Abstract: The described technology is generally directed towards a frequency-aware cellular communication network. A mobile device, or a radio access network (RAN) device at a base station in communication with the mobile device, can proactively notify a core network device regarding changes of a frequency band used for communications between the mobile device and the base station. The core network can use received notifications to adjust service provided to the mobile device.

Abstract: Core network slices that belong to a given operator community are efficiently tracked at the network control/user plane functions level, with rich data analytics in real-time based on their geographic instantiations. In one aspect, an enhanced vendor agnostic orchestration mechanism is utilized to connect a unified management layer with an integrated slice-components data analytics engine (SDAE), a slice performance engine (SPE), and a network slice selection function (NSSF) in a closed-loop feedback system with the serving network functions of one or more core network slices. The tight-knit orchestration mechanism provides economies of scale to mobile carriers in optimal deployment and utilization of their critical core network resources while serving their customers with superior quality.

Abstract: The described technology is generally directed towards a frequency-aware cellular communication network. A mobile device, or a radio access network (RAN) device at a base station in communication with the mobile device, can proactively notify a core network device regarding changes of a frequency band used for communications between the mobile device and the base station. The core network can use received notifications to adjust service provided to the mobile device.

Abstract: Unlike smart devices, Internet of things (IoTs), such as meter readers, generate very low revenue per user. Traditional tunnel/bearer based connection-oriented architectures do not scale economically for billions of IoT devices due to the amount of signaling overhead associated with GTP tunnel setup/tear down and the states related to GTP tunnels maintained at various parts of the mobile network. However, the mobility network can efficiently support massive stationary and/or mobile IoTs by reducing the amount of signaling overhead, the state of the IoTs kept in network, and simplifying the data plane when possible.

Abstract: Core network slices that belong to a given operator community are efficiently tracked at the network control/user plane functions level, with rich data analytics in real-time based on their geographic instantiations. In one aspect, an enhanced vendor agnostic orchestration mechanism is utilized to connect a unified management layer with an integrated slice-components data analytics engine (SDAE), a slice performance engine (SPE), and a network slice selection function (NSSF) in a closed-loop feedback system with the serving network functions of one or more core network slices. The tight-knit orchestration mechanism provides economies of scale to mobile carriers in optimal deployment and utilization of their critical core network resources while serving their customers with superior quality.

Abstract: Unlike smart devices, Internet of things (IoTs), such as meter readers, generate very low revenue per user. Traditional tunnel/bearer based connection-oriented architectures do not scale economically for billions of IoT devices due to the amount of signaling overhead associated with GTP tunnel setup/tear down and the states related to GTP tunnels maintained at various parts of the mobile network. However, the mobility network can efficiently support massive stationary and/or mobile IoTs by reducing the amount of signaling overhead, the state of the IoTs kept in network, and simplifying the data plane when possible.

Abstract: Core network slices that belong to a given operator community are efficiently tracked at the network control/user plane functions level, with rich data analytics in real-time based on their geographic instantiations. In one aspect, an enhanced vendor agnostic orchestration mechanism is utilized to connect a unified management layer with an integrated slice-components data analytics engine (SDAE), a slice performance engine (SPE), and a network slice selection function (NSSF) in a closed-loop feedback system with the serving network functions of one or more core network slices. The tight-knit orchestration mechanism provides economies of scale to mobile carriers in optimal deployment and utilization of their critical core network resources while serving their customers with superior quality.

Abstract: Core network slices that belong to a given operator community are efficiently tracked at the network control/user plane functions level, with rich data analytics in real-time based on their geographic instantiations. In one aspect, an enhanced vendor agnostic orchestration mechanism is utilized to connect a unified management layer with an integrated slice-components data analytics engine (SDAE), a slice performance engine (SPE), and a network slice selection function (NSSF) in a closed-loop feedback system with the serving network functions of one or more core network slices. The tight-knit orchestration mechanism provides economies of scale to mobile carriers in optimal deployment and utilization of their critical core network resources while serving their customers with superior quality.

Abstract: The described technology is generally directed towards a frequency-aware cellular communication network. A mobile device, or a radio access network (RAN) device at a base station in communication with the mobile device, can proactively notify a core network device regarding changes of a frequency band used for communications between the mobile device and the base station. The core network can use received notifications to adjust service provided to the mobile device.

Abstract: Core network slices that belong to a given operator community are efficiently tracked at the network control/user plane functions level, with rich data analytics in real-time based on their geographic instantiations. In one aspect, an enhanced vendor agnostic orchestration mechanism is utilized to connect a unified management layer with an integrated slice-components data analytics engine (SDAE), a slice performance engine (SPE), and a network slice selection function (NSSF) in a closed-loop feedback system with the serving network functions of one or more core network slices. The tight-knit orchestration mechanism provides economies of scale to mobile carriers in optimal deployment and utilization of their critical core network resources while serving their customers with superior quality.

