A system for monitoring cellular communications including a passive sensor device, processors, and memory devices. The memory devices having instructions that cause the processors to identify active downlink channels using a first radio to monitor each channel in a cellular spectrum and store downlink channel information, including configuration data, for each of the identified active downlink channels. The processors identify active uplink channels using a second radio to monitor each channel in the cellular spectrum and store uplink channel information for each of the identified active uplink channels. The processors correlate one of the active uplink channels with a corresponding active downlink channel and tune a third radio to the active uplink channel using the configuration data for the corresponding active downlink channel. The processors also tune a fourth radio to the active downlink channel corresponding to the at least one active uplink channel using the corresponding configuration data.

A system comprising a first electroacoustic transducer connected to an interrogation unit and at least one second electroacoustic transducer connected to a resonator, wherein the first electroacoustic transducer and the second electroacoustic transducer form an acoustic channel and the second electroacoustic transducer forms with the resonator a passive cooperative target which, upon receiving an interrogation signal from the interrogation unit, transmits a response signal via the acoustic channel, and the interrogation signal has a higher energy than the response signal.

Methods, systems, and devices for wireless communications are described in which radio units (RUs), distributed units (DUs), or combinations thereof, may have a single hardware configuration that may be configured to implement different functions for radio frequency (RF) and baseband processing at a base station. A desired functionality for a RU or DU may be identified, and the RU or DU may be configured to implement the functionality through run-time configuration or boot images to implement a particular set of functions that may be needed for a particular cell or deployment. A RU or DU may be reconfigured following an initial configuration to perform different functions following the reconfiguration.

In various aspects, a radio communication device is described including a housing, a plurality of radiohead circuits attached to the housing, baseband circuitry connected to the plurality of radiohead circuits via a digital interface; and one or more processors configured to select one or more radiohead circuits of the plurality of radiohead circuits for communication with another radio communication device to fulfill one or more predefined selection criteria with respect to a quality of a communication with the other radio communication device using the one or more selected radiohead circuits and to control the baseband circuitry to perform communication with the other radio communication device using the one or more selected radiohead circuits.

A method for preprocessing data for device operations can include preprocessing measurement data using a machine learning technique, determining, by a Kalman filter and based on (1) the preprocessed measurement data or the measurement data and (2) prediction data from a prediction model predicting a measurement associated with the measurement data, corrected measurement data, and providing the corrected measurement data based on the predicted measurement and the preprocessed measurement data.

The systems and methods described relate to the concept that smart devices can be used to: sense various types of phenomena like sound, blue light exposure, RF and microwave radiation, and, in real-time, analyze, report and/or control outputs (e.g., displays or speakers). The systems are configurable and use standard computing devices, such as wearable electronics (e.g., smart glasses), tablet computers, and mobile phones to measure various frequency bands across multiple points, allowing a single user to visualize and/or adjust environmental conditions.

Various embodiments of the present technology provide a novel deep learning-based error correction coding scheme for AWGN channels under the constraint of moderate to low bit quantization (e.g., one-bit quantization) in the receiver. Some embodiments of the error correction code minimize the probability of bit error can be obtained by perfectly training a special autoencoder, in which “perfectly” refers to finding the global minima of its cost function. However, perfect training is not possible in most cases. To approach the performance of a perfectly trained autoencoder with a suboptimum training, some embodiments utilize turbo codes as an implicit regularization, i.e., using a concatenation of a turbo code and an autoencoder.

System, methods, and computer-readable media for validating and committing a shared O-RU configuration via a shared O-RU Operator. The shared O-RU Operator validates a partitioned configuration received from a tenant operator, with the ability to indicate to the tenant operator that the partitioned configuration is conformant to agreed-upon sharing rules and then commits the shared configuration to the shared O-RU. The shared O-RU operator shares the outcome of the commit operation to the tenant operator via defined operational-data that can be read by the tenant operator. A single radio in O-RAN is shared by multiple different operators and enables a neutral host to deploy a radio unit and then have that attached to different operators networks.

A digitizing apparatus for transmitting electromagnetic telemetry signals to facilitate drilling operations comprises a local receiver and one or more remote transmitters. A method uses the remote transmitter to measure an electric potential between a pair of ground stakes that are positioned at some distance away from the local receiver. The local receiver is coupled to a surface receiver that is located at or near a drilling rig. The remote transmitter converts the electric potential into a digital signal and transmits the digital signal wirelessly to the local receiver. The local receiver then converts the digital signal into an analog signal that is provided to the surface receiver for processing. The remote transmitter and local receiver may comprise GPS clocks to synchronize the signals to maintain a constant phase shift.

Presented are systems and methods for automatically creating and labeling training data for training-based radio, comprising receiving, at a receiver, a frame that comprises a modulated radio frequency (RF) signal comprising a set of waveforms that correspond to payload data. The payload data comprises a sequence of random bits. In embodiments, until a stopping condition is met one or more steps are performed, comprising detecting the frame; demodulating the modulated RF signal to reconstruct the sequence of random bits; using the reconstructed sequence to determine whether the payload data has been correctly received; in response to determining that the payload data has not been correctly received, discarding it and, otherwise, accepting the sequence of random bits as a training label; associating the training label with the modulated RF signal to generate labeled training data; and appending the labeled training data to a labeled training data set.