Abstract: A wireless receiver (10) includes a down converter module (210) operable to deliver a signal having a signal bandwidth that changes over time, a dynamically controllable filter module (200) having a filter bandwidth and fed by said down converter module (210), and a measurement module (295) operable to at least approximately measure the signal bandwidth, said dynamically controllable filter module (200) responsive to said measurement module (295) to dynamically adjust the filter bandwidth to more nearly match the signal bandwidth as it changes over time, whereby output from said filter module (200) is noise-reduced. Other wireless receivers, electronic circuits, and processes for their operation are disclosed.

Abstract: Methods and apparatus for transmitting signals, the transmitter including a memory storing instructions and a controller configured to execute the instructions to cause the transmitter to determine whether a value of transmitter power is less than a threshold, responsive to a determination that the value of transmitter power is less than the threshold: mix a baseband signal with a first oscillator signal to produce a very-low intermediate frequency (VLIF) signal; mix the VLIF signal with a second oscillator signal to produce a radio frequency (RF) signal, and transmit the RF signal.

Abstract: A wireless communication device comprises a first communication unit, a second communication unit and a single control unit. The first communication unit wirelessly communicates by a first communication signal according to a first communication standard. The second communication unit wirelessly communicates by a second communication signal according to a second communication standard. The second communication signal has a frequency band that overlaps with that of the first communication signal. The second communication standard is different from the first communication standard.

Abstract: A method performed by a user equipment (UE) configured with a plurality of antenna panels. Each antenna panel is configured to beamform over a millimeter wave (mmWave) frequency band. The method includes identifying a predetermined condition corresponding to a first antenna panel of the plurality of antenna panels, selecting a second antenna panel of the plurality of antenna panels based on identifying the predetermined condition corresponding to the first antenna panel and transmitting a beam via the second antenna panel based on the selection.

Abstract: A method for detecting the state of the proximity sensor, applied to a terminal including the proximity sensor and an antenna, includes: sending a predetermined instruction to the proximity sensor; determining whether the proximity sensor is abnormal based on a feedback result of the proximity sensor to the predetermined instruction; and maintaining the antenna transmitting power at a low power if the proximity sensor is abnormal. Through the feedback of the proximity sensor to the request to obtain the capacitance value, it is determined whether the proximity sensor can work normally, and in a case that the proximity sensor cannot work normally, the antenna transmitting power is reduced to avoid the continuous high antenna transmitting power due to the inability of the proximity sensor to work normally, which reduces the radiation to the human body.

Abstract: Aspects of the subject disclosure may include, systems, apparatuses, and methods for determining that a load associated with a transmission medium exceeds a first threshold, wherein the transmission medium guides a first electromagnetic wave that propagates along the transmission medium from a first waveguide device to a second waveguide device without requiring an electrical return path, and based on the determining that the load exceeds the first threshold, enabling an injector to supply power to the transmission medium utilizing a very low frequency (VLF) generator. Other embodiments are disclosed.

Abstract: Circuitry, modules and devices for integrating front-end carrier aggregation architecture, are disclosed. In some embodiments, a front-end architecture includes a switching assembly configured to provide switching for two or more frequency bands. In some embodiments, the switching assembly includes at least one coupler configured to couple a signal associated with the switching assembly. The front-end architecture can also include a diplexer circuit including a first filter configured to pass a first frequency band, a second filter configured to pass a second frequency band, and a first electrostatic discharge network configured to dissipate electrostatic energy associated with the first and second frequency bands from the front-end architecture.

Abstract: Methods and apparatuses are described herein for adapting clear channel assessment (CCA) thresholds with or without Transmit Power Control (TPC) are disclosed. An IEEE 802.11 station (STA) may dynamically calculate a STA specific transmit power control (TPC) value and a STA specific clear channel assessment (CCA) value based on a target TPC parameter and a target CCA parameter. The target TPC parameter and the target CCA parameter may be received from an IEEE 802.11 cluster head configured to control TPC and CCA for a plurality of STAs associated with the BSS. The target TPC parameter and the target CCA parameter also may be related. The STA may then determine whether a carrier sense multiple access (CSMA) wireless medium of a wireless local area network (WLAN) basic service set (BSS) is occupied or idle based on the STA specific CCA value.

Abstract: The present disclosure provides a super-regenerative transceiver with a feedback element having a controllable gain. The super-regenerative transceiver utilizes the controllable gain to improve RF signal data sensitivity and improve RF signal data capture rates. Super-regenerative transceivers described herein permit signal data capture over a broad range of frequencies and for a range of communication protocols. Super-regenerative transceivers described herein are tunable, consume very little power for operation and maintenance, and permit long term operation even when powered by very small power sources (e.g., coin batteries).

Abstract: Methods of auto-calibrating antennas in a target environment are provided including obtaining a map and associated scale of the target environment; displaying the map to a user on a user display device; discovering a plurality of antennas present in the target environment; illustrating the discovered plurality of antennas on the map; repositioning at least some of the plurality antennas on the map; locking selected ones of plurality of antennas into a current position to provide a plurality of locked antennas, wherein the plurality of locked antennas is equal to zero or greater; and auto-calibrating a remaining plurality of unlocked antennas, wherein auto-calibrating includes moving each of the remaining plurality of unlocked antennas from a first position to a second position.

