There is provided, an open radio access network distributed unit (O-DU) having an electronic module that performs an FS-8 Radio Access Technology (RAT) functionality.

Various embodiments provide for deep learning-based architectures and design methodologies for an orthogonal frequency division multiplexing (OFDM) receiver under the constraint of one-bit complex quantization. Single bit quantization greatly reduces complexity and power consumption in the receivers, but makes accurate channel estimation and data detection difficult. This is particularly true for OFDM waveforms, which have high peak-to average (signal power) ratio in the time domain and fragile subcarrier orthogonality in the frequency domain. The severe distortion for one-bit quantization typically results in an error floor even at moderately low signal-to-noise-ratio (SNR) such as 5 dB. For channel estimation (using pilots), various embodiments use novel generative supervised deep neural networks (DNNs) that can be trained with a reasonable number of pilots. After channel estimation, a neural network-based receiver specifically, an autoencoder jointly learns a precoder and decoder for data symbol detection.

This disclosure presents distributed and decentralized synchronization for wireless transceivers. The disclosed system, device, and method achieve sub-nanosecond synchronization using low-cost commercial off the shelf software defined radios. By providing a decentralized mechanism that does not rely on a hierarchical master-slave structure, networks constructed as disclosed are robust to sensor drop-out in contested or harsh environments. Such networks may be used to create phased array radars and communication systems without requiring wired connections to distribute a common clock or local oscillator reference.

The disclosure provides a method and a device in a communication node for wireless communications. The communication node first receives first information and then receives a first radio signal; only X1 bit(s) in a first bit block is(are) used for generating the first radio signal, the first bit block is obtained as an output of channel coding of a first code block, the first code block includes a positive integer number of bit(s), and the first bit block includes a positive integer number of bit(s); when channel decoding fails, at least X2 bit(s) in the first bit block can be used for decoding of the first code block with combining, the first information is used for determining the X2 bit(s), and the X2 is a positive integer. The disclosure reduces requirements on a buffer and reduces complexity.

Systems and methods for detecting radio frequency (“RF”) signals and corresponding origination locations are disclosed. An RF sensor device includes a software-defined radio and an antenna pair for receiving RF signals. Furthermore the RF sensor device may include a processing unit for processing/analyzing the RF signals, or the processing unit may be remote. The system calculates a phase difference between an RF signal received at two separate antennas of an antenna pair. The phase difference, the distance between the antennas, and the frequency of the RF signal are used for determining the origination direction of the RF signal. In various embodiments, the origination direction may indicate the location of a UAV controller or base station. The software-defined radio may include more than one antenna pair, connected to multiplexers, for efficiently scanning different frequencies by alternating active antenna pairs. Moreover, the system may execute packet-based processing on the RF signal data.

A software defined radio type radio receiver is used in an environment that is self-sufficient in energy. The radio receiver has a receiving device, which receives the data in the form of a data packet or a portion thereof or a data stream at a certain data rate, and provides the data for further data processing. Wherein in an operating mode, the data is diverted at the receiving device and supplied to a microcontroller at a sampling rate which preferably can be defined. The microcontroller decimates the data by selecting a subset from the set of samples, and the microcontroller buffers in a memory and provides for further processing the decimated data.

A typical Software Defined Radio (SDR) receiver for Binary Phase Shift Keying (BPSK) or higher order modulations accepts an incoming digital serial complex I/O channel sample stream and performs demodulation functions to recover the original baseband data stream that another source transmitted. Typically, for real-time high data rate (HDR)>5.0 Megabits per second (Mbps) operations, a SDR unit requires an Application Specific Integrated Circuit (ASIC) component or Field Programmable Gate Array (FPGA) component to perform the customized Digital Signal Processing (DSP) intensive processing functions in real-time. However, ASIC chips and FPGAs are typically relatively expensive to develop, purchase, and/or reconfigure. With the parallel multi-core algorithm method of this claim, one can now implement a real-time HDR (>5.0 Mbps) SDR Demodulator with only Commercial-Off-The-Shelf (COTS) software, a relatively inexpensive personal computer (PC) or server that contains a single multi-core General Purpose Processor (GPP), and especially without using ASICS or FPGAs.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a receiving device may receive, in a communication, an indication of a shaping filter to be used with one or more subsequent communications. The receiving device may receive the one or more subsequent communications having the shaping filter applied. Numerous other aspects are described.

The present disclosure provides radio-frequency (RF) systems that can detect the presence of RF signals received by the system, as well as determine characteristics such as the operating frequency of RF signals, the type of RF source that transmitted each RF signal, and/or the location of each RF source with high precision and sensitivity while using low cost, scalable electronics that are versatile enough for deployment in a variety of environments. Such systems can employ a network of RF sensors that can coordinate in response to communication with a computer to perform any such detection and/or determination using trained models executed onboard the RF sensors and/or the computer. RF signals may have unique characteristics when received at one or more RF sensors that may be detected using trained models described herein, even in high noise or non-line of sight (LOS) environments and with low cost, low resolution RF receiver hardware.

In a method for configuring a Software Defined Radio (SDR) capable user equipment, the SDR capable user equipment wirelessly loads an SDR program from a radio access network. The SDR capable user equipment executes the loaded SDR program, the SDR program on execution configuring the SDR capable user equipment to support a desired wireless communication technology. The SDR capable user equipment loads the SDR program using a dedicated SDR configuration channel, the dedicated SDR configuration channel being disjoint with any communication channel defined by the desired wireless communication technology. The SDR capable user equipment scans a predetermined frequency spectrum searching a broadcasted beacon. The SDR capable user equipment receives the broadcasted beacon and tunes to the dedicated SDR configuration channel or a subchannel thereof pointed to by a pointer for loading the SDR program.