Abstract: A communication system includes a central cloud server that obtains a plurality of sensed parameters from each edge device of a plurality of edge devices based on a discovery process at each edge device. The plurality of sensed parameters is associated with at least one of a donor antenna array or one or more relay antenna arrays of each edge device. The central cloud server causes a machine learning model to find correlation among a plurality of data points of the plurality of sensed parameters. The central cloud server formulates, using the correlation, rules to establish, maintain, and select one or more edge devices of the plurality of edge devices in advance for one or more signal obstruction scenarios. The rules are formulated to serve one or more remote User Equipment (UEs) and to identify optimal signal transmission paths to reach to the one or more remote UEs.

Abstract: A first edge device includes a processor configured to capture sensing information of the surrounding area and periodically communicate the sensing information, which includes position, to a central cloud server. Based on the obtained sensing information, the processor obtains initial access information and sets various parameters, including beam indices for uplink and downlink communication, a Physical Cell Identity (PCID) for base station connection, and a beam configuration to service user equipment (UEs). The first edge device also communicates beam alignment information to the central cloud server and determines, based on a comparison of a performance state of a wireless connection of a UE associated with the first edge device to a threshold performance value, whether to request a handover of the UE via the central cloud server.

Abstract: A central cloud server that includes a processor that obtains sensing information from a plurality of edge devices at different locations, obtains beam alignment information from the plurality of edge devices, and trains a machine learning model on training data. The training data comprises the obtained sensing information as input features and the beam alignment information as learning labels for different times-of-day. The machine learning model is trained to determine patterns that maps the input features to the learning labels and to generate a connectivity enhanced database. The connectivity enhanced database specifies a plurality of time-of-day specific uplink and downlink beam alignment-wireless connectivity relationships for a surrounding area of each edge device of the plurality of edge devices.

Abstract: A method for spectrum monitoring includes capturing radio frequency (RF) signals using a multiple-input-multiple-output (MIMO) antenna array in a wireless communication device. Band-specific filtering is applied to the captured RF signals before digitization to isolate signals of interest. Spectral analysis is performed on the signals of interest using Fast Fourier Transform (FFT) and wavelet transforms to extract frequency-domain features. Multi-dimensional analysis combining spectral, temporal, and spatial processing is applied on the frequency-domain features to extract features. The extracted features are compared against characteristic patterns of known signal types in a pattern recognition database. An artificial neural network (ANN) model is executed on the extracted features to determine a signal classification when the extracted features do not belong to the characteristic patterns of the known signal types in the pattern recognition database.

Abstract: A system comprising a relay device that establishes a first link between the relay device and a source device. Further, the relay device performs phase shifting of a signal by a different value for each element within a first set of antenna arrays in the plurality of antenna arrays corresponding to the first link. A mode of relay operation of the plurality of antenna arrays is selected based on an analysis of communication environment information from end-user application devices, the mode of relay operation being an active mode or a passive mode of operation. The relay device receives a data stream from the source device through the first link based on the selection of the mode of relay operation and is forwarded to the destination device through a second link between the relay device and a destination device based on a selection of the mode of relay operation.

Abstract: A wireless communication device includes a first wireless radio transceiver to operate on a first frequency band with a first time-division duplexing (TDD) configuration that allocates more time for radio frequency (RF) signal transmission than RF signal reception, a second wireless radio transceiver that operates on second frequency band with second TDD configuration that allocates more time for RF signal reception than RF signal transmission, one or more dual-polarized phased array antennas, and a processor. The processor executes a trained artificial neural network (ANN) model to predict local data transmission and reception demand based on historical data usage patterns at the wireless communication device, adjusts the first TDD configuration and the second TDD configuration based on the local data transmission and reception demands, and generates, via the one or more dual-polarized phased array antennas, a plurality of beams of RF signals in a narrow beam pattern.

Abstract: A wireless communication device includes a processor that receives radio frequency (RF) signal data of one or more RF signals associated with one or more RF signal sources. The processor generates a plurality of frequency bins from the received RF signal data based on a default resolution mode preset at the wireless communication device. The default resolution mode is associated with a first frequency bin size. The processor determines that the one or more RF signals are present in one of overlapping frequency bins or distinct frequency bins within the plurality of frequency bins and assigns a complexity level to the received RF signal data based on the determination. The processor transitions from the default resolution mode to one of a first resolution mode or a second resolution mode based on the assigned complexity level.