Abstract: A radio calibration system includes an FPGA that generates a calibration signal by a pseudo noise generator and mixes the calibration signal with a carrier generated by a carrier generator. The FPGA injects the calibration signal into an analog electronic device which couples the calibration signal into a receiver channel. The receiver channel measures calibration signal power, group delay, and phase, and performs calibration based on these measurements. A reference clock synchronizes the pseudo noise generator, the carrier generator and the receiver channel.

Abstract: A Bluetooth communication method and device, and storage medium and terminal are provided. The method includes: generating a frame to be transmitted, wherein the frame to be transmitted comprises at least a Preamble, an Access Code, a Header, an Enhanced Data Rate Payload and a Trailer, wherein a configuration mode of the Preamble is consistent with a configuration mode of a Preamble in an LE frame, a configuration mode of the Header, the Enhanced Data Rate Payload and the Trailer are consistent with configuration modes of corresponding parts in an EDR frame, a configuration mode of the Access Code is consistent with a configuration mode of an Access Code in the LE frame and a configuration mode of an Access Code in the EDR frame; and generating and transmitting the frame to be transmitted by a modulation mode of the EDR frame and a Symbol Rate of the LE frame.

Abstract: An architecture to reduce or eliminate uplink interference induced by aerial user equipment (UE) when aerial UE is introduced into groups of terrestrial based UE operating in terrestrial fourth generation (4G) long term evolution (LTE), fifth generation (5G) networks. A method can comprise determining a number of terrestrial based user equipment impacted by uplink interference caused by uplink transmissions associated with aerial user equipment, wherein the aerial user equipment and the terrestrial based user equipment are controlled by serving cell equipment; determining an enclosed area that bounds the number of terrestrial based user equipment; and initiating a carrier aggregation process on the aerial user equipment, wherein the carrier aggregation divides the uplink transmissions associated with the aerial user equipment over a group of serving cell equipment included in the enclosed area.

Abstract: Provided is a transmission power allocation method based on reinforcement learning with an efficient user clustering method. According to an embodiment of the present disclosure, a transmission power allocation method based on user clustering and reinforcement learning of a base station in a non-orthogonal multiple access (NOMA) system includes a sorting step of sorting channel gains of user equipments located in a coverage of the base station in a size order, a clustering step of allocating the user equipment to each cluster based on the size order, and a power allocation step of allocating power to each user equipment included in the cluster by using a quality function based on a state and an action.

Abstract: Apparatus, methods, and computer-readable media for facilitating phase jump estimation for SL DMRS bundling are disclosed herein. An example method includes receiving, from another device, first information at a first symbol of a first slot, the first slot including at least the first symbol and a first reference signal. The example method also includes receiving second information at a second symbol of a second slot, the second slot including at least the second symbol and a second reference signal, the first information and the second information being repetitions. The example method also includes generating a first reference signal copy based at least on the second reference signal and a phase jump between the first slot and the second slot. Additionally, the example method includes performing channel estimation across the first slot and the second slot based on an aggregation of the first reference signal and the first reference signal copy.

Abstract: An apparatus, a method and a computer program for predicting a future quality of service of a wireless communication link based on a predicted future environmental model that is predicted using a time-series projection. The method includes determining environmental models of one or more active transceivers in the environment of the mobile transceiver over points in time, determining a predicted future environmental model of the one or more active transceivers at a point in time of the future using a time-series projection of environmental models, predicting the future quality of service of the wireless communication link for point in time of the future using a machine-learning model. The machine-learning model is trained to provide information on a predicted quality of service for a given environmental model, and the predicted future environmental model is used as input to the machine-learning model.

Abstract: A suspended device structure comprises a substrate, a cavity disposed in a surface of the substrate, and a device suspended entirely over a bottom of the cavity. The device is a piezoelectric device and is suspended at least by a tether that physically connects the device to the substrate. The tether has a non-linear centerline. A wafer can comprise a plurality of suspended device structures.

Abstract: In some embodiments, a method for mitigating interference in a channel having multiple users includes: receiving a plurality of signals from a plurality of antenna elements, the received signals comprised of one or more interfering signals and a signal of interest (SOI); for each of the one or more interfering signals, beamforming the received signals to enhance the interfering signal, generating an estimate of the interfering signal, and adjusting the estimated interfering signal to undo the effects of beamforming; and subtracting each of the estimated interfering signals from each of the received signals to generate a plurality of interference-mitigated received signals.

Abstract: A suspended device structure comprises a substrate, a cavity disposed in a surface of the substrate, and a device suspended entirely over a bottom of the cavity. The device is a piezoelectric device and is suspended at least by a tether that physically connects the device to the substrate. The tether has a non-linear centerline. A wafer can comprise a plurality of suspended device structures. A device structure can comprise a device over a sacrificial portion or cavity and a tether with a tether opening extending to the sacrificial portion or cavity. The tether or tether opening can have a T shape. The tether can have a tether length at least one third as large as a device length and the device can have a device length at least twice as large as a device width.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learned communication. One of the methods includes: receiving an RF signal at a signal processing system for training a machine-learning network; providing the RF signal through the machine-learning network; producing an output from the machine-learning network; measuring a distance metric between the signal processing model output and a reference model output; determining modifications to the machine-learning network to reduce the distance metric between the output and the reference model output; and in response to reducing the distance metric to a value that is less than or equal to a threshold value, determining a score of the trained machine-learning network using one or more other RF signals and one or more other corresponding reference model outputs, the score indicating an a performance metric of the trained machine-learning network to perform the desired RF function.