Abstract:
A circuit arrangement includes a preprocessing circuit configured to obtain context information related to a user location, a learning circuit configured to determine a predicted user movement based on context information related to a user location to obtain a predicted route and to determine predicted radio conditions along the predicted route, and a decision circuit configured to, based on the predicted radio conditions, identify one or more first areas expected to have a first type of radio conditions and one or more second areas expected to have a second type of radio conditions different from the first type of radio conditions and to control radio activity while traveling on the predicted route according to the one or more first areas and the one or more second areas.
Abstract:
A method can be performed by a first node for determining a parameter of physical (PHY) layer circuitry of a second node. The method can include implementing a cascaded hierarchy of techniques to determine, based on an electrical signal from a second node, a parameter of the PHY layer circuitry of the second node, and causing an antenna of the first node to transmit an electromagnetic wave consistent with the determined parameter.
Abstract:
A method for selecting at least one parameter for downlink data transmission with a mobile user equipment. The method is executable by a wireless communication base station having multiple antennas configured to communicate wirelessly with the mobile user equipment. The method receives an uplink probing signal from the mobile user equipment. The method determines a plurality of angles of arrival for a corresponding plurality of paths between the mobile user equipment and the multiple antennas. The method transmits a plurality of downlink probing signals directionally toward corresponding angles of arrival in the plurality of angles of arrival. Each downlink probing signal is a virtual antenna port with respect to the mobile user equipment. The method receives channel state information. The method composes at least one of a rank indicator (RI), precoding matrix indicator (PMI), or modulating and coding scheme (MCS) for downlink data transmission to the mobile user equipment.
Abstract:
Technologies for providing signal quality based route management for unmanned aerial vehicles include a device that includes circuitry to produce a data set indicative of a wireless communication signal quality at each of multiple locations in a geographic area. The circuitry is also to produce, as a function of the data set and a target wireless communication signal quality, a planned route for a vehicle through the geographic area.
Abstract:
A method for selecting at least one parameter for downlink data transmission with a mobile user equipment. The method is executable by a wireless communication base station having multiple antennas configured to communicate wirelessly with the mobile user equipment. The method receives an uplink probing signal from the mobile user equipment. The method determines a plurality of angles of arrival for a corresponding plurality of paths between the mobile user equipment and the multiple antennas. The method transmits a plurality of downlink probing signals directionally toward corresponding angles of arrival in the plurality of angles of arrival. Each downlink probing signal is a virtual antenna port with respect to the mobile user equipment. The method receives channel state information. The method composes at least one of a rank indicator (RI), precoding matrix indicator (PMI), or modulating and coding scheme (MCS) for downlink data transmission to the mobile user equipment.
Abstract:
A method and system for interference cancellation in a wireless communication device. The wireless communication device can include an interference estimator configured to generate one or more filter weights based on a transmit signal. The one or more filter weights can be generated based on one or more kernels generated by the interference estimator. The interference estimator can be configured to perform recursive linear square (RLS) estimations based on the one or more kernels. The RLS estimations can include one or more independent RLS estimations, one or more parallel RLS estimations and/or one or more cascade RLS estimations. The interference estimator can be configured to perform one or more orthogonally transform one or more kernels.
Abstract:
A method of processing signals may include calculating a covariance matrix and a correlation vector based on an input signal vector and an output signal vector; identifying a plurality of critical elements of a parameter vector based on a predefined criteria, wherein the parameter vector describes a relationship between the input signal vector and the output signal vector; calculating a solution to a linear system to generate a reduced parameter update vector having a plurality of elements, wherein the linear system is based on the plurality of critical elements of the parameter vector, the covariance matrix, and the correlation vector; updating the plurality of critical elements of the parameter vector using the reduced parameter update vector to generate an updated parameter vector, wherein the reduced parameter update vector has less elements than the parameter vector; and processing one or more signals associated with the input signal vector using the updated parameter vector.
Abstract:
Technology to adaptively sectorize a spatial region for parallel multi-user transmissions is disclosed. In an example, a node (e.g., evolved Node B (eNB)) can include computer circuitry configured to: Generate a set of precoding matrices for a set of beam cones in the spatial region; and generate a beam cone for multi-user beamforming transmissions using system information for the beam cone. A precoding matrix in the set of precoding matrices can be used for each beam cone, and each beam cone can cover a beam cone spatial region that differs from another beam cone spatial region of another beam cone in the spatial region. Each beam cone can include system information that differs from the system information of the other beam cones in the spatial region.
Abstract:
Various methods and devices for positioning autonomous agents including verifying a reported agent location using physical attributes of the received signal; improving agent formation for iterative localization; selecting agents for distributed task sharing; intelligent beacon-placement for group localization; relative heading and orientation determination utilizing time of flight; and secure Instrument Landing System (ILS) implementation for unmanned agents.
Abstract:
Systems and methods of beamforming and improving mmWave communications for drones are described. Multiple RF chains are used to adapt the main beam to track changes without the use of pilot signals. To reduce interference, interfering signal power is eliminated by optimizing a non-Gaussian measure to extract the interferers. The AoA of signals from a target drone on neighbouring drones and location of the neighbouring drones and base stations are used to independently corroborate the location reported by the target drone. The base station provides additional synchronization signals below 6 GHz and restricts the search/measurement space in the vertical direction. The inherent sparse structure above 6 GHz is exploited by applying different beamformers on a sounding signal and estimating the AoA and impulse response. Variations of fully digital and hybrid beamforming architectures for multi-cell DL sync and CRS measurement are described.