Abstract: A wireless communication device includes a processor that determines a signal type is one of a spread spectrum signal or a non-spread spectrum signal. The determination is based on a signal-type analysis on digitized down-converted signals. The digitized down-converted signals are input signals in a plurality of different intermediate frequency bands. The processor executes a multi-dimensional signal state processing operation to generate a plurality of signal state representations for each intermediate frequency band of a plurality of different intermediate frequency bands when the determined signal type is the spread spectrum signal. The processor determines one or more correlated signal patterns across the generated plurality of signal state representations when the determined signal type is the spread spectrum signal. The processor controls the wireless communication device to trigger an operational response based on the determined one or more correlated signal patterns.

Abstract: A wireless communication device includes a multiple-input-multiple-output (MIMO) antenna array comprising a plurality of dual-polarized antennas configured to receive radio frequency (RF) signals in vertical and horizontal polarizations across a plurality of frequency bands. The device further includes a radio frequency (RF) front-end coupled to the MIMO antenna array. The RF front-end applies band-specific filtering to isolate signals-of-interest and down-converts and digitizes the signals-of-interest to predefined intermediate frequencies to obtain digitized down-converted signals. The RF front-end includes a WLAN radio having distinct RF chains for concurrent operations across different frequency bands. A processor is configured to set a plurality of operational parameters for processing the digitized down-converted signals and to process the digitized down-converted signals across a plurality of distinct signal domains.

Abstract: A system for time division duplexing (TDD) synchronization in a wireless network includes a master access point (MAP) device that periodically transmits a synchronization signal to one or more repeater devices of a plurality of repeater devices. The system includes a repeater device that receives the synchronization signal, extracts a TDD pattern and a duty cycle from the synchronization signal, monitors signal quality indicator data associated with the synchronization signal received from the MAP device, filters the signal quality indicator data to remove transient fluctuations indicative of noise, and determines, over a predetermined time window, an average from the filtered signal quality indicator data.

Abstract: An access repeater device that controls transmission of a first beam of radio frequency (RF) signals at a first transmit (Tx) power level. A first user equipment (UE) of a set of UEs is detected at a first distance from the access repeater device at a first instance. The access repeater device identifies that a second UE responds to the first beam of RF signals communicated in a test direction from a plurality of different test directions. The access repeater device modulates a transmit power output of the first beam of RF signals towards the second UE in the test direction.

Abstract: A wireless communication device includes a multiple-input-multiple-output (MIMO) antenna array having a plurality of dual-polarized antennas configured to receive radio frequency (RF) signals in vertical and horizontal polarizations across a plurality of frequency bands. The device further includes a radio frequency (RF) frontend coupled to the MIMO antenna array. The RF frontend applies band-specific filtering to isolate signals-of-interest and down-converts and digitizes the signals-of-interest to predefined intermediate frequencies to obtain digitized down-converted signals. The device further includes a processor configured to determine signal characteristics of the digitized down-converted signals across a first intermediate frequency band and a second intermediate frequency band based on spatial analysis. The signal characteristics comprise temporal signal properties, spatial properties from MIMO antenna inputs, and polarization properties corresponding to vertical and horizontal components.

Abstract: A wireless communication system includes a master wireless communication device, a plurality of intermediate repeater devices, and one or more service wireless communication devices. Each intermediate repeater device receives, from an upstream network node, a first RF carrier signal in a first frequency carrying a download data stream and further relays, the download data stream in a second RF carrier signal at a second frequency to a downstream network node. The second frequency is a first offset of the first frequency. Each intermediate repeater device further receives a third RF carrier signal carrying an upload data stream in a third frequency from a downstream network node and further communicates the upload data stream in a fourth RF carrier signal in a fourth frequency to the upstream network node. The fourth frequency is a second offset of the third frequency.

