Abstract: Techniques for Enhanced 911 (E911) location for dense cell network meshes are provided. A method can include obtaining, by a system comprising a processor via a communication network comprising first network cells listed in a neighboring cell list of a user equipment, coverage area information for the first network cells, wherein the coverage area information comprises respective reported positions of the first network cells and respective coverage radii of the first network cells; determining, by the system based on the coverage area information for the first network cells, a first area in which respective coverage areas of the first network cells overlap; and defining, by the system, an estimated position of the user equipment as a selected position within the first area.

Abstract: Aspects of the subject disclosure may include, for example, determining a requirement of a network-accessible service requested by a user, and determining a network policy according to the service. An infrastructure of a network domain is organized according to the requirement and the policy to provide the service. A distributed controller operating within the network domain configures time-insensitive and time sensitive network domain functions according to the network policy. The time-insensitive functions are obtained from the distributed controller and applied in a manner that selects an access domain type of a number of different types. The selection is made according to an application of the time-insensitive and time sensitive network domain functions. Network performance data is monitored, and the infrastructure is reconfigured responsive to the application the functions, to obtain a reconfigured network infrastructure based on the network performance data, to ensure compliance with the network policy.

Abstract: Techniques for Enhanced 911 (E911) location for dense cell network meshes are provided. A method can include obtaining, by a system comprising a processor via a communication network comprising first network cells listed in a neighboring cell list of a user equipment, coverage area information for the first network cells, wherein the coverage area information comprises respective reported positions of the first network cells and respective coverage radii of the first network cells; determining, by the system based on the coverage area information for the first network cells, a first area in which respective coverage areas of the first network cells overlap; and defining, by the system, an estimated position of the user equipment as a selected position within the first area.

Abstract: In one embodiment, a method includes receiving, by one or more interfaces, an optimization application, a request for an optimization, one or more policies required to implement the optimization, and data required to implement the optimization. The method also includes converting, by one or more processors and the optimization application, the one or more policies into optimization constraints and objective functions. The method further includes determining, by one or more processors and the optimization application, a solution to the optimization based on the optimization constraints, the objective functions, and the data.

Abstract: A service level-based integrity detection and self healing process can enable a better quality of service for an end user. For example, when an end user requests a service, a system can provide that service based upon a service level agreement and performance of the network. For example, a software defined network (SDN) component can provide intelligent functions and interfaces to create a service instance for the ordered the service. The SDN component can receive instructions from a detection and service healing component that generates instruction data to mitigate service outages based on historical data.

Abstract: Aspects of the subject disclosure may include, for example, a core network; an access network communicatively coupled with the core network, wherein the access network comprises a plurality of network resources; a network resource abstraction layer, wherein the network resource abstraction layer comprises descriptor objects that define a plurality of universal resource ports, and wherein each universal resource port of the plurality of universal resource ports corresponds to a respective network resource of the plurality of network resources; and a software-defined network configured to leverage the plurality of network resources, via the plurality of universal resource ports, to facilitate end-to-end service composition and delivery. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining information regarding a plurality of network resources available in an access network, wherein the plurality of network resources is abstracted as a plurality of universal resource ports, wherein the information identifies, for each network resource, a respective universal resource port, and wherein the information identifies capabilities of the plurality of network resources; receiving, from an external system, a request for a service to be provided for a UE; identifying a first set of universal resource ports based on the information and the request, wherein the first set of universal resource ports corresponds to a first set of network resources that have particular capabilities associated with the service; and causing a controller to define a route, that includes the first set of universal resource ports, to orchestrate provisioning and delivery of the service for the UE. Other embodiments are disclosed.

Abstract: Systems and methods provide capacity planning, management, and engineering automation in networks including virtualization.

Abstract: In one embodiment, a method includes receiving, by one or more interfaces, an optimization application, a request for an optimization, one or more policies required to implement the optimization, and data required to implement the optimization. The method also includes converting, by one or more processors and the optimization application, the one or more policies into optimization constraints and objective functions. The method further includes determining, by one or more processors and the optimization application, a solution to the optimization based on the optimization constraints, the objective functions, and the data.

Abstract: In one embodiment, a method includes receiving, by one or more interfaces, an optimization application, a request for an optimization, one or more policies required to implement the optimization, and data required to implement the optimization. The method also includes converting, by one or more processors and the optimization application, the one or more policies into optimization constraints and objective functions. The method further includes determining, by one or more processors and the optimization application, a solution to the optimization based on the optimization constraints, the objective functions, and the data.

Abstract: Adaptation of a network is disclosed. A proposed adaptation, determined by a sub-network component of the network based on an intended effect to the sub-network, can be received by a network-level arbitration component. The network-level arbitration component can determine if the proposed adaptation satisfies a rule based on predicted results on the network from implementing the proposed adaptation. Where the rule is satisfied the adaptation can be implemented. A result of the implementation can be compared to the predicted results to determine if the network should be reverted to a pre-implementation state. In an aspect, the network-level arbitration component can be a core-network component. In an embodiment, the network-level arbitration component can be a virtualized component on a network provider server, a cloud server, etc.

