Abstract: Various embodiments comprise systems, methods, architectures, mechanisms or apparatus for determining a subsequent time slot position for each of a plurality of spatially distributed relays configured for time slot based beamforming supporting a communication channel between a source and a destination.

Abstract: Various embodiments comprise systems, methods, architectures, mechanisms and apparatus providing a dual-function radar communication (DFRC) system a multiple-input multiple-output (MIMO) radar is configured to have only a small number of its antennas active in each channel use. Probing waveforms are of an orthogonal frequency division multiplexing (OFDM) type. OFDM carriers are divided into two groups, one group that is used by the active antennas in a shared fashion, and another group where each subcarrier is assigned to an active antenna in an exclusive fashion (e.g., private subcarriers). Target estimation is carried out based on the received and transmitted symbols. The system communicates information via the transmitted OFDM data symbols and the pattern of active antennas in a generalized spatial modulation (GSM) fashion. A multi-antenna communication receiver can identify the indices of active antennas via sparse signal recovery methods.

Abstract: Various embodiments comprise systems, methods, architectures, mechanisms and apparatus for relay beamforming of mmWave communications in an environment having signal blockage and signal attenuation challenges, such as found in an urban setting. The various embodiments support distributed, relay-assisted beamforming mechanisms that exploit the spatial diversity of mmWave signal propagation, including a resource efficient relay selection scheme designed to optimally enhance QoS in 2-hop Amplify-and-Forward (AF) cooperative networks. Relay selection is implemented in a predictive and distributed manner, with some embodiments also employing predictive schemes to optimally select transmitting relays.

Abstract: A system and method for blind estimation of carrier frequency offsets (CFOs) and separation of user signals in wireless communications systems are provided. Blind estimation of CFOs (i.e., without knowledge of the conditions of the transmitter or the transmission medium/channel) is carried out in order to improve reception quality by a wireless communications device. A received RF signal is over-sampled by a pre-defined over-sampling factor, and polyphase components are extracted from the over-sampled signal. The polyphase components are used to construct a virtual receiver output matrix, e.g., a model of the received signal and its associated output matrix. System response conditions are blindly estimated by applying a blind system estimation algorithm to the virtual receiver output matrix.

Abstract: A system and method for blind estimation of carrier frequency offsets (CFOs) and separation of user signals in wireless communications systems are provided. Blind estimation of CFOs (i.e., without knowledge of the conditions of the transmitter or the transmission medium/channel) is carried out in order to improve reception quality by a wireless communications device. A received RF signal is over-sampled by a pre-defined over-sampling factor, and polyphase components are extracted from the over-sampled signal. The polyphase components are used to construct a virtual receiver output matrix, e.g., a model of the received signal and its associated output matrix. System response conditions are blindly estimated by applying a blind system estimation algorithm to the virtual receiver output matrix.