A receiver circuit includes a feedback loop including a device. The receiver circuit also includes a register and a sequencer. The sequencer is configured to, responsive to an error signal being below a threshold value, cause the register to store a value indicative of the state of the feedback loop. The sequencer is also configured to cause the feedback loop to transition to a lower power state, and, responsive to a detected wake-up event, cause the previously stored value indicative of the state of the feedback loop to be loaded from the register into the device and enable the feedback loop.

A transmitter apparatus wherein a simple structure is used to successfully suppress the degradation of error rate performance that otherwise would be caused by fading or the like. There are included encoding parts that encode transport data; a mapping part that performs such a mapping that encoded data sequentially formed by the encoding parts are not successively included in the same symbol, thereby forming data symbols; and a symbol interleaver that interleaves the data symbols. In this way, a low computational complexity can be used to perform an interleaving process equivalent to a bit interleaving process to effectively improve the reception quality at a receiving end.

Systems, methods, and apparatus are provided for automated identification of baseline data and changes in state in a wireless communications spectrum, by identifying sources of signal emission in the spectrum by automatically detecting signals, analyzing signals, comparing signal data to historical and reference data, creating corresponding signal profiles, and determining information about the baseline data and changes in state based upon the measured and analyzed data in near real time, which is stored on each apparatus or device and/or on a remote server computer that aggregates data from each apparatus or device.

Systems, methods, and apparatus are provided for automated identification of baseline data and changes in state in a wireless communications spectrum, by identifying sources of signal emission in the spectrum by automatically detecting signals, analyzing signals, comparing signal data to historical and reference data, creating corresponding signal profiles, and determining information about the baseline data and changes in state based upon the measured and analyzed data in near real time, which is stored on each apparatus or device and/or on a remote server computer that aggregates data from each apparatus or device.

Methods, systems, and devices for wireless communications are described. A user equipment (UE), that is configured for demodulation reference signal (DMRS) bundling, may receive a control message that schedules first and second sets of repetitions of an uplink transmission. The UE may determine a phase coherency configuration to be applied for DMRS transmissions corresponding to each set of repetitions. The phase coherency configuration may be determined based on a phase coherency capability of the UE, and the phase coherency configuration may specify that phase coherency is to be maintained for one or more of the first set of repetitions separate from one or more of the second set of repetitions. The UE may transmit the first set of repetitions with a first set of demodulation reference signals and the second set of repetitions with a second set of demodulation reference signals in accordance with the phase coherency configuration.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit, to a base station, a request for a data transmission that includes multiple subsets of data each associated with a different constellation granularity. In response to the request, the base station may encode the data transmission using multiple different constellation granularities and may transit the encoded data transmission to the UE. For example, the UE may receive the data transmission including a first subset of data that was encoded by the base station using a first constellation granularity and a second subset of data that was encoded by the base station using a second constellation granularity. The UE may then iteratively estimate phase-noises associated with respective subsets of data and perform phase-noise correction operations on the entire data transmission based on the estimated phase-noises.

A communication system SYS includes a transmission apparatus 1 and a reception apparatus 2. The transmission apparatus includes: a conversion unit 111 for converting a bit stream Z having a bit length b into a bit stream Y that has w−1 (w is an integer equal to or larger than 2) bit 1 and that has a bit length n (n>b); a conversion unit 112 for converting the bit stream Y into a bit stream X having a bit length t (t<n); and a Neural Network 113 that has a t input node and that outputs a value relating to a feature of a transmission signal Tx when the bit stream X is inputted thereto. The reception apparatus includes: a Neural Network 212 that has a t output node and that outputs a numerical data stream U including t numerical data when a feature of the reception signal is inputted thereto; a conversion unit 213 for converting the numerical data stream U into a numerical data stream Y′ including n numerical data; and a generation unit 214 for generating a bit stream Z′ having the bit length b by performing, on the numerical data stream U, an inverse conversion of a conversion processing performed by the conversion unit 111.

A hybrid electrical and optic system-on-chip (SOC) device configured for both electrical and optic communication includes a substrate, an electrical device configured for electrical communication arranged on the substrate, a photonics device configured for optic communication arranged on the substrate, and a self-test module arranged on the substrate. The self-test module is configured to receive a loop-back signal indicative of an optical signal output from the photonics device and calibrate the photonics device based on the loop-back signal.

A method, a device and a system of determining a transmission parameter of a data shared channel are provided. The method includes: receiving downlink control information including a field configured to determine a transmission parameter of a data shared channel; and determining the transmission parameter according to the field.

A method of modifying a common phase error (CPE) estimate of a slot including symbols, the method including receiving a CPE value corresponding to a symbol of a slot by an artificial neural network, generating a modified CPE value with the artificial neural network, and outputting the modified CPE value from the artificial neural network.