Abstract: Systems, methods and apparatus are disclosed for automatic signal detection in an RF environment. An apparatus comprises at least one receiver and at least one processor coupled with at least one memory. The apparatus is at the edge of a communication network. The apparatus sweeps and learns the RF environment in a predetermined period based on statistical learning techniques, thereby creating learning data. The apparatus forms a knowledge map based on the learning data, scrubs a real-time spectral sweep against the knowledge map, and creates impressions on the RF environment based on a machine learning algorithm. The apparatus is operable to detect at least one signal in the RF environment.

Abstract: Various implementations relate to generating, locally at an assistant client device, specific control commands that, when transmitted to a corresponding smart device, are directly interpretable by the corresponding smart device to effectuate a state change at the corresponding smart device, or at a corresponding additional smart device directly controlled by the corresponding smart device. Various implementations additionally or alternatively relate to utilizing local assistant client devices in discovering, provisioning, and/or registering smart devices for an account of a user.

Abstract: According to one aspect, a contactless transponder comprises a memory, an antenna configured to receive signals, a contactless interface coupled to the antenna and configured to emit memory access requests according to the signals received, a wired interface configured to receive memory access requests, an arbitration module configured to authorize access to the memory either for access requests emitted by the contactless interface or for access requests received by the wired interface, and wherein the wired interface is also configured to receive shutdown controls and transmit these shutdown controls to the arbitration module, the arbitration module being configured to be able to shut down the contactless interface when it receives a shutdown control.

Abstract: This disclosure describes techniques that enable a Radio Frequency (RF) signal controller and optional digital signal translator to use the existing telecommunication infrastructure of a business or residential establishment to deliver wireless communication services to the business or residential establishment. The data signal controller may transceive a first data signal via a first signal interface, determine if/how to process the first data signal to generate a second data signal that is suitable to be transported into the establishment via legacy telecommunications infrastructure.

Abstract: Embodiments of the application provide a method for determining a resource location in a terminal device, a terminal device, and a non-transitory computer readable storage medium. A terminal device determines a second downlink slot corresponding to the CSI reporting moment based on a first uplink slot where channel state information (CSI) reporting moment is located; the terminal device obtains a slot offset, where the slot offset is a slot offset of a location of a CSI reference resource on a time domain relative to the second uplink slot; the terminal device determines the location of the CSI reference resource on the time domain based on the second uplink slot and the slot offset.

Abstract: Apparatus and methods for identifying a wireless signal-emitting device are disclosed. The apparatus is configured to sense and measure wireless communication signals from signal-emitting devices in a spectrum. The apparatus is operable to automatically detect a signal of interest from the wireless signal-emitting device and create a signal profile of the signal of interest; compare the signal profile with stored device signal profiles for identification of the wireless signal-emitting device; and calculate signal degradation data for the signal of interest based on information associated with the signal of interest in a static database including noise figure parameters of a wireless signal-emitting device outputting the signal of interest. The signal profile of the signal of interest, profile comparison result, and signal degradation data are stored in the apparatus.

Abstract: 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.

Abstract: Systems, methods, and devices enable spectrum management by identifying, classifying, and cataloging signals of interest based on radio frequency measurements. In an embodiment, signals and the parameters of the signals may be identified and indications of available frequencies may be presented to a user. In another embodiment, the protocols of signals may also be identified. In a further embodiment, the modulation of signals, data types carried by the signals, and estimated signal origins may be identified.

Abstract: Systems, methods and apparatus for spectrum data management for a radio frequency (RF) environment are disclosed. An apparatus comprises at least one receiver, an automatic signal detection (ASD) module, and a learning and conflict detection engine. The apparatus is at the edge of a communication network. The at least one receiver processes RF energy received from the RF environment, thereby generating processed data. The ASD module is configured to extract meta data and detect anomaly based on the processed data. The learning and conflict detection engine is configured for conflict recognition and anomaly identification based on the processed data. The apparatus is operable to generate at least one report for the RF environment.

