The disclosed technology provides a system and method for evaluating candidate wireless sites within path search rings around centerpoints or new potential sites based on a portfolio of centerpoints, a portfolio of candidate sites, a variable radius of the path search rings, and a variable number of target candidates or paths sought within each path search ring, where the system and method computes radio path properties between the centerpoints and candidate sites and visually depicts bounding rings around centerpoints based on whether the target number of viable candidates or paths exist within the path search ring.

The disclosed technology provides a system and method for evaluating candidate wireless sites within path search rings around centerpoints or new potential sites based on a portfolio of centerpoints, a portfolio of candidate sites, a variable radius of the path search rings, and a variable number of target candidates or paths sought within each path search ring, where the system and method computes radio path properties between the centerpoints and candidate sites and visually depicts bounding rings around centerpoints based on whether the target number of viable candidates or paths exist within the path search ring.

Computer-implemented methods, systems, and computer-readable media for mobile device location-based in person meeting are described.

A method, wireless device and measuring station are disclosed that determine the best fit geo-location of a target station. According to one aspect, a method includes, using a “Pass Filter” for minimization of the summation of squared miss probabilities SSMP that improves the fitting process of the measured data over the method of minimization of the summation of the squared residuals (SSR) in the presence of spurious measurements. A “Pass Filter” approach is disclosed that reduces the corruption of the fitting process by outlier data and still yields the same result in the limit of clean data as the classic summation of the squared residuals (SSR) method.

A computer-implemented method, a computer program product, and a computer system for event-based dynamic prediction in location sharing on mobile devices. The computer system captures biometric data of a user, in response to starting location sharing requested by the user. The computer system collects action-based context of behavior of the user during the location sharing, determines activities of the user and one or more sharing users during the location sharing, determines context of the location sharing, tracks activities of the user and the one or more sharing users after the location sharing is ended, and tracks social network relationships between the user and the one or more sharing users. The computer system creates a knowledge corpus for training a machine learning model for prediction in a future location sharing event, using obtained information.

This disclosure provides a method of operating a base station in a cellular telecommunications network, and a base station unit for implementing the method, the base station having a central base station unit and a distributed base station unit, wherein the central base station unit and distributed base station unit communicate over a fronthaul link having a first and second capacity configuration, and the cellular telecommunications network further includes a User Equipment (UE) consuming a service via the base station.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine, based at least in part on one or more decoding outcomes associated with one or more downlink communications, a resource, of a set of candidate resources, to use for transmitting a channel state information (CSI) report. The UE may transmit the CSI report via the resource. Numerous other aspects are described.

A handheld computing device comprises: a display; a camera operable to capture image data representing a scene, the scene comprising a UAV; an RF receiver configured to receive identification data wirelessly from the UAV as a result of the UAV having broadcast the identification data; and a controller configured to cause the received identification data and/or data based on the received identification data to be displayed on the display at the same time as a representation of the UAV.

A handheld computing device comprises: a display; a camera operable to capture image data representing a scene, the scene comprising a UAV; an RF receiver configured to receive identification data wirelessly from the UAV as a result of the UAV having broadcast the identification data; and a controller configured to cause the received identification data and/or data based on the received identification data to be displayed on the display at the same time as a representation of the UAV.

Embodiments of the present application relate to the field of communications, and provide a method for evaluating a network service, an electronic device and a storage medium. The method for evaluating a network service comprises: performing statistical analysis on each key quality indicator (KQI) according to call detail record (CDR) data in a first cycle, to obtain a first threshold of each KQI; obtaining a second threshold of each KQI according to the first threshold of each KQI in a second cycle, wherein, the second cycle comprises at least one first cycle; and obtaining a perception score of the network service according to the second threshold of each KQI and CDR data in a third cycle. The method is applied to the process of evaluating the network service.