Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data with coefficient data specific to a processing mode selection. For example, a computing system with processing units may mix the input data for a transmission in a radio frequency (RF) wireless domain with the coefficient data to generate output data that is representative of the transmission being processed according to a specific processing mode selection. The input data is mixed with coefficient data at layers of multiplication/accumulation processing units (MAC units). The processing mode selection may be associated with an aspect of a wireless protocol. Examples of systems and methods described herein may facilitate the processing of data for 5G wireless communications in a power-efficient and time-efficient manner.

Method, device, and system for setting an operating parameter of a radio receiver included in a radio based on a predicted radio signal environment. One method includes determining an operating location of the radio. The method also includes determining a transmission characteristic of at least one base station. The method further includes predicting, with an electronic processor, the radio signal environment of the radio receiver based on the transmission characteristic of the at least one base station and the operating location of the radio. The method also includes setting the operating parameter of the radio receiver based on the radio signal environment.

A device reduces its energy consumption using a relatively lower frequency and lower power secondary oscillator to maintain timing information when a higher frequency and higher power primary oscillator is inactivated. The secondary oscillator maintains timing information at a higher resolution than the period of the oscillator, so as to conserve synchronization when the higher frequency, higher power primary oscillator is inactivated. In some embodiments, a microsequencer is programmably configured to control an integrated radio receiver and transmitter using less power than an associated microprocessor would use to perform the same functions. In other embodiments, flexible event timing facilitates the merging of wake-up events to reduce the energy consumed by wake-up operations in the device.

A system architecture for managing resources in a communication network comprises in combination at least the following elements: a plurality of radio equipments working in a given frequency band and with identical frequency hopping rules; the radio equipments are managed by a master device; and a radio equipment comprises at least: a radiocommunication module that carries the radiocommunications; a module suitable for tapping, monitoring and intercepting radio signals in the environment and for recording them locally in a database; a module suitable for disrupting non-authorized communications; and a local “3 in 1” management module receiving the orders emitted by the master device, the management module being suitable for controlling the various modules of the radio equipment; a radio-router module; and a tapping and monitoring module.

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.

A computing device with a configurable antenna. The antenna is configured through a switching circuit operating under software control. Operating characteristics of the antenna are configured based on connections between conducting segments established by the switching circuit, allowing the nominal frequency, bandwidth or other characteristics of the antenna to be configured. Because the switching is software controlled, the configurable antenna may be integrated with a software defined radio. The radio and antenna can be reconfigured to support communication according to different wireless technologies at different times or to interleave packets according to different wireless technologies to support concurrent sessions using different wireless technologies.

A communication system comprising: input buffers adapted for buffering incoming data streams of samples from one or more channels; a receiver adapted for sequentially processing data from the input buffers; a processing rate of the receiver is higher than or equal to an incoming data rate of the incoming data; context memory adapted for saving an internal status of the receiver after processing the data corresponding with an input buffer before switching to a next input buffer and for restoring the internal status, wherein the receiver is adapted for processing the incoming data in a frame detection phase, and in a frame demodulation phase in which frames and/or subframes are demodulated into bits and wherein the internal status of the receiver related to an input buffer is only saved and restored in the frame detection phase or before and after demodulating subframes.

A system for providing software defined radio on a mobile device includes a hardware portion including an antenna and an interface configured to connect to the mobile device; a software portion configured for execution on the mobile device, the software portion configured to receive and process RF signals received at the antenna.

A wireless device driving method includes hiding a header emulated with a second protocol in a payload of a packet defined with a first protocol and transmitting the emulated header at a transmission side, receiving the emulated header and an ambient signal at a reception side, and decoding the ambient signal according to the second protocol to obtain a bit sequence.

The devices and methods leverage harmonics to resolve, separate, and identify devices. The devices and methods use the harmonic patterns associated with a frequency modulating (FM) signal to discern and extract information from the FM signal using correlation learning in a crowded spectrum space where the nodes are transmitting simultaneously on multiple channels. The methods and devices leverage harmonics to resolve, separate, and/or identify wireless communication devices.