Abstract: Systems, methods and computer software are disclosed for providing an energy efficient base station with synchronization. In one embodiment, a method is disclosed, comprising: performing traffic analysis to determine off-peak hours duration when traffic is light; updating downlink and uplink schedulers to transmit a minimum required signaling and control information; and wherein updating downlink and uplink scheduler for minimum required signaling and control information further comprises scheduling, in a downlink direction, at least one of transmitting only reference symbols over selected OFDM symbols, PDCCH on up to a first three OFDM symbols, PSS and SSS on a central six PRB s and PBCH.

Abstract: Systems and methods are disclosed for providing base station localization. In one embodiment the system includes a network including a base station such as a 5G gNodeB (gNB); a Hetnet Gateway (HNG) in communication with the gNB, wherein the HNG includes a location server and wherein the HNG virtualizes and abstracts a collection of base stations and provides a complex network under its purview as a simple base station to a mobile packet core network; a plurality of Hyper Sync Network (HSN) nodes in communication with the gNB and the HNG, wherein the plurality of HSN nodes listen to User Equipments (UEs) to locate the UEs and to synchronize clocks on the gNB with the collection of HSN nodes or other gNBs; and an Evolved Serving Mobile Location Center (E-SMLC) server in communication with the HNG and for reporting the location of a UE.

Abstract: Radar signal processing is performed using a plurality of signal processing units onboard a radar sensor unit. One of the signal processing units is designated as the primary processor whereas the remaining signal processing units are designated as secondary processors. Secondary processors, based on their configuration and capability, perform a subset of radar signal processing tasks. Secondary processors transmit a compressed bit stream of their partially processed results to the primary processor. The primary processor decompresses the bit streams received from a plurality of secondary processors, incorporates the partially processed results from a plurality of secondary processors with its locally processed results, performs final detections, and sends the final detections to a remote processor. When secondary processors perform detections in range, Doppler, and angle domains, and sends those to the primary processor, the primary processor employs consensus detection to produce final detections.

Abstract: Multi-channel compressed analog-to-digital (ADC) samples along with compressed calibration data received from the radar unit are de-compressed on the centralized signal processing unit prior to calibration compensation and DC-offset removal. Time-domain samples on each antenna channel are processed into range-domain samples and range-Doppler samples using windowing and FFT operations. For each range-domain sample, angle-domain samples are generated by performing windowing and angle-domain FFT operation over antenna channels. Joint object detection is performed separately on de-compressed ADC samples, range-domain samples, range-Doppler samples, or range-angle samples to provide detection metrics and confidence levels for each detected object.

Abstract: Complex-valued waveform samples in time-domain, frequency-domain and spatial-domain are organized into a plurality of dimensions. A vector of complex-valued samples is extracted from a multidimensional sample buffer. An input transform is applied to a vector of complex-valued samples to produce two vectors of real-valued samples. Each real-valued sample vector is processed to produce a two-dimensional codebook matrix and to generate a vector of indices into the columns of the generated codebook. The two indices vectors are merged to produce an encoded index stream. The encoded index stream along with the two codebooks is used to produce real-valued sample vectors. An output transform is applied to two real-valued sample vectors to produce a vector of complex-valued samples.

Abstract: A plurality of sensors are controlled and processed by an electronic control unit (ECU). Each sensor compresses the raw data samples, encapsulates them into IP packets, and transmits them to the ECU over the Ethernet transport. The ECU decompresses the IP packets, and individually performs sensor-specific signal processing prior to performing multi-modal sensor fusion. Additionally, if the underlying sensor is a Radar sensor, the ECU performs interference detection, interference mitigation, interference management, transmits compressed beamforming weights to enable transmit beamforming on the Radar sensor.

Abstract: Systems and methods are disclosed for providing base station localization. In one embodiment the system includes a network including a base station such as a 5G gNodeB (gNB); a Hetnet Gateway (HNG) in communication with the gNB, wherein the HNG includes a location server and wherein the HNG virtualizes and abstracts a collection of base stations and provides a complex network under its purview as a simple base station to a mobile packet core network; a plurality of Hyper Sync Network (HSN) nodes in communication with the gNB and the HNG, wherein the plurality of HSN nodes listen to User Equipments (UEs) to locate the UEs and to synchronize clocks on the gNB with the collection of HSN nodes or other gNBs; and an Evolved Serving Mobile Location Center (E-SMLC) server in communication with the HNG and for reporting the location of a UE.

