A method of wireless communication, by a user equipment (UE), includes setting up a secondary cell group (SCG) with a second radio access technology (RAT) that differs from a first RAT associated with a master cell group (MCG). The method also includes communicating wirelessly via the secondary cell group and the master cell group. The method further includes predicting a radio link failure (RLF) for the secondary cell group based on multiple inputs to a machine learning model. The method still further includes routing data transmission from the secondary cell group to the master cell group, after predicting the SCG RLF.

A method of wireless communication, by a user equipment (UE), includes setting up a secondary cell group (SCG) with a second radio access technology (RAT) that differs from a first RAT associated with a master cell group (MCG). The method also includes communicating wirelessly via the secondary cell group and the master cell group. The method further includes predicting a radio link failure (RLF) for the secondary cell group based on multiple inputs to a machine learning model. The method still further includes routing data transmission from the secondary cell group to the master cell group, after predicting the SCG RLF.

In one embodiment, a method comprises receiving, by a network device within a tree-based topology rooted by a root network device, a request message from a child network device for generating an optimized tree-based topology for a future use by the child network device at a future time instance; the network device executing an objective function for generating the optimized tree-based topology for the future use by the child network device; and the network device providing network communications, for the child network device, at the future time instance using the optimized tree-based topology.

The disclosure provides a networked computing system, comprising at least one network communication interface connected to at least one network, the at least one network communication interface being configured to receive data from and to send data to the at least one network, a control component, wherein the control component is adapted to configure routes, wherein the control component is configured to provide current input parameters on the routes, and wherein an application component is configured to output predicted configuration parameters for future route configurations based on predictions, based on the predicted configuration parameters output by the application component.

A maritime network provides network coverage for nautical or aerospace vehicles traveling over the sea. Generating the network configuration for the maritime network includes receiving client information for client devices in range of a given node of the maritime network for a period of time that the client devices are traveling asea, as well as location information for the period of time from a plurality of nodes in the network including the given node. Based on the client information and the location information, a network configuration is determined to include a plurality of links to be formed for routing paths through the maritime network. The routing paths are configured to transmit data related to the client devices, and the plurality of links includes a link between the given node and another node in the network that is within a maximum distance from the given node.

An apparatus, method and computer program product for: receiving information relating to data consumption characteristics of at least one user device, predicting, based on the received information, at least one data consumption area at a first point in time, determining one or more data transmission modes based on the received information and the predicted at least one data consumption area and instructing at least one communication network element to provide data transmission at the first point in time according to the determined data transmission mode.

An apparatus, method and computer program product for: receiving information relating to data consumption characteristics of at least one user device, predicting, based on the received information, at least one data consumption area at a first point in time, determining one or more data transmission modes based on the received information and the predicted at least one data consumption area and instructing at least one communication network element to provide data transmission at the first point in time according to the determined data transmission mode.

Described herein are techniques for implementing intelligent network slicing. Such techniques may include receiving data usage information associated with at least one user and generating, using the data usage information, a predicted usage model for the at least one user. Upon identifying an upcoming predicted usage event from the predicted usage model, the techniques may further include determining a current status of a core network and upon determining, based on the current status of the core network, that the core network is inadequate to handle the upcoming predicted usage event, instantiating a new network slice within the core network configured to handle the upcoming predicted usage event. Upon identifying network traffic associated with the upcoming predicted usage event, the techniques comprise routing that network traffic through the new network slice.

Described herein are techniques for implementing intelligent network slicing. Such techniques may include receiving data usage information associated with at least one user and generating, using the data usage information, a predicted usage model for the at least one user. Upon identifying an upcoming predicted usage event from the predicted usage model, the techniques may further include determining a current status of a core network and upon determining, based on the current status of the core network, that the core network is inadequate to handle the upcoming predicted usage event, instantiating a new network slice within the core network configured to handle the upcoming predicted usage event. Upon identifying network traffic associated with the upcoming predicted usage event, the techniques comprise routing that network traffic through the new network slice.

Aspects of the subject disclosure may include, for example, predicting opportunities for a mobile communication device to access a network via available pathways during a first time period according to a history of network connectivity of the mobile communication device, selecting a first pathway of the available pathways according to the opportunities that are predicted for the mobile communication device to access the network via the available pathways during the first time period, and directing transmission of first data to the mobile communication device via the first pathway during the first time period, wherein a presence of a second data at the mobile communication device enables an application to access the first data at the mobile communication device. Other embodiments are disclosed.