Abstract: This application discloses methods for creating self-organizing networks implemented on heterogeneous mesh networks. The self-organizing networks can include a computing cloud component coupled to the heterogeneous mesh network. In the methods and computer-readable mediums disclosed herein, a processor determines if a user equipment (UE) should hand over its service from a base station to a multi-radio access technology (RAT) node, based on heuristics including one or more of: a distance traveled over a time T1, an average speed over a time T2, a destination stored in internal memory within the UE, a speed limit measurement for a nearby road, a possible direction in which the UE could travel, a signal strength measurement for a servicing base station, and a signal strength measurement for the multi-RAT node. A position profile may be used to predict a future location of the UE.

Abstract: This application discloses methods for creating self-organizing networks implemented on heterogeneous mesh networks. The self-organizing networks can include a computing cloud component coupled to the heterogeneous mesh network. In the methods and computer-readable mediums disclosed herein, a processor determines if a user equipment (UE) should hand over its service from a base station to a multi-radio access technology (RAT) node, based on heuristics including one or more of: a distance traveled over a time T1, an average speed over a time T2, a destination stored in internal memory within the UE, a speed limit measurement for a nearby road, a possible direction in which the UE could travel, a signal strength measurement for a servicing base station, and a signal strength measurement for the multi-RAT node. A position profile may be used to predict a future location of the UE.

Abstract: This application discloses methods for creating self-organizing networks implemented on heterogeneous mesh networks. The self-organizing networks can include a computing cloud component coupled to the heterogeneous mesh network. In the methods and computer-readable mediums disclosed herein, a processor determines if a user equipment (UE) should hand over its service from a base station to a multi-radio access technology (RAT) node, based on heuristics including one or more of: a distance traveled over a time T1, an average speed over a time T2, a destination stored in internal memory within the UE, a speed limit measurement for a nearby road, a possible direction in which the UE could travel, a signal strength measurement for a servicing base station, and a signal strength measurement for the multi-RAT node. A position profile may be used to predict a future location of the UE.

Abstract: This application discloses methods for creating self-organizing networks implemented on heterogeneous mesh networks. The self-organizing networks can include a computing cloud component coupled to the heterogeneous mesh network. In the methods and computer-readable mediums disclosed herein, a processor determines if a user equipment (UE) should hand over its service from a base station to a multi-radio access technology (RAT) node, based on heuristics including one or more of: a distance traveled over a time T1, an average speed over a time T2, a destination stored in internal memory within the UE, a speed limit measurement for a nearby road, a possible direction in which the UE could travel, a signal strength measurement for a servicing base station, and a signal strength measurement for the multi-RAT node. A position profile may be used to predict a future location of the UE.

Abstract: This application discloses methods for creating self-organizing networks implemented on heterogeneous mesh networks. The self-organizing networks can include a computing cloud component coupled to the heterogeneous mesh network. In the methods and computer-readable mediums disclosed herein, a processor receives an environmental condition for a mesh network. The processor may have measured the environmental condition, or it could have received it from elsewhere, e.g., internally stored information, a neighboring node, a server located in a computing cloud, a network element, user equipment (“UE”), and the like. After receiving the environmental condition, the processor evaluates it and determines whether an operational parameter within the mesh network should change to better optimize network performance.

Abstract: This application discloses methods for creating self-organizing networks implemented on heterogeneous mesh networks. The self-organizing networks can include a computing cloud component coupled to the heterogeneous mesh network. In the methods and computer-readable mediums disclosed herein, a processor receives an environmental condition for a mesh network. The processor may have measured the environmental condition, or it could have received it from elsewhere, e.g., internally stored information, a neighboring node, a server located in a computing cloud, a network element, user equipment (“UE”), and the like. After receiving the environmental condition, the processor evaluates it and determines whether an operational parameter within the mesh network should change to better optimize network performance.

Abstract: This application discloses methods for creating self-organizing networks implemented on heterogeneous mesh networks. The self-organizing networks can include a computing cloud component coupled to the heterogeneous mesh network. In the methods and computer-readable mediums disclosed herein, a processor receives an environmental condition for a mesh network. The processor may have measured the environmental condition, or it could have received it from elsewhere, e.g., internally stored information, a neighboring node, a server located in a computing cloud, a network element, user equipment (“UE”), and the like. After receiving the environmental condition, the processor evaluates it and determines whether an operational parameter within the mesh network should change to better optimize network performance.

Abstract: This application discloses methods for creating self-organizing networks implemented on heterogeneous mesh networks. The self-organizing networks can include a computing cloud component coupled to the heterogeneous mesh network. In the methods and computer-readable mediums disclosed herein, a processor receives an environmental condition for a mesh network. The processor may have measured the environmental condition, or it could have received it from elsewhere, e.g., internally stored information, a neighboring node, a server located in a computing cloud, a network element, user equipment (“UE”), and the like. After receiving the environmental condition, the processor evaluates it and determines whether an operational parameter within the mesh network should change to better optimize network performance.