Abstract: An artificial neural network (ANN) is configured to convert input data bits to a corresponding discrete-time Orthogonal Frequency Division Multiplexing (OFDM) sequence. The ANN combines multiple baseband signal-processing operations, including bits-to-symbol mapping and OFDM modulation. Training tunes the ANN to provide the discrete-time OFDM signal with at least one of a low multiple input multiple output (MIMO) condition number, a predetermined number of eigenvalues above a threshold value, low peak-to-average-power ratio (PAPR), a low bit error probability, or a high bandwidth efficiency.

Abstract: A first user equipment (UE) obtains synchronization information from a base station in a cellular network; provisions a device-to-device (D2D) wireless network between the first UE and a second UE; embeds the synchronization information in a data payload of a shared channel employed for D2D communications with the second UE; and transmits the signal to the second UE. The synchronization information can include timing adjustments derived from Primary Synchronization Signals or Secondary Synchronization Signals received from the base station.

Abstract: A wireless communication device configures a first spatial subchannel in a shared frequency channel for communication with a first node in a first wireless network, and a second spatial subchannel in the shared frequency channel for communication with a second node in a second wireless network, the second wireless network different than the first wireless network. The wireless communication device employs the first spatial subchannel and the second spatial subchannel for communicating concurrently in the first wireless network and the second wireless network.

Abstract: Systems, methods, and apparatuses for efficiently transmitting wireless communication signals are provided. An artificial neural network (ANN) is configured to take in an input data symbol sequence and generate a corresponding discrete-time Orthogonal Frequency Division Multiplexing (OFDM) sequence therefrom. The ANN combines multiple baseband signal-processing operations, one of which includes OFDM modulation. Training data tunes the ANN to provide the discrete-time OFDM signal with at least one of a low multiple input multiple output (MIMO) condition number, a predetermined number of eigenvalues above a threshold value, low peak-to-average-power ratio (PAPR), a low bit error probability, or a high bandwidth efficiency.

Abstract: An unmanned aerial vehicle (UAV) uses a first baseband processor to establish a first communication link with a ground station of a wireless network and a second baseband processor that establishes a second communication link with a user device. Communication data is routed between the user device and the core network through the first communication link and the second communication link. The UAV receives control commands from a ground-based UAV controller that direct the UAV to travel according to a flight trajectory that is proximate to the user device.

Abstract: An unmanned aerial vehicle (UAV) uses a first baseband processor to establish a first communication link with a ground station of a wireless network and a second baseband processor that establishes a second communication link with a user device. Communication data is routed between the user device and the core network through the first communication link and the second communication link. The UAV receives control commands from a ground-based UAV controller that direct the UAV to travel according to a flight trajectory that is proximate to the user device.

Abstract: A receiver receives a multicarrier signal from a wireless communication network and determines subcarrier values of the multicarrier signal. A decoder decodes the subcarrier values to produce a set of data symbols. The multicarrier signal is characterized by a set of modulated pulse waveforms, which results from a sum of the subcarriers. Each of the modulated pulse waveforms has a different time offset. The decoder employs a set of codes for decoding the baseband signal, wherein each code comprises a different linearly increasing phase. Each of the linearly increasing phases corresponds to one of the different time offsets.

Abstract: A computer-implementable method employs network signal metadata to train a cognitive learning and inference system to produce an inferred function, wherein the metadata comprises a syntactic structure of at least one network communication protocol. The inferred function is used to map metadata of a detected network signal to a cognitive profile of a transmitter of the detected network signal. The mapping effects intelligent discrimination of the transmitter from at least one other transmitter through corroborative or negating evidentiary observation of properties associated with the metadata of the detected network signal. Information content in the network signal can be determined from the inferred function or the cognitive profile without demodulating the network signal.

Abstract: A transmitter in a wireless communication network includes a bits-to-symbol mapper that produces a plurality of data symbols; and a waveform modulator that receives a first discrete-time waveform and at least a second discrete-time waveform that comprises a cyclic shift of the first discrete-time waveform; modulates a first one of the plurality of data symbols onto the first discrete-time waveform and modulates a second one of the plurality of second data symbol onto the second discrete-time waveform, to produce a plurality of modulated discrete-time waveforms; and sums the plurality of modulated discrete-time waveforms to produce a modulated discrete-time signal to be transmitted in the network. The first discrete-time waveform and at least the second discrete-time waveform are multicarrier signals.

Abstract: A Multiple Input Multiple Output (MIMO) system in a radio access network (RAN) comprises a virtualized baseband unit, an antenna array; and a fronthaul network that connects the virtualized baseband unit to the antenna array. For a first set of antennas in the antenna array, the virtualized baseband unit generates a first MIMO matrix from channel state information (CSI); computes a sparse update matrix corresponding to an update to the first set of antennas; sums the sparse update matrix with the first MIMO matrix to produce a second MIMO matrix corresponding to a second set of antennas in the antenna array; determines which of the MIMO matrices results in a better CSI, MIMO condition number, peak-to-average-power ratio, or quality metric of spatial subchannels; and based on the determination, selects the first set of antennas or the second set of antennas to transmit or receive signals in the RAN.

