Abstract: A device may include a memory and a processor configured to obtain cell data representative of one or more attributes associated with a state of a cell of a mobile communication network, wherein radio resources of the cell are managed based on a radio resource management model, determine, for the radio resource management model, an update timescale based on the cell data, and communicate timescale information representative of the determined update timescale to the radio resource management model, wherein the timescale information is configured to cause the radio resource management model to update model parameters to manage the radio resources of the cell based on the determined update timescale.

Abstract: An apparatus and system to provide separate network slices for security events are described. A dedicated secure network slice is provided for PDP data from a UE. The network slice is used for detecting security issues and sending security-related information to clients. The communications in the dedicated network slice are associated with a special PDP context used by the UE to interface with the network slice. Once the UE has detected a security issue or has been notified of the security issue on the network or remote servers, the UE uses a special PDP service, and is able to stop uplink/downlink channels, close running applications and enter into a sate mode, cut off connections to the networks, and try to determine alternate available connectivity.

Abstract: System and techniques for semantic network data correction are described herein. Semantic data corresponding to a data stream may be received. Here, the semantic data is based on the data stream. The data stream, including packets, is received. At least one packet has an error due to transmission via a network link. This error introduces an ambiguity for content of the packet. The error is corrected using the semantic data. The semantic data providing a constraint on the ambiguity to eliminate possible corrections for the error.

Abstract: The present disclosure relates to techniques for determining optimal routing paths for computing devices in a network, including selecting an optimal gateway among a number of available gateways. The techniques include gathering data regarding characteristics of a network, including gateways and network access nodes (NANs) in at least one access network. The characteristics can include, e.g., supported frequency bands, communication protocols, signal-to-noise ratio, power, signal noise and quality, slicing information, and whether a network vender is a standalone network vendor or a non-standalone network vendor. In one aspect, the characteristics are obtained using the Mobile Broadband Interface Model (MBIM). The characteristics can be used by devices in determining routing paths based on requirements of individual flows and/or workflows of individual application instances.

Abstract: Disclosed herein are systems and methods for peer-assisted safety models for autonomous and assisted-driving vehicles. In an embodiment, a safety-model service receives a safety-model request for a safety model from a target vehicle. The safety-model service identifies, responsive to receiving the safety-model request, one or more source vehicles as safety-model input sources. The safety-model service receives safety-model data associated with the identified one or more source vehicles. The safety-model service generates, based on the safety-model request and the received safety-model data, a target-vehicle safety model for the target vehicle. The safety-model service transmits the target-vehicle safety model to the target vehicle for use by the target vehicle.

Abstract: Systems and techniques for cross-layer automated fault tracking and anomaly detection are described herein. Anomaly data may be obtained from a plurality of layers of a network. Elements of the anomaly data may be identified that correspond to a data flow of an application executing on the network. An artificial intelligence model may be trained using the elements of the anomaly data to generate an impact score for the application. The impact score may be generated for the application by evaluating current network metrics using the artificial intelligence model. An operational component of the network may be modified based on the impact score.

Abstract: An embodiment of the present invention is directed to dynamic caches that handle a large request load using limited resources. An embodiment of the present invention is directed to exploring forecasting request loads to provide an optimal cache based of historical data. For example, the prediction engine may first forecast the most likely requests for the next day. Then, the timing of those requests may be forecasted. Optimization may be performed on the forecasted request load to provide an appropriate cache based on user priority and/or content size of the payload.

Abstract: A method and system process multimedia content on a graphic cloud. The method includes determining a multimedia instance, determining a load balance associated with the multimedia instance, selecting a graphic card from a plurality of graphic cards for processing the multimedia instance, activating a plurality of ports associated with the graphic card for rendering the multimedia stream to a plurality of multimedia devices and transmitting the multimedia stream to the user. The system includes a multimedia device, a communication interface for establishing communication, a memory that stores instructions and a processor responsive to the instructions to determine a multimedia instance, determine a load balance, select a graphic card, activate a plurality of ports, and transmit the multimedia stream to the multimedia device.

Abstract: A method and system process multimedia content on a graphic cloud. The method includes determining a multimedia instance, determining a load balance associated with the multimedia instance, selecting a graphic card from a plurality of graphic cards for processing the multimedia instance, activating a plurality of ports associated with the graphic card for rendering the multimedia stream to a plurality of multimedia devices and transmitting the multimedia stream to the user. The system includes a multimedia device, a communication interface for establishing communication, a memory that stores instructions and a processor responsive to the instructions to determine a multimedia instance, determine a load balance, select a graphic card, activate a plurality of ports, and transmit the multimedia stream to the multimedia device.