Abstract: A cache server disposed in a motor vehicle receives and caches content from a content distribution network when a load of a cellular link to the content distribution network is low. The cache server determines that the motor vehicle is turned off, broadcasts a wireless signal as part of a wireless network when the motor vehicle is turned off, and provides a device access to the content cached in the cache server via the wireless network.

Abstract: Core network slices that belong to a given operator community are efficiently tracked at the network control/user plane functions level, with rich data analytics in real-time based on their geographic instantiations. In one aspect, an enhanced vendor agnostic orchestration mechanism is utilized to connect a unified management layer with an integrated slice-components data analytics engine (SDAE), a slice performance engine (SPE), and a network slice selection function (NSSF) in a closed-loop feedback system with the serving network functions of one or more core network slices. The tight-knit orchestration mechanism provides economies of scale to mobile carriers in optimal deployment and utilization of their critical core network resources while serving their customers with superior quality.

Abstract: A cache server disposed in a motor vehicle receives and caches content from a content distribution network when a load of a cellular link to the content distribution network is low. The cache server determines that the motor vehicle is turned off, broadcasts a wireless signal as part of a wireless network when the motor vehicle is turned off, and provides a device access to the content cached in the cache server via the wireless network.

Abstract: Dynamic network based slice selection for a user equipment (UE) or an application of the UE in advanced networks (e.g., 5G and beyond) is presented herein. A dynamic slice selection system can comprise a data collection component and an analytics component. The data collection component can determine a network slice that is being used by a wireless device and a service that is being provided, via the network slice, to the wireless device—the network slice being associated with a virtual network function. Further, an analytics component can obtain performance data corresponding to the service being provided, via the network slice, to the wireless device, and based on the performance data, determine whether the network slice satisfies a defined condition with respect to providing the service to the wireless device.

Abstract: Methods, systems, and products notify of health events. Personal health information is stored in memory of a mobile communications device. A peer device is discovered through a wireless personal data network. The peer device is queried for anonymous health information. The anonymous health information is aggregated with the personal health information to produce aggregated health information. The aggregated health information is stored in the memory of the mobile communications device.

Abstract: Unlike smart devices, Internet of things (IoTs), such as meter readers, generate very low revenue per user. Traditional tunnel/bearer based connection-oriented architectures do not scale economically for billions of IoT devices due to the amount of signaling overhead associated with GTP tunnel setup/tear down and the states related to GTP tunnels maintained at various parts of the mobile network. However, the mobility network can efficiently support massive stationary and/or mobile IoTs by reducing the amount of signaling overhead, the state of the IoTs kept in network, and simplifying the data plane when possible.

Abstract: Dynamic network based slice selection for a user equipment (UE) or an application of the UE in advanced networks (e.g., 5G and beyond) is presented herein. A dynamic slice selection system can comprise a data collection component and an analytics component. The data collection component can determine a network slice that is being used by a wireless device and a service that is being provided, via the network slice, to the wireless device—the network slice being associated with a virtual network function. Further, an analytics component can obtain performance data corresponding to the service being provided, via the network slice, to the wireless device, and based on the performance data, determine whether the network slice satisfies a defined condition with respect to providing the service to the wireless device.

Abstract: Core network slices that belong to a given operator community are efficiently tracked at the network control/user plane functions level, with rich data analytics in real-time based on their geographic instantiations. In one aspect, an enhanced vendor agnostic orchestration mechanism is utilized to connect a unified management layer with an integrated slice-components data analytics engine (SDAE), a slice performance engine (SPE), and a network slice selection function (NSSF) in a closed-loop feedback system with the serving network functions of one or more core network slices. The tight-knit orchestration mechanism provides economies of scale to mobile carriers in optimal deployment and utilization of their critical core network resources while serving their customers with superior quality.

Abstract: A network core with a software defined networking (“SDN”) controller is provided to control routing of traffic within the network and between the network and the traffic destination. The SDN controller is merged with existing 3rd Generation Partnership Project (“3GPP”) network architecture to enable service deliveries via open application programming interfaces (“APIs”) and move the network core towards an all internet protocol (“IP”), cloud based, and software driven telecom network. The SDN controller can work with, or take the place of policy and charging rules function (“PCRF”) network elements, so that policies such as quality of service and traffic management and routing can be synchronized and managed end to end.

Abstract: Master privacy policies for different users are stored to a cloud-based central server. When a user interacts with a third-party service (such as FACEBOOK® or AMAZON®), the third party service may require acceptance of privacy policies before services are rendered. Here the cloud-based central server may automatically configure a privacy policy of the third-party service to the user's master privacy policy. The cloud-based central server thus relives the user of managing many different privacy policies required by many different third party service providers.