Abstract: A communication network has multiple nodes, each node having one or more antennas, one or more input ports to receive communication signals from the antenna, a memory to store data associated with the communication signals, and one or more processors to gather local data about an environment, communicate with other nodes as needed, and use the local data to determine optimized operational settings for the node. A sensor device has one or more antennas to receive communication signals from other nodes in a communication network, one or more input ports to receive the communication signals, one or more output ports to transmit communication signals, a memory to store data associated with the communication signals, and one or more processors to determine a position of the sensor, transmit signals, receive return signals, produce return signal data, and use a machine learning system on the return signal data to identify unblocked ports.

Abstract: A method of characterizing a communication channel includes receiving a first signal from a set of transmitters reflected along a reflected channel from each element of a reconfigurable intelligent surface (RIS) set at a nominal angle, receiving a second signal reflected in the reflected channel from each element of the RIS set at an adjusted angle, using the first and second signals to determine a transfer function for a combined channel comprised of a reflected channel and a direct channel, and using the transfer function as an input to a machine learning network to determine optimized settings for the elements of the RIS. A communications system includes a set of transmitters, a reconfigurable intelligent surface (RIS), one or more receivers positioned to receive signals reflected by the RIS from the set of transmitters, and a machine learning system configured to produce optimized angles for elements of the RIS.

Abstract: A machine learning network has a plurality of test and measurement devices, one or more of the test and measurement devices has one or more communication interfaces configured to allow the device to receive and process physical layer signals, a memory, and one or more processors configured to execute code to cause the one or more processors to receive physical layer data, perform one or more operations on the physical layer data according to a machine learning model to produce changed physical layer data, and transmit the changed physical layer data to at least one other node in the machine learning neural network. The machine learning network may include a learner node.

Abstract: A communication system includes one or more transmitters, each transmitter to: transmit communication signals using a defined signaling protocol with multiple antenna elements to a target receiver, the communication signals containing known specific transmit sequences spread across a frequency spectrum of the communication signals to be detectable only by receivers having the known specific transmit sequences, and receive feedback from the target receiver indicating any errors in reception of the communication signals based upon the known specific transmit sequences, and a machine learning system to use configuration of the multiple antenna elements when the communication signal was sent and the feedback to predict preconfigured settings for transmitters.

Abstract: In some embodiments a phase between a periodic spreading signal and an effective spreading signal modulating an interfering harmonic is determined, an amplitude of the interfering harmonic is estimated, and the interfering harmonic is canceled from a received signal. Other embodiments are described and claimed.

Abstract: In one embodiment, a system comprises a portable computing device comprises a housing, at least one temperature sensitive radio frequency signal source proximate the housing and at least one radio frequency interface to receive a radio signal generated by the at least one temperature sensitive radio frequency signal source.

Abstract: Embodiments include systems and methods for integration of RF components onto a single die with functional processing circuitry. For example, one integrated circuit may comprise multiple processors that can communicate there between by way of Radio Frequency (RF) transmission. The processors may also communicate with slave devices by way of radio frequency. Transmission and reception may be at frequencies in a band hitherto unused in computing devices and their peripherals.

Abstract: Provided herein are different embodiments for performing radio frequency interference (RFI) mitigation in electronic devices such as mobile computing systems. In some embodiments, a dynamic RFI mitigation scheme allows for monitoring of wireless channels for RFI and to adaptively shift an identified RFI source (e.g., system clock) harmonics, e.g., either out of the on-channels or to a neutral position within the on-channels such as by using cost-function analysis.

Abstract: A method of sensing radio frequency interference (RFI) in a wireless system is provided. The method includes receiving wireless data through a wireless receiver and evaluating received wireless data through a receiver baseband module to identify an occurrence of a signal detection failure by a physical (PHY) layer or a media access control (MAC) layer of the wireless system. The method also includes triggering a radio frequency interference sensing state in response to the occurrence of signal detection failure by the physical layer or the media access control layer of the wireless system.

