obtains first measurement information associated with a set of signals as reflected off of a target intelligent reflecting surface (IRS), determines a position estimate of the target IRS based on the set of position estimates and the first measurement information, and determines an orientation, relative to a common orientation reference frame, of the target IRS based on the set of position estimates and at least the first measurement information.
APPLICATION OF MACHINE LEARNING TO MUOS NETWORK MANAGEMENT
A system for satellite communication is disclosed. The system includes a base terminal and a mobile terminal configured to communicate via a communication satellite relay. The base terminal and the mobile terminal include a receiver and a transmitter. At least one of the base terminal or the mobile terminal further includes an artificial intelligence engine configured to receive status or instruction data based on a received signal, determine an instruction or command based on the received data, prepare instruction data or updated status data, and send an instruction signal or status signal based on the instruction data or updated status data. The artificial intelligence engine utilizes a machine learning model and may generate the machine learning model.
BEAMFORMED WIRELESS COMMUNICATIONS
A method of data transfer between a radio unit and a mobile wireless device includes obtaining a value for a measure of a location of the mobile wireless device relative to the radio unit. When the measure of the location indicates that the mobile wireless device is nearer to the radio unit than a speed-dependent threshold value, any required beam switch is made to one of a plurality of predefined wide beams for data transfer between the radio unit and the mobile wireless device. When the measure of the location indicates that the mobile wireless device is further from the radio unit than the speed-dependent threshold value, any required beam switch is made to one of a plurality of predefined narrow beams for data transfer between the radio unit and the mobile wireless device.
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, AND STORAGE MEDIUM
An information processing system includes: a first device provided with a first storage unit that stores base station topology information including base station information relating to a base station that communicates with a vehicle in a traveling route of the vehicle and information defining the traveling route along which the vehicle moves based on at least one of design information and statistical information included in the base station information, and a first processor that acquires handover information between the base station and a communication unit provided in the vehicle and stores the handover information in the first storage unit; and a second device provided with a second processor that acquires the base station topology information and the handover information from the first storage unit of the first device, associates the handover information with the base station topology information, and determines location information and movement direction information of the vehicle.
WIRELESS SIGNAL TRANSMITTER PARAMETER DETERMINATION
Methods, computer program products, and systems can include, for example: receiving a plurality of signal instances of a signal emitted by a transmitter, wherein respective signal instances of the plurality of signal instances are collected at different positions. There is also set forth herein receiving by a movable receiver moving within a first location a plurality of signal instances of a signal emitted by a transmitter, wherein signal instances defining the plurality of signal instances are collected by the moveable receiver at different respective receiver positions within the first location. There is also set forth herein discovering a direction of arrival parameter value that specifies a direction of arrival of the signal emitted by the transmitter, wherein the discovering includes using a set of signal instances from the plurality of signal instances.
Systems, methods, and devices for electronic spectrum management
Devices and methods enable optimizing a signal of interest based on identifying and analyzing the signal of interest based on radio frequency energy measurements. Signal data is compared with stored data to identify the signal of interest. Signal degradation data is calculated based on noise figure parameters, hardware parameters and environment parameters. The signal of interest is optimized based on the signal degradation data. Terrain data may also be used for optimizing the signal of interest.