Abstract: A method includes receiving an indication to transmit a first set of signals using a first standard (e.g., Long Term Evolution) via a first set of antennas of a radio frequency device and a second set of signals using a second standard (e.g., New Radio) via a second set of antennas. The method also includes transmitting the first set of signals via the first set of antennas using a first power based on positions of the first set and second set of antennas, exposure conditions of the first set and the second set of signals on a user, and/or priorities of the first and the second set of signals. Moreover, the method includes transmitting the second set of signals via the second set of antennas using a second power based on the positions of the antennas, the exposure conditions of the signals on the user, and/or priorities of the signals.

Abstract: Embodiments described herein relate to managing access to 5G cellular baseband resources for 5G-capable wireless devices. A wireless device can monitor application workloads by analyzing communication network performance requirements for a given application in-use or launching for future use along with system-level indications of overall device usage, battery level, and mobility status to determine whether access to 5G cellular baseband resources is recommended for an application. A 5G cellular baseband resource recommendation is provided for an application indicating a level of bandwidth in current use or expected for future use as well as a confidence metric in the bandwidth level indication. The 5G cellular baseband resource recommendation is used with additional device criteria to determine whether access to one or more 5G radio frequency bands is allowed.

Abstract: Systems and techniques are disclosed for statistically associating mobile devices and non-mobile devices with geographic areas. One of the methods includes for each selected mobile device of a plurality of mobile devices, receiving latitude-longitude pairs for the selected mobile device, the latitude-longitude pairs corresponding to a location of the selected mobile device during a time period. The plurality of latitude-longitude pairs are organized into clusters, with the clusters corresponding to geographic regions visited by the selected mobile device during the time period. A score is calculated for each cluster, the score representing a likelihood that a user of the selected mobile device resides in a household within the cluster. A location of the user's household is identified to be within one of the geographic areas corresponding to the cluster having the highest score. The mobile device is associated with the geographic area having the highest score.

Abstract: Systems and techniques are disclosed for statistically associating mobile devices and non-mobile devices with geographic areas. One of the methods includes for each selected mobile device of a plurality of mobile devices, receiving latitude-longitude pairs for the selected mobile device, the latitude-longitude pairs corresponding to a location of the selected mobile device during a time period. The plurality of latitude-longitude pairs are organized into clusters, with the clusters corresponding to geographic regions visited by the selected mobile device during the time period. A score is calculated for each cluster, the score representing a likelihood that a user of the selected mobile device resides in a household within the cluster. A location of the user's household is identified to be within one of the geographic areas corresponding to the cluster having the highest score. The mobile device is associated with the geographic area having the highest score.

Abstract: Systems and techniques are disclosed for statistically associating mobile devices and non-mobile devices with geographic areas. One of the methods includes for each selected mobile device of a plurality of mobile devices, receiving latitude-longitude pairs for the selected mobile device, the latitude-longitude pairs corresponding to a location of the selected mobile device during a time period. The plurality of latitude-longitude pairs are organized into clusters, with the clusters corresponding to geographic regions visited by the selected mobile device during the time period. A score is calculated for each cluster, the score representing a likelihood that a user of the selected mobile device resides in a household within the cluster. A location of the user's household is identified to be within one of the geographic areas corresponding to the cluster having the highest score. The mobile device is associated with the geographic area having the highest score.

Abstract: Systems and techniques are disclosed for statistically associating mobile devices and non-mobile devices with geographic areas. One of the methods includes for each selected mobile device of a plurality of mobile devices, receiving latitude-longitude pairs for the selected mobile device, the latitude-longitude pairs corresponding to a location of the selected mobile device during a time period. The plurality of latitude-longitude pairs are organized into clusters, with the clusters corresponding to geographic regions visited by the selected mobile device during the time period. A score is calculated for each cluster, the score representing a likelihood that a user of the selected mobile device resides in a household within the cluster. A location of the user's household is identified to be within one of the geographic areas corresponding to the cluster having the highest score. The mobile device is associated with the geographic area having the highest score.