Abstract: Embodiments include systems and methods for RFI mitigation in a wireless computing environment. In one embodiment, a platform determines RFI information of the platform by listening with a receiver of a transceiver of the platform when the transmitter of the transceiver is quiescent. The platform derives Frequency Domain Weights from the RFI information and transmits the Frequency Domain Weights to a Wireless Access Point (WAP). In the transmitter and receiver of the WAP, the Frequency Domain Weights are applied to signals received and to be transmitted.

Abstract: A method according to one embodiment for mitigating radio frequency interference by identifying system clocks, identifying active radio channels, measuring clock harmonics in or near the active radio channels, determining potential interference occurring if the clocks were moved to new fundamental frequencies, and shifting clock fundamental frequencies to reduce interference to the active radio channels based on existing interference and the potential interference of a plurality of new fundamental frequencies. Of course, many alternatives, variations, and modifications are possible without departing from this embodiment.

Abstract: A method according to one embodiment identifying the frequency range of at least one active channel of at least one wireless communication RF band; identifying the frequency range of at least one clock harmonic; identifying an overlap, in whole or in part, between the frequency range of the at least one active channel and the frequency range of the at least one clock harmonic; and shifting a fundamental frequency of the at least one clock to shift the frequency range of the at least one clock harmonic out of, at least in part, the frequency range of the at least one active channel. Of course, many alternatives, variations, and modifications are possible without departing from this embodiment.

Abstract: In some embodiments a phase between a periodic spreading signal and an effective spreading signal modulating an interfering harmonic is determined, an amplitude of the interfering harmonic is estimated, and the interfering harmonic is canceled from a received signal. Other embodiments are described and claimed.

Abstract: Provided herein are different embodiments for performing radio frequency interference (RFI) mitigation in electronic devices such as mobile computing systems. In some embodiments, a dynamic RFI mitigation scheme allows for monitoring of wireless channels for RFI and to adaptively shift an identified RFI source (e.g., system clock) harmonics, e.g., either out of the on-channels or to a neutral position within the on-channels such as by using cost-function analysis.

Abstract: In some embodiments an apparatus includes a higher order statistical signal processor to process a jittered digital signal, a diagonal line average unit to identify a distinct line in a signal output from the higher order statistical signal processor, and a peak detection unit to determine a peak value in response to an output of the diagonal line average unit and to provide a data rate signal as an output. Other embodiments are described and claimed.

Abstract: A method to mitigate non-Gaussian Radio Frequency Interference (RFI) in a platform. Non-gaussian RFI is sensed in the received Inphase and Quadrature (IQ) data from a radio coupled with the platform. The parameters associated with a noise model from the IQ data are determined and the platform is reconfigured based on the parameters.

Abstract: A method of sensing radio frequency interference (RFI) in a wireless system is provided. The method includes receiving wireless data through a wireless receiver and evaluating received wireless data through a receiver baseband module to identify an occurrence of a signal detection failure by a physical (PHY) layer or a media access control (MAC) layer of the wireless system. The method also includes triggering a radio frequency interference sensing state in response to the occurrence of signal detection failure by the physical layer or the media access control layer of the wireless system.

Abstract: In one embodiment, a system comprises a portable computing device comprises a housing, at least one temperature sensitive radio frequency signal source proximate the housing and at least one radio frequency interface to receive a radio signal generated by the at least one temperature sensitive radio frequency signal source.

Abstract: Apparatus, system, and method are described for a complementary metal oxide semiconductor (CMOS) integrated circuit device having a first metal layer that includes a radiating element and a second metal layer that includes a first conductor coupled to the radiating element. The first conductor and the radiating element are mutually coupled to form an antenna to wirelessly communicate a signal.

Abstract: A sub-banded ultra-wideband (SB-UWB) system may combine aspects of an orthogonal frequency division multiplexing (OFDM) modulation scheme with aspects of an ultra-wideband system. In one embodiment, the system may use orthogonal waveforms to form an ultra-wideband wireless communications system. In another embodiment, an FFT based implementation of the system may be used to generate and detect an SB-UWB waveform.