Abstract: A wireless communication device includes one or more antenna arrays that receives RF signals across a plurality of frequency bands. The wireless communication device applies band-specific filtering operation to the received RF signals to obtain filtered RF signals. The wireless communication device converts and digitizes the filtered RF signals to obtain digitized intermediate frequency (IF) signals. The wireless communication device executes a plurality of spectrum measurements for the digitized IF signals. Each spectrum measurement of the plurality of spectrum measurements is based on a different offset frequency of a sequence of offset frequencies. Each spectrum measurement is associated with a first frequency resolution. The processor stores phase coherence information for each spectrum measurement.

Abstract: A method implemented in a relay device that comprises a plurality of antenna arrays, includes configuring first beamforming setting for first set of antenna arrays of the plurality of antenna arrays of the relay device to establish a first link between the relay device and a source device. A first data stream is received with a first beam pattern from the source device through the first link and a second data stream with a second beam pattern is forwarded to a destination device through second link without de-modulating the first data stream. The method further includes monitoring a first set of communication parameters associated with the first set of antenna arrays, where the first beamforming setting is configured based on the monitoring of the first set of communication parameters.

Abstract: A repeater system includes a first repeater device that includes a first processor that sets the first repeater device as a source of a Synchronization Signal Block (SSB) signal independent of gNB. The first processor generates a pseudo-SSB signal before establishing any connection with the gNB in a pre-connection stage. The first processor further steers the pseudo-SSB signal across multiple directions to cover a sector of the first repeater device when the first repeater device is set as the source of the SSB signal. The first processor receives feedback including a plurality of signal assessment parameters from a second repeater device based on the pseudo-SSB signal received at the second repeater device. The first processor passes the feedback to a first AI-based controller to interpret the feedback received from the second repeater device and automatically update the pseudo-SSB signal and the steering of the pseudo-SSB signal.

Abstract: An edge device includes an antenna array and a sensor that senses a surrounding area of the edge device. The edge device further includes control circuitry that detects a user in the surrounding area of the edge device, tracks the detected first user in the surrounding area of the edge device, and controls the first antenna array to direct, concurrently with the sensing of the surrounding area, a first beam of radio-frequency (RF) signal in a second frequency band in a first direction of the tracked first user, where the first frequency band is different from the second frequency band.

Abstract: A wireless communication device for spectrum monitoring includes an RF front-end and a processor that adjusts operational parameters of the RF front-end to process received RF signals to obtain digitized down-converted signals that include spectrum data. The RF front-end generates a hardware interrupt signal when a defined spectrum monitoring event is detected. Based on the hardware interrupt signal, a first processing path is initiated to transfer the spectrum data to a memory via a direct memory access operation. Based on the hardware interrupt signal, a second processing path is concurrently initiated to perform signal analysis on the spectrum data and extract spectral features. The processor executes a signal classification operation on the extracted spectral features and re-adjust the plurality of operational parameters of the RF front-end based on results from the executed signal classification operation.

Abstract: A communication system that includes a plurality of network nodes interconnected in a hierarchical communication network. Each network node of the plurality of network nodes is associated with a level of hierarchy of distinct levels of hierarchy in the hierarchical communication network. The plurality of network nodes includes a global master node that performs a continuous collection and analysis of network-wide telemetry information across the distinct levels of hierarchy to implement a dynamic reassignment of hierarchical roles of specific network nodes of the plurality of network nodes. The dynamic reassignment is based on at least one of: changing positions of the specific network nodes, connectivity quality of the specific network nodes, or operational characteristics of the specific network nodes.

Abstract: A system for distributed spectrum monitoring includes a central cloud server that obtains multi-link operation (MLO) data streams from a plurality of wireless communication devices distributed across a plurality of different spatial locations. Each wireless communication device of the plurality of wireless communication devices is configured to concurrently operate at a plurality of different predetermined intermediate frequency bands. The central cloud server includes a processor that synchronizes the obtained MILO data streams from the plurality of wireless communication devices distributed across the plurality of different spatial locations. The processor further performs a cross-correlation between the synchronized MLO data streams and causes the plurality of wireless communication devices to maintain a synchronized timing reference across the plurality of wireless communication devices.