Abstract: An optimization method for UAV-based wireless information and energy transmission includes following steps: S1: reporting, by a wireless device, an energy state of the wireless device to a UAV; S2: detecting, by the UAV, a channel state between the UAV and the wireless device; and S3: selecting, by the UAV, an optimal action based on estimated revenue maximization according to an electric quantity of the UAV, an electric quantity of the wireless device, and the channel state. The use of the wireless device can reduce wiring costs, beautify the space, and ensure a smaller size and a lower power. By applying the UAV to information and energy transmission for the wireless devices, the data transmission rate and the energy conversion efficiency of networks are improved.

Abstract: An apparatus, method and wireless device for fast scanning of a wireless communications medium are disclosed. According to one aspect, a method includes tuning a transceiver of the wireless node to a first frequency. The method further includes computing a first difference frequency, the first difference frequency being a difference between the first frequency and a second frequency. The method further includes generating a first control signal to configure a first backscattering device to switch between at least two states at a switching frequency equal to the first difference frequency.

Abstract: 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.

Abstract: Systems, methods and apparatus are disclosed for automatic signal detection in an RF environment. An apparatus comprises at least one receiver and at least one processor coupled with at least one memory. The apparatus is at the edge of a communication network. The apparatus sweeps and learns the RF environment in a predetermined period based on statistical learning techniques, thereby creating learning data. The apparatus forms a knowledge map based on the learning data, scrubs a real-time spectral sweep against the knowledge map, and creates impressions on the RF environment based on a machine learning algorithm. The apparatus is operable to detect at least one signal in the RF environment.

Abstract: A method can include at a combination device, receiving or generating a slot availability mask (SAM) information compatible with a Bluetooth and/or Bluetooth Low Energy (BT) standard; by operation of BT compatible circuits of the combination device, determining a schedule of BT compatible data transfers in response to at least the SAM information; and by operation of circuits compatible with at least one IEEE 802.11 wireless standard (WLAN circuits), determining a schedule of WLAN compatible data transfers in response to at least the SAM information. Related systems and methods are also disclosed.

Abstract: A system and method for communications link status analysis is disclosed. In embodiments, the system includes a radio systems interface (RSI) for listening to communications assets of a ground-based or mobile host platform. Radio data on communications traffic and their originating platforms is stored and analyzed to determine the link status of current communications links to other platforms. A link record is updated with the current links and associated platform information. A propagation analyzer forecasts future link statuses for identified current links based on the available platform data and forwards the propagation forecasts to operators of the host platform.

Abstract: 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.

Abstract: Disclosed are devices and methods for performing wireless charging of an electronic device and establishing a wireless connection with a plurality of electronic devices for data transfer. Different modes of wireless data transfer can be used to ensure that the power supply of the electronic device is charged without interruption.

Abstract: A method, apparatus and computer readable storage medium are provided for determining absolute altitudes of individual floors represented by an indoor map. In the context of a method, location data is obtained representing at least one track of one or more users at least partially in a structure. The location data includes horizontal and vertical location information with the vertical location information representing an absolute altitude. The method also includes obtaining indoor map data representing different floors and indicating structural elements on the floors and determining track sections of the at least one track represented by the location data such that each track section can be assumed to be on a single floor. The method further includes at least partially comparing determined track sections with floors represented by the indoor map data and determining an absolute altitude of at least some of the floors represented by the indoor map data.

Abstract: One example discloses a wireless device, including: a first near-field device, including a near-field transmitter or receiver and a controller, configured to be coupled to a first conductive surface; wherein the near-field receiver includes a set of tuning values configured to either set a near-field resonance frequency or an operational bandwidth of the first near-field device; wherein the controller is configured to change at least one of the tuning values in response to a change in a distance between the first surface and a second conductive surface; and wherein the controller is configured to calculate the distance, between the first conductive surface and the second conductive surface, based on the at least one of the tuning values.

Abstract: A stand for a mobile device. The stand includes a back plate having a pair of parallel tracks, the back surface of the back plate attached to a back surface of the mobile device. The stand includes a sliding plate having a first end coupled to the back plate and configured to slide along the pair of parallel tracks. The stand includes a pivot plate having a first end connected to the second end of the sliding plate at a hinge, a second end connected to the back plate, and the pivot plate is configured to pivot relative to the back plate when the first end of the sliding plate slides along the pair of parallel tracks. The pivot plate, the sliding plate, and the back plate form one or more channels for receiving one or more fingers of a user when the stand is in the deployed position.