Abstract: A receiver receives a multicarrier signal from a wireless communication network and determines subcarrier values of the multicarrier signal. A decoder decodes the subcarrier values to produce a set of data symbols. The multicarrier signal is characterized by a set of modulated pulse waveforms, which results from a sum of the subcarriers. Each of the modulated pulse waveforms has a different time offset. The decoder employs a set of codes for decoding the baseband signal, wherein each code comprises a different linearly increasing phase. Each of the linearly increasing phases corresponds to one of the different time offsets.

Abstract: Applications of CI processing to ad-hoc and peer-to-peer networking significantly improve throughput, network capacity, range, power efficiency, and spectral efficiency. CI-based subscriber units perform network-control functions to optimize network performance relative to channel conditions, network loads, and subscriber services. CI codes are used to identify and address network transmissions. Channel characteristics of communication links are employed to encode, address, and authenticate network transmissions. CI transceivers used as relays and routers employ unique characteristics of transmission paths to code and decode network transmissions. A central processor is adapted to perform array processing with signals received from, and transmitted by, a plurality of subscriber units in a wireless network.

Abstract: Systems, methods, and apparatuses for analyzing and synthesizing wireless communication signals are provided. A receiver might transform a received signal into a basis in which the transformed signal is sparse, which can reduce the complexity of joint detection by facilitating message passing algorithm (MPA) decoding. A transmitter might employ dense codewords in a first basis, which may facilitate certain signal-processing operations and may provide a transmission with a low peak-to-average-power ratio. The codewords can be designed to be sparse when transformed to a second basis. The codewords may be configured for non-orthogonal multiple access.

Abstract: A wireless user equipment (UE) device is configured to communicate with another UE via device-to-device (D2D) communications. The UE transmits a communication to the other UE, wherein the communication indicates scheduling of a shared spectrum resource. The shared spectrum resource is shared by a first network management operator (NMO) and a second NMO, wherein both the UE and the other UE are associated with the first NMO. The first NMO employs a first set of spatial channels in the shared spectrum resource, and a second set of spatial channels in the shared spectrum resource is made available for use by the second NMO, the second set being different from the first set. The UE communicates with the other UE over the first set of spatial channels.

Abstract: An apparatus for communication in a wireless communication network comprises a coder that encodes a set of data symbols to produce a set of coded symbols; a modulator that modulates the coded symbols onto a set of subcarrier frequencies to generate a time-domain signal comprising a sum of a set of modulated pulse waveforms; and a transmitter configured for transmitting the time-domain signal in the wireless communication network. The coder employs a matrix of spreading codes, wherein each column of the matrix multiplies a different one of the data symbols, which causes the modulator to produce a corresponding one of the set of modulated pulse waveforms. Each column of the matrix of spreading codes comprises a set of linearly increasing phases, which provides a time offset to the corresponding modulated pulse waveforms.

Abstract: An Orthogonal Frequency Division Multiplexing (OFDM) transmitter generates OFDM multiple-access signals with low Peak-to-Average-Power Ratio (PAPR). A code-division multiplexer arranges original data symbols from different data streams inside each length-N symbol block, which is spread by a Discrete Fourier Transform (DFT) spreader. The arrangement of the original data symbols configures the DFT spreader to spread each original data symbol into a predetermined spread-DFT code division multiple access channel. The resulting DFT-spread data symbols are mapped to OFDM subcarriers, and an inverse discrete Fourier transform (IDFT) operates on the DFT-spread data symbols to generate an OFDM transmission signal having low PAPR.

Abstract: A computer-implementable method employs network signal metadata to train a cognitive learning and inference system to produce an inferred function, wherein the metadata comprises a syntactic structure of at least one network communication protocol. The inferred function is used to map metadata of a detected network signal to a cognitive profile of a transmitter of the detected network signal. The mapping effects intelligent discrimination of the transmitter from at least one other transmitter through corroborative or negating evidentiary observation of properties associated with the metadata of the detected network signal. Information content in the network signal can be determined from the inferred function or the cognitive profile without demodulating the network signal.

Abstract: An unmanned aerial vehicle (UAV) uses a first baseband processor to establish a first communication link with a ground station of a wireless network and a second baseband processor that establishes a second communication link with a user device. Communication data is routed between the user device and the core network through the first communication link and the second communication link. The UAV receives control commands from a ground-based UAV controller that direct the UAV to travel according to a flight trajectory that is proximate to the user device.

Abstract: An apparatus for communication in a wireless communication network comprises a coder that encodes a set of data symbols to produce a set of coded symbols; a modulator that modulates the coded symbols onto a set of subcarrier frequencies to generate a time-domain signal comprising a sum of a set of modulated pulse waveforms; and a transmitter configured for transmitting the time-domain signal in the wireless communication network. The coder employs a matrix of spreading codes, wherein each column of the matrix multiplies a different one of the data symbols, which causes the modulator to produce a corresponding one of the set of modulated pulse waveforms. Each column of the matrix of spreading codes comprises a set of linearly increasing phases, which provides a time offset to the corresponding modulated pulse waveforms.

Abstract: Systems, methods, computer program products, and devices provide for computing an eigensystem from a first data set; computing updated eigenvalues that approximate an eigensystem of at least a second data set based on the eigensystem of the first data set; and evaluating a plurality of features in each of the first and at least second data sets using a cost function. The cost function uses fewer than the total number of eigenvalues and can include a condition number. The cost function can perform a coarse approximation of the eigenvalues to de-select at least one of the data sets. This can be useful for learning and/or online processing in an artificial neural network.