Patent classifications
H04B7/005
Reduced-complexity internet of things sensor
A reduced-complexity Internet of Things sensor is disclosed. An example apparatus comprises memory storing one or more sensor event messages, a radio configured to determine a sensor event, a counter configured to output incremental counter states, and a control circuitry. The control circuitry may be in communication with the memory, the radio, and counter, and the sensor. The control circuitry may be configured to determine, based on the sensor event, a select sensor event message of the one or more sensor event messages. The control circuitry may be further configured to output, via the radio signal, a packet comprising the select event message and an indication of a counter state associated with the sensor event message.
Reduced-complexity internet of things sensor
A reduced-complexity Internet of Things sensor is disclosed. An example apparatus comprises memory storing one or more sensor event messages, a radio configured to determine a sensor event, a counter configured to output incremental counter states, and a control circuitry. The control circuitry may be in communication with the memory, the radio, and counter, and the sensor. The control circuitry may be configured to determine, based on the sensor event, a select sensor event message of the one or more sensor event messages. The control circuitry may be further configured to output, via the radio signal, a packet comprising the select event message and an indication of a counter state associated with the sensor event message.
CHANNEL ACQUISITION USING ORTHOGONAL TIME FREQUENCY SPACE MODULATED PILOT SIGNALS
Techniques for performing channel estimation in an orthogonal time, frequency and space (OTFS) communication system include receiving a wireless signal comprising a data signal portion and a pilot signal portion in which the pilot signal portion includes multiple pilot signals multiplexed together in the OTFS domain, performing two-dimensional channel estimation in a time-frequency domain based on a minimum mean square error (MMSE) optimization criterion, and recovering information bits using a channel estimate obtained from the two-dimensional channel estimation.
CHANNEL ACQUISITION USING ORTHOGONAL TIME FREQUENCY SPACE MODULATED PILOT SIGNALS
Techniques for performing channel estimation in an orthogonal time, frequency and space (OTFS) communication system include receiving a wireless signal comprising a data signal portion and a pilot signal portion in which the pilot signal portion includes multiple pilot signals multiplexed together in the OTFS domain, performing two-dimensional channel estimation in a time-frequency domain based on a minimum mean square error (MMSE) optimization criterion, and recovering information bits using a channel estimate obtained from the two-dimensional channel estimation.
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.
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.
PHASE AND AMPLITUDE ERROR CORRECTION IN A TRANSMISSION CIRCUIT
Phase and amplitude error correction in a transmission circuit is provided. The transmission circuit includes a transceiver circuit, a power management integrated circuit (PMIC), and a power amplifier circuit(s). The transceiver circuit generates a radio frequency (RF) signal(s) from an input vector, the PMIC generates a modulated voltage, and the power amplifier circuit(s) amplifies the RF signal(s) based on the modulated voltage. In embodiments disclosed herein, the transceiver circuit is configured to equalize the input vector using multiple complex filters to thereby correct amplitude-amplitude (AM-AM) and amplitude-phase (AM-PM) errors. As a result, it is possible to reduce undesired instantaneous excessive compression and/or spectrum regrowth to thereby improve efficiency and linearity of the power amplifier circuit(s) across the modulation bandwidth.
PHASE AND AMPLITUDE ERROR CORRECTION IN A TRANSMISSION CIRCUIT
Phase and amplitude error correction in a transmission circuit is provided. The transmission circuit includes a transceiver circuit, a power management integrated circuit (PMIC), and a power amplifier circuit(s). The transceiver circuit generates a radio frequency (RF) signal(s) from an input vector, the PMIC generates a modulated voltage, and the power amplifier circuit(s) amplifies the RF signal(s) based on the modulated voltage. In embodiments disclosed herein, the transceiver circuit is configured to equalize the input vector using multiple complex filters to thereby correct amplitude-amplitude (AM-AM) and amplitude-phase (AM-PM) errors. As a result, it is possible to reduce undesired instantaneous excessive compression and/or spectrum regrowth to thereby improve efficiency and linearity of the power amplifier circuit(s) across the modulation bandwidth.
Indication information sending method, indication information receiving method, device, and system
An indication information sending method includes that a base station generates first indication information, and send the first indication information to a terminal device; and where the first indication information is used to indicate a power control manner of a first channel, the power control manner of the first channel is one power control manner in a power control manner set, and the power control manner set comprises a transmit power of a signal on the first channel is determined by a terminal device based on a first parameter; or a transmit power of a signal on the first channel is determined by a terminal device according to a rule predefined on the terminal device.
Modulation and equalization in an orthonormal time-frequency shifting communications system
A method for modulating data for transmission within a communication system. The method includes establishing a time-frequency shifting matrix of dimension N×N, wherein N is greater than one. The method further includes combining the time-frequency shifting matrix with a data frame to provide an intermediate data frame. A transformed data matrix is provided by permuting elements of the intermediate data frame. A modulated signal is generated in accordance with elements of the transformed data matrix.