Abstract: A plurality of radar sensors and radio units are controlled and processed by a signal processing unit (SPU). Each radar sensor receives configuration, control, power management, and calibration messages along with compressed data stream for transmission from the SPU over a multi Giga-bit interface (MGBI). Each radar sensor transmits status messages and compressed received data stream to the SPU over an MGBI. The SPU performs radar signal processing and tracking upon decompressing the data stream received from the radar sensor. Each radio unit receives configuration, control, power management, and calibration messages along with compressed frequency-domain waveform samples for each transmitter antenna port and for each component carrier configured by the SPU over an MGBI. Each radio unit transmits status messages along with compressed calibration data and compressed frequency-domain waveform samples for each receive antenna port and for each component carrier configured by the SPU over an MGBI.

Abstract: Systems, methods and computer software are disclosed for providing an energy efficient base station with synchronization. In one embodiment, a method is disclosed, comprising: performing traffic analysis to determine off-peak hours duration when traffic is light; updating downlink and uplink schedulers to transmit a minimum required signaling and control information; and wherein updating downlink and uplink scheduler for minimum required signaling and control information further comprises scheduling, in a downlink direction, at least one of transmitting only reference symbols over selected OFDM symbols, PDDCH on to a first three OFDM symbols, PSS and SSS on a central six PRBs and PBCH.

Abstract: Systems, methods and computer software are disclosed for providing an energy efficient base station with synchronization. In one embodiment, a method is disclosed, comprising: performing traffic analysis to determine off-peak hours duration when traffic is light; updating downlink and uplink schedulers to transmit a minimum required signaling and control information; and wherein updating downlink and uplink scheduler for minimum required signaling and control information further comprises scheduling, in a downlink direction, at least one of transmitting only reference symbols over selected OFDM symbols, PDDCH on to a first three OFDM symbols, PSS and SSS on a central six PRBs and PBCH.

Abstract: Systems and methods are disclosed for providing base station localization. In one embodiment the system includes a network including a base station such as a 5G gNodeB (gNB); a Hetnet Gateway (HNG) in communication with the gNB, wherein the HNG includes a location server and wherein the HNG virtualizes and abstracts a collection of base stations and provides a complex network under its purview as a simple base station to a mobile packet core network; a plurality of Hyper Sync Network (HSN) nodes in communication with the gNB and the HNG, wherein the plurality of HSN nodes listen to User Equipments (UEs) to locate the UEs and to synchronize clocks on the gNB with the collection of HSN nodes or other gNBs; and an Evolved Serving Mobile Location Center (E-SMLC) server in communication with the HNG and for reporting the location of a UE.

Abstract: Systems, methods and computer software are disclosed for providing high resolution timing advance estimation based on Physical Random Access Channel (PRACH). An example method includes receiving a preamble signal r(n); performing signal conditioning on r(n); down sampling the signal and performing antialiasing filtering to provide a y(n) signal; correlating y(n) with a reference preamble with a reference preamble sequence c(n) to provide correlation output Ryc; using a peak value P of the correlation output Ryc to detect a preamble ID and a timing advance; constructing a sequence s(n) by segmenting r_centered(n) for length L around an index P*24; performing time domain interpolation of c(n) around index P to obtain a sequence c_interpolated(n); performing time domain interpolation between sequences s(n) and c_interpolated(n); detecting a peak position Q of the correlation; and deriving TA as P*24?L/2+q in terms of Ts.

Abstract: Systems, methods and computer software are disclosed for providing an energy efficient base station with synchronization. In one embodiment, a method is disclosed, comprising: performing traffic analysis to determine off-peak hours duration when traffic is light; updating downlink and uplink schedulers to transmit a minimum required signaling and control information; and wherein updating downlink and uplink scheduler for minimum required signaling and control information further comprises scheduling, in a downlink direction, at least one of transmitting only reference symbols over selected OFDM symbols, PDDCH on to a first three OFDM symbols, PSS and SSS on a central six PRBs and PBCH.

