A method includes transmitting, by a transceiver configured to concurrently transmit over multiple transmit paths and receive over multiple receive paths, one or more signals, the transceiver comprising multiple transmit antennas and multiple receive antennas. The method also includes, for at least one of the multiple receive antennas: applying a transmit path model to one or more transmitted signals to generate one or more transmit path estimates, the transmit path model determined based on multiple analog power amplifiers associated with the multiple transmit paths; calculating one or more estimated self-interference (SI) signals based on the one or more transmit path estimates using an equalizer array comprising a predetermined channel model; and subtracting the one or more estimated SI signals from one or more receive signals received at the at least one receive antenna to obtain one or more residual signals.

The present invention discloses a system and method for simulating radio frequency (RF) signal propagation through a plurality of mediums using a plurality of configurable digital representations of building information model in two dimensional (2D) or augmented reality (AR) or virtual reality (VR) environments. The system comprising: a client interface, a processor and a memory. The processor comprising a building information model (BIM) generation unit, RF equipment conversion unit and a RF propagation prediction unit. The BIM generation unit is configured to translate 2D graphics into BIM data-sets, by reference to administrator input, to act as one or more parameters to control a generation of 2D or AR or VR environments. The RF equipment conversion unit is configured to transform adjunct data related to a physical configuration of one or more RF equipment into data models. The RF propagation prediction unit is configured to utilize the one or more parameters and the transformed data related to the physical configuration of the one or more RF equipment for simulating the RF signal propagation pattern predictions through the plurality of mediums.

Provided is an apparatus and method for transmitter identification. A transmitter identification apparatus may include a communicator configured to receive a signal from a transmitter at least once; and a processor configured to acquire a clock offset using the received signal, to acquire a cumulative clock offset by accumulating the clock offset, and to acquire analysis data based on a variance of the cumulative clock offset over time.

Certain aspects of the present disclosure provide techniques for enhancements to channel state information (CSI) reporting. A method that may be performed by a user equipment (UE) includes obtaining, from a network entity, a CSI reporting configuration for reporting CSI for a channel. The method further includes generating a model of an interference pattern for the channel, and predicting one or more candidate interference levels for one or more upcoming slots using the model. The method further includes reporting information regarding the candidate interference levels to the network entity.

Apparatuses, methods, and systems for dynamically estimating a propagation time between a first node and a second node of a wireless network are disclosed. One method includes receiving, by the second node, from the first node a packet containing a first timestamp representing the transmit time of the packet, receiving, by the second node, from a local time source, a second timestamp corresponding with a time of reception of the first timestamp received from the first node, calculating a time difference between the first timestamp and the second timestamp, storing the time difference between the first timestamp and the second timestamp, calculating a predictive model for predicting the propagation time based the time difference between the first timestamp and the second timestamp, and estimating the propagation time between the first node and the second node at a time by querying the predictive model with the time.

A method of tracking a user position using a crowd robot, a tag device, and a robot implementing the same are disclosed, and the robot includes a controller, which cumulatively stores position information of a tag device, generates a moving route corresponding to the stored position information of the tag device, and corrects the position information of the tag device based on position estimation information of a crowd robot around the tag device sent from the tag device.

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining one or more parameter characterizing a prospective connection of the mobile airborne article to first through Nth base stations, the one or more parameter including a Doppler shift; determining based on the examining that a criterion is satisfied, the criterion having one or more factor; and initiating handoff of the mobile airborne article to one of the first through Nth base stations based on the determining.

A method for operating a base station is provided. The method includes in response to a triggering event, fetching information on a base station (BS) configuration parameters comprising a location, a height, an antenna pattern, and topographical details surrounding the BS; determining the BS configuration parameters that are error prone and require re-estimation; obtain measurement reports created by at least one user equipment (UE); determining an audit method to perform an audit correction, the audit correction based on the one or more of the BS configuration parameters to re-estimate, available BS information and the measurement reports; performing the audit correction, to obtain a result based on a computed score for each candidate value of the BS configuration parameters; generating, based on the result, one or more corrective actions; and adjusting at least one of the BS configuration parameters based on the one or more corrective actions.

A system and method for improving connection reliability while navigating in cellular networks. Historical received by vehicles navigating within a cellular network are analyzed in order to create a signal propagation model. The cellular network is distributed across a geographic area including multiple cells, where each cell is a subdivision of the geographic area. The historical signals are received from transceivers deployed the cellular network. Based on the signal propagation model and an expected navigation path of the vehicle, a subset of transceivers within the cellular network is determined. The subset of transceivers is used for making selections about which transceivers the vehicle should communicate with, for example by transmitting the subset of transceivers to a system responsible for selecting which transceiver communicates with a given vehicle such that the system selects which transceiver to use from among the subset of transceivers.

The present disclosure provides radio-frequency (RF) systems that can detect the presence of RF signals received by the system, as well as determine characteristics such as the operating frequency of RF signals, the type of RF source that transmitted each RF signal, and/or the location of each RF source with high precision and sensitivity while using low cost, scalable electronics that are versatile enough for deployment in a variety of environments. Such systems can employ a network of RF sensors that can coordinate in response to communication with a computer to perform any such detection and/or determination using trained models executed onboard the RF sensors and/or the computer. RF signals may have unique characteristics when received at one or more RF sensors that may be detected using trained models described herein, even in high noise or non-line of sight (LOS) environments and with low cost, low resolution RF receiver hardware.