Patent classifications
H04B17/26
Method and device for checking the operation of an electronic device
A method for checking the operation of an electronic device configured to transmit signals via a radio communication channel is implemented by a checking device. The method includes: receiving, on the radio communication channel, a signal from the electronic device; and determining the operation of the electronic device based on noise present in the received signal.
Systems and methods for wireless signal configuration by a neural network
A wireless network can generate candidate signal configurations for physical transmissions to or from a user equipment (UE) in a radio environment. The generation of candidate signal configurations can be performed using a first neural network that is associated with the UE. These signal configurations can then be evaluated using a second neural network that is associated with the radio environment. The second neural network can be trained using measurements from previous physical transmissions in the radio environment. The trained second neural network generates a reward value that is associated with the candidate signal configurations. The first neural network is then trained using the reward values from the second neural network to produce improved candidate signal configurations. When a signal configuration that produces a suitable reward value is generated, this signal configuration can be used for the physical transmission in the radio environment.
Systems and methods for wireless signal configuration by a neural network
A wireless network can generate candidate signal configurations for physical transmissions to or from a user equipment (UE) in a radio environment. The generation of candidate signal configurations can be performed using a first neural network that is associated with the UE. These signal configurations can then be evaluated using a second neural network that is associated with the radio environment. The second neural network can be trained using measurements from previous physical transmissions in the radio environment. The trained second neural network generates a reward value that is associated with the candidate signal configurations. The first neural network is then trained using the reward values from the second neural network to produce improved candidate signal configurations. When a signal configuration that produces a suitable reward value is generated, this signal configuration can be used for the physical transmission in the radio environment.
Communication terminal and communication system
A communication terminal capable of at least millimeter-wave communication and microwave communication is provided. The communication terminal includes a repeater that relays communication between a first communication terminal and a second communication terminal by using millimeter-wave communication. Such a communication terminal is capable of maintaining good millimeter-wave communication between terminals.
Crowd sourced multi-stage mobile device fingerprint based navigation
A method and system for deploying a calibrated positioning map of an area. The method, executed in a processor of a server computing device, comprises deploying a crowd sourced magnetic fingerprint map for mobile device localization during traversal of the indoor area, accumulating received signal strength (RSS) measurements in forming a RSS fingerprint map using crowd sourced RSS measurements during the deploying, and switching, responsive to identifying desirability of a change in the mobile device localization within the indoor area, from the crowd sourced magnetic fingerprint map to the RSS fingerprint map as basis for localizing the mobile device.
Sidelink measurements in V2X communication
Methods and apparatuses in a wireless communication system. A method of operating a user equipment (UE) includes storing a previous layer 3 (L3) filtered measurement result; receiving L3 filtering configuration information including a first filter coefficient value (k) and a first filtering window value; identifying a generation time instance of the previous L3 filtered measurement result; identifying the first filter coefficient value (k) and the first filtering window value included in the L3 filtering configuration information; in response to receiving a latest measurement result from a lower layer, determining whether the generation time instance of the previous L3 filtered measurement result was obtained within a time window that is a function of a first time instance and a second time instance; and performing an L3 filtering operation to trigger a measurement report based on a result of the determination.
Memory sub-system for decoding non-power-of-two addressable unit address boundaries
A system generating, using a first addressable unit address decoder, a first addressable unit address based on an input address, an interleaving factor, and a number of first addressable units. The system then generating, using an internal address decoder, an internal address based on the input address, the interleaving factor, and the number of first addressable units. Generating the internal address includes: determining a lower address value by extracting lower bits of the internal address, determining an upper address value by extracting upper bits of the internal address, and adding the lower address value to the upper address value to generate the internal address. Using an internal power-of-two address boundary decoder and the internal address, the system then generating a second addressable unit address, a third addressable unit address, a fourth addressable unit address, and a fifth addressable unit address.
Memory sub-system for decoding non-power-of-two addressable unit address boundaries
A system generating, using a first addressable unit address decoder, a first addressable unit address based on an input address, an interleaving factor, and a number of first addressable units. The system then generating, using an internal address decoder, an internal address based on the input address, the interleaving factor, and the number of first addressable units. Generating the internal address includes: determining a lower address value by extracting lower bits of the internal address, determining an upper address value by extracting upper bits of the internal address, and adding the lower address value to the upper address value to generate the internal address. Using an internal power-of-two address boundary decoder and the internal address, the system then generating a second addressable unit address, a third addressable unit address, a fourth addressable unit address, and a fifth addressable unit address.
SYSTEM AND METHOD FOR DETERMINING LOCATION
A system and method for determining location information with respect to a portable device and an object. The system and method may be based on UWB communications, and more particularly with respect to a first path power determined with respect the UWB communications. In one embodiment, a differential first path power may be determined based on first and second first path power values obtained respectively by first and second devices via UWB communications with the portable device.
Signal Processing Method, Signal Processing Device, And Monitoring System
A signal processing method includes: acquiring first measurement data based on a signal output from a first sensor configured to detect a physical quantity of a first axis generated by a vibration of an object and second measurement data based on a signal output from a second sensor configured to detect a physical quantity of a second axis generated by the vibration of the object; generating a Lissajous figure based on the first measurement data and the second measurement data; transforming coordinates of each point in the Lissajous figure into polar coordinates and generating time series data of a first angle which is an angle formed between the first axis and a straight line, the straight line being obtained by projecting a straight line passing through an origin and each point in the Lissajous figure onto a plane including the first axis and the second axis; and executing frequency analysis on the time series data of the first angle and calculating a first maximum peak intensity which is a maximum peak intensity in a first frequency spectrum obtained by the frequency analysis.