Abstract: Systems, methods and computer software are disclosed for providing high resolution timing advance estimation based on Physical Random Access Channel (PRACH). An example method includes receiving a preamble signal r(n); performing signal conditioning on r(n); down sampling the signal and performing antialiasing filtering to provide a y(n) signal; correlating y(n) with a reference preamble with a reference preamble sequence c(n) to provide correlation output Ryc; using a peak value P of the correlation output Ryc to detect a preamble ID and a timing advance; constructing a sequence s(n) by segmenting r_centered(n) for length L around an index P*24; performing time domain interpolation of c(n) around index P to obtain a sequence c_interpolated(n); performing time domain interpolation between sequences s(n) and c_interpolated(n); detecting a peak position Q of the correlation; and deriving TA as P*24?L/2+q in terms of Ts.

Abstract: Data can be received characterizing a first signal transmitted in an orthogonal frequency-division multiplexing (OFDM) system by a transmitter with one or more transmit antennas through a wireless channel and received by a receiver with a plurality of receive antennas, the first signal including a plurality of pilot pulses. A final estimated channel impulse response of the wireless channel can be determined for each pair of transmitter and receiver antennas by iteratively finding one or more significant delay taps of an intermediate channel impulse response estimate and adding the one or more significant delay taps to an error of the intermediate channel impulse response estimate. Data characterizing the final estimated channel impulse response can be provided. Related apparatus, systems, techniques, and articles are also described.

Abstract: Data characterizing a first signal transmitted in an orthogonal frequency-division multiplexing (OFDM) system by a transmitter with one or more transmit antennas through an in-band channel and received by a receiver with a plurality of receive antennas can be received. The first signal can include one or more in-band pilot pulses. A channel quality for an out-of-band channel can be predicted based on the received data and a cross-correlation between an in-band channel and one or more out-of-band channels. Data characterizing the predicted channel quality for the out-of-band channel can be provided. Related apparatus, systems, techniques, and articles are also described.

Abstract: Data characterizing a first signal transmitted in an orthogonal frequency-division multiplexing (OFDM) system by a transmitter with one or more transmit antennas through an in-band channel and received by a receiver with a plurality of receive antennas can be received. The first signal can include one or more in-band pilot pulses. A channel quality for an out-of-band channel can be predicted based on the received data and a cross-correlation between an in-band channel and one or more out-of-band channels. Data characterizing the predicted channel quality for the out-of-band channel can be provided. Related apparatus, systems, techniques, and articles are also described.

Abstract: Data can be received characterizing a first signal received on a plurality of antennas and comprising multiple transmission signals transmitted simultaneously on at least a same resource element in an orthogonal frequency-division multiple access (OFDM) communications system. A final estimate of the multiple transmission signals can be determined from at least the received data by iteratively estimating multiple transmission signals from the first signal and feeding back selected estimated multiple transmission signals, which satisfy a criterion, to cancel components of the first signal. Data characterizing the estimated multiple transmission signals can be provided. Related apparatus, systems, techniques, and articles are also described.

Abstract: Data can be received characterizing a first signal received on a plurality of antennas and comprising multiple transmission signals transmitted simultaneously on at least a same resource element in an orthogonal frequency-division multiple access (OFDM) communications system. A final estimate of the multiple transmission signals can be determined from at least the received data by iteratively estimating multiple transmission signals from the first signal and feeding back selected estimated multiple transmission signals, which satisfy a criterion, to cancel components of the first signal. Data characterizing the estimated multiple transmission signals can be provided. Related apparatus, systems, techniques, and articles are also described.

Abstract: Data can be received characterizing a first signal transmitted in an orthogonal frequency-division multiplexing (OFDM) system by a transmitter with one or more transmit antennas through a wireless channel and received by a receiver with a plurality of receive antennas, the first signal including a plurality of pilot pulses. A final estimated channel impulse response of the wireless channel can be determined for each pair of transmitter and receiver antennas by iteratively finding one or more significant delay taps of an intermediate channel impulse response estimate and adding the one or more significant delay taps to an error of the intermediate channel impulse response estimate. Data characterizing the final estimated channel impulse response can be provided. Related apparatus, systems, techniques, and articles are also described.