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:
To configure a UE for handover between a source evolved Node-B (eNB) and a target eNB using aerial communications in a cellular network, the UE processing circuitry is to decode measurement configuration information from the source eNB. The measurement configuration information includes a plurality of height thresholds associated with aerial height of the UE. A measurement report is encoded for transmission to the source eNB. The measurement report includes the aerial height of the UE and the measurement report generation triggered based on one or more triggering events associated with the plurality of height thresholds. RRC signaling from the source eNB is decoded, the RRC signaling including a handover command. The handover command is based on a handover decision by the source eNB using the measurement report. A handover from the source eNB to the target eNB is performed based on the handover command.
Abstract:
Methods and apparatus for predicting favored wireless service areas for drones are disclosed. A controller for a drone includes a service area identifier to identify favored wireless service areas during a flight of the drone. The favored wireless service areas are predicted by a model developed remotely from the drone. The controller also includes a service area selector to select one of the favored wireless service areas during the flight. The controller also includes a route manager to adjust a flight path of the drone during the flight based on the selected one of the favored wireless service areas.
Abstract:
A polynomial kernel generator is configured to mitigate nonlinearity in a receiver path from a transmitter path comprising a nonlinear component in a communication device or system. The polynomial kernel generator operates to generate polynomial kernels that can be utilized to model the nonlinearity as a function of a piecewise polynomial approximation applied to a nonlinear function of the nonlinearity. The polynomial kernel generator generates kernels in a multiplier less architecture with polynomial computations in a log domain using a fixed number of adders.
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 technology that is operable to schedule data transfer for a multiple user multiple-input and multiple-output (MU-MIMO) communications network is disclosed. In one embodiment, an enhanced node B (eNode B) is configured with circuitry configured to receive a sounding signal from each of a plurality of user equipment (UEs). One or more major paths of the sounding signals from each of the plurality of UEs are determined. An angle of arrival (AoA) is determined that is associated with each of the one or more major paths. The plurality of UEs are grouped into one or more candidate MU-MIMO sets using the AoAs associated with each of the one or more major paths. Data transmissions are scheduled for one or more of the candidate UEs of the candidate MU-MIMO set on one or more of the major paths of each of the candidate UEs.
Abstract:
A method for self-interference cancellation in a wireless communication device. The wireless communication device has an estimator, a transmitter and a cancellation device. The estimator is configured to estimate a known signal received from a second wireless communication device when the second wireless communication device is utilized less than a predetermined threshold. The transmitter is configured to transmit within a coherence time of the estimated known signal, a predetermined signal. The cancellation device is configured to cancel the estimated known signal from a received signal.
Abstract:
A technology that is operable to schedule data transfer for a multiple user multiple-input and multiple-output (MU-MIMO) communications network is disclosed. In one embodiment, an enhanced node B (eNode B) is configured with circuitry configured to receive a sounding signal from each of a plurality of user equipment (UEs). One or more major paths of the sounding signals from each of the plurality of UEs are determined. An angle of arrival (AoA) is determined that is associated with each of the one or more major paths. The plurality of UEs are grouped into one or more candidate MU-MIMO sets using the AoAs associated with each of the one or more major paths. Data transmissions are scheduled for one or more of the candidate UEs of the candidate MU-MIMO set on one or more of the major paths of each of the candidate UEs.
Abstract:
Embodiments described herein relate generally to a communication between a user equipment (“UE”) and an evolved Node B (“eNB”). A UE may be adapted to signal to an eNB a request to adjust a downlink transmission power level. Based on the request, the eNB may adjust its downlink transmission power level. In another embodiment, an eNB may be adapted to adjust its downlink transmission power level according to a pseudorandom sequence. This pseudorandom sequence may be generated from a seed, which the eNB may signal to a UE. Based on power adjustments and/or randomizations, a UE may perform interference cancellation. Other embodiments may be described and/or claimed.
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.