A method includes determining, based at least in part on parameters of a software defined radio (SDR), waveform data descriptive of an electromagnetic waveform. The method also includes generating feature data based on the waveform data. The method further includes providing the feature data as input to a first machine learning model to predict a future action of a device associated with at least a portion of the electromagnetic waveform and initiating a response action based on the predicted future action.

Aspects of the subject disclosure may include, for example, generating multiple digital reference pulses synchronously to a master oscillator, selectively switching the multiple digital reference pulses, and providing the switched pulses to multiple radio modules operating within a millimeter wave spectrum. For each radio module, counting cycles of an adjustable LO output signal occurring between consecutive pulses of the switched digital reference pulses, determining a difference between the count value and a reference value, and adjusting the adjustable LO according to the difference. A resulting corrected LO signal is synchronized to the master oscillator. Other embodiments are disclosed.

Embodiments of this disclosure provide a system and method for wireless communication and wireless sensing in a low-cost common transceiver structure. In particular, the common transceiver structure may have a common digital-to-analog converter (DAC) configured to convert a digital wireless communication signal and a digital wireless sensing signal into an analog wireless communication signal and an analog wireless sensing signal, respectively. The common transceiver may also have a common transmitting antenna configured to transmit the analog wireless communication signal and the analog wireless sensing signal.

Domain management functionality is implemented internally to a software-defined radio device. A software-defined radio device that includes plural hardware modules 220 to 222 and implements radio device functions by downloading radio communication software programs 203 for controlling the plural hardware modules from outside. The software-defined radio device includes domain management software 202 among environment software programs 215 that are activated when the device is activated. The domain management software generates an interface necessary to use each of the radio communication software programs according to a domain for each of the radio communication software programs and performs activation, setup, and connection with other programs for each of the radio communication software programs.

A microcomponent massive MIMO array is presented. The microcomponent massive array includes a general purpose processor and an integrated power amplifier and transmitter device including a software defined radio (SDR) and a plurality of polar power amplifiers (PAs) disposed on a single integrated circuit, wherein the integrated power amplifier and transmitter device is in communication with the general purpose processor. The microcomponent massive MIMO array further includes an antenna array in communication with the integrated power amplifier and transmitter device.

There is presented mechanisms for providing information for determining beamforming weights or decoding user data for terminal devices. A method is performed by an RE of an access node. The RE has an interface to an REC of the access node. The method comprises obtaining information from the terminal devices to be used by the REC for determining the beamforming weights or decoding the user data. The method comprises selecting, according to a selection criterion, a part of the information to be provided to the REC in order for the REC to determine the beamforming weights or decode the user data based on the selected part of the information. The method comprises providing the selected part of the information to the REC over the interface.

An application-specific wireless communication network for use in an industrial environment based on parameters defined by the IEEE 802.11 standard, modified by providing software-defined control of an assigned operating frequency band and software-defined control of the channel size, allowing the channel size to be relatively small as appropriate for the particular industrial application. The application-specific wireless communication network further controls other parameters defined by the standard to configure at least optimum transmitter power, receiver sensitivity, transmission latency, and ACK-retransmit to values appropriate for the specific industrial application.

A wireless communication method includes receiving, by an external device, a request to transmit data to an aircraft, in response to a triggering condition being satisfied, switching a communication electric circuit of the aircraft from operating a first software defined ration (SDR) firmware to operating a second SDR firmware, and receiving, by the aircraft, data to be transmitted. Communication electric circuits of the aircraft and the external device are respectively configured to execute corresponding SDR firmwares to establish communication links. The first SDR firmware is configured to establish a communication link of the aircraft, and the second SDR firmware is configured to establish a communication link of the external device. A bandwidth of a communication link of the aircraft operated with the second SDR firmware is broader than a bandwidth of the communication link of the aircraft operated with the first SDR firmware.

A domain-specific hardwired symbolic communications machine is described that processes information via the hardwired mapping of symbols from one or more domains onto other such domains, computing and communicating with improved security and reduced power consumption because it has no CPU, no Random Access Memory (RAM), no instruction registers, no Instruction Set Architecture (ISA), no operating system (OS) and no applications programming. The machine provides web services by recognizing valid requests based on the processing of symbols and the validating of those symbols according to various domains. In some embodiments the requests may conform or be related to, for example, Long Term Evolution (LTE), Hypertext Transfer Protocol (HTTP), or fourth generation (4G) wireless technology. Further, in some embodiments, the machine has no unconstrained RAM into which malware may insert itself and needs no anti-virus software.

The use of mobile telephones have come into widespread use in such a way that day to day life has become very much dependent on them. This results in unintentional or intentional use of mobile phones in the prohibited areas such as examination centers. A method for detecting active radiofrequency wireless communication signal in a region has been provided. The method involves two stages, calibration stage and mobile phone detection stage. In the calibration stage, the frequency on which the mobile towers in that region are operating are identified. The identified frequency is then used to detect the active wireless RF communication using a plurality of software defined radios (SDR) and the existing client systems present in the region. The method further configured to determine the exact location of the mobile phone from the RF communication signal is generated.