Abstract: Aspects of the subject disclosure may include, for example, a drone service retrieving network state information describing a network state of at least a portion of a communication network, determining an impact of the network state on operation of an unmanned aerial vehicle (UAV), determining operational information for the UAV, and providing the operational information to the UAV. Other embodiments are disclosed.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a first performance characteristic of first base station equipment, wherein the first base station equipment is actively communicating with a user equipment via a first network connection. The method can further include, based on the first performance characteristic being in a condition in relation to a first threshold, determining, by the system, to execute a handover of the user equipment to a second network connection with second base station equipment, resulting in a handover determination. Further, the method can include, based on the handover determination, facilitating, by the system, executing the handover of the user equipment to the second network connection.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a first performance characteristic of first base station equipment, wherein the first base station equipment is actively communicating with a user equipment via a first network connection. The method can further include, based on the first performance characteristic being in a condition in relation to a first threshold, determining, by the system, to execute a handover of the user equipment to a second network connection with second base station equipment, resulting in a handover determination. Further, the method can include, based on the handover determination, facilitating, by the system, executing the handover of the user equipment to the second network connection.

Abstract: Methods, apparatus, systems, and articles of manufacture to detect defects during semiconductor chip fabrication and/or to debug semiconductor chips after fabrication are disclosed. An example apparatus includes a substrate, integrated circuitry on a first side of the substrate, and an array of pins extending through the substrate. The pins include first ends on the first side of the substrate and second ends protruding beyond a second side of the substrate opposite the first side.

Abstract: Embodiments described herein may be related to apparatuses, processes, systems, and/or techniques for analyzing a wafer for defects using cross-section analysis by applying a sacrificial layer on a surface of the wafer prior to forming a cavity into the wafer for analysis. In embodiments, an epoxy material may be placed into the cavity after analysis, and a capping layer placed on top of the epoxy material. The sacrificial layer, which may contain dislodged particles or debris from the formation of the cavity on its surface, is then removed, providing a clean surface on the wafer. The wafer may then be reintroduced into the manufacturing line for further processing. Other embodiments may be described and/or claimed.

Abstract: Aspects of the subject disclosure may include, for example, a drone service retrieving network state information describing a network state of at least a portion of a communication network, determining an impact of the network state on operation of an unmanned aerial vehicle (UAV), selecting a carrier frequency to be used for communication by the UAV, and providing the data describing the carrier frequency to the UAV and/or to communication network nodes. Other embodiments are disclosed.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a first performance characteristic of first base station equipment, wherein the first base station equipment is actively communicating with a user equipment via a first network connection. The method can further include, based on the first performance characteristic being in a condition in relation to a first threshold, determining, by the system, to execute a handover of the user equipment to a second network connection with second base station equipment, resulting in a handover determination. Further, the method can include, based on the handover determination, facilitating, by the system, executing the handover of the user equipment to the second network connection.

Abstract: The described technology is generally directed towards intelligent dual-connectivity for non-standalone network nodes. Network nodes can report state information to a central controller, such as a radio access network intelligent controller. The controller can determine, based on the state information reported by multiple network nodes, network nodes to cooperate in non-standalone mode. The controller can provide the network nodes with instructions to implement the controller's non-standalone relationship determinations.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a user equipment communicatively coupled to base station equipment via a first network connection implementing a first radio access technology and a second network connection implementing a second radio access technology. The method can further include identifying, by the system, performance characteristics of the first network connection and the second network connection. Further, the method can include, based on the first performance characteristic and the second performance characteristic, facilitating, by the system, allocating, to the user equipment, power for uplink transmission by the first network connection and the second network connection, resulting in an uplink power allocation.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a first performance characteristic of first base station equipment, wherein the first base station equipment is actively communicating with a user equipment via a first network connection. The method can further include, based on the first performance characteristic being in a condition in relation to a first threshold, determining, by the system, to execute a handover of the user equipment to a second network connection with