Abstract: In one embodiment, a method includes receiving, by one or more interfaces, an optimization application, a request for an optimization, one or more policies required to implement the optimization, and data required to implement the optimization. The method also includes converting, by one or more processors and the optimization application, the one or more policies into optimization constraints and objective functions. The method further includes determining, by one or more processors and the optimization application, a solution to the optimization based on the optimization constraints, the objective functions, and the data.

Abstract: Adaptation of a network is disclosed. A proposed adaptation, determined by a sub-network component of the network based on an intended effect to the sub-network, can be received by a network-level arbitration component. The network-level arbitration component can determine if the proposed adaptation satisfies a rule based on predicted results on the network from implementing the proposed adaptation. Where the rule is satisfied the adaptation can be implemented. A result of the implementation can be compared to the predicted results to determine if the network should be reverted to a pre-implementation state. In an aspect, the network-level arbitration component can be a core-network component. In an embodiment, the network-level arbitration component can be a virtualized component on a network provider server, a cloud server, etc.

Abstract: Adaptation of a network is disclosed. A proposed adaptation, determined by a sub-network component of the network based on an intended effect to the sub-network, can be received by a network-level arbitration component. The network-level arbitration component can determine if the proposed adaptation satisfies a rule based on predicted results on the network from implementing the proposed adaptation. Where the rule is satisfied the adaptation can be implemented. A result of the implementation can be compared to the predicted results to determine if the network should be reverted to a pre-implementation state. In an aspect, the network-level arbitration component can be a core-network component. In an embodiment, the network-level arbitration component can be a virtualized component on a network provider server, a cloud server, etc.

Abstract: Systems and methods provide capacity planning, management, and engineering automation in networks including virtualization.

Abstract: Adaptation of a network is disclosed. A proposed adaptation, determined by a sub-network component of the network based on an intended effect to the sub-network, can be received by a network-level arbitration component. The network-level arbitration component can determine if the proposed adaptation satisfies a rule based on predicted results on the network from implementing the proposed adaptation. Where the rule is satisfied the adaptation can be implemented. A result of the implementation can be compared to the predicted results to determine if the network should be reverted to a pre-implementation state. In an aspect, the network-level arbitration component can be a core-network component. In an embodiment, the network-level arbitration component can be a virtualized component on a network provider server, a cloud server, etc.

Abstract: An insulated electric cord (10) for suspending an electrical device (100) from a support (104) is disclosed. The insulated electric cord comprises an elongate outer covering arrangement (12) and first and second elongate electrical conductors (14, 16) for electrically connecting the electrical device to wiring of a mains supply of electricity at the support. The first and second elongate electrical conductors are held within the outer covering arrangement and extend longitudinally therethrough, insulated electric cord further includes an elongate load bearing member (20) for connection at a first end portion (12A) thereof to a first non-electrical load bearing connector (106) in the device and for connection at a second opposite end portion (12B) to a second non-electrical load bearing connector (114) at the support. The load bearing member is held within the outer covering arrangement and extends longitudinally therethrough.

Abstract: An EEPROM memory cell comprising a transistor on a first conductivity type semiconductor substrate and a capacitor formed on a second conductivity type semiconductor substrate. The capacitor comprises first and second injector regions of third conductivity type, a channel region of second conductivity type separating the first and second injector regions and a first electrically floating structure disposed above the channel region, wherein a first edge portion of the floating structure overlaps a portion of the first injector region and a second edge portion of the first floating structure overlaps a portion of the second injector region, and a control gate region of fourth conductivity type located within the second conductivity type semiconductor substrate region. The gate structure and first floating structure are electrically connected together. In different aspects of the present invention, the EEPROM memory cell may also include a second capacitor.

Abstract: An EEPROM memory cell comprising a transistor on a first conductivity type semiconductor substrate and a capacitor formed on a second conductivity type semiconductor substrate. The capacitor comprises first and second injector regions of third conductivity type, a channel region of second conductivity type separating the first and second injector regions and a first electrically floating structure disposed above the channel region, wherein a first edge portion of the floating structure overlaps a portion of the first injector region and a second edge portion of the first floating structure overlaps a portion of the second injector region, and a control gate region of fourth conductivity type located within the second conductivity type semiconductor substrate region. The gate structure and first floating structure are electrically connected together. In different aspects of the present invention, the EEPROM memory cell may also include a second capacitor.

Abstract: An EEPROM memory cell comprising a transistor on a first conductivity type semiconductor substrate and a capacitor formed on a second conductivity type semiconductor substrate. The capacitor comprises first and second injector regions of third conductivity type, a channel region of second conductivity type separating the first and second injector regions and a first electrically floating structure disposed above the channel region, wherein a first edge portion of the floating structure overlaps a portion of the first injector region and a second edge portion of the first floating structure overlaps a portion of the second injector region, and a control gate region of fourth conductivity type located within the second conductivity type semiconductor substrate region. The gate structure and first floating structure are electrically connected together. In different aspects of the present invention, the EEPROM memory cell may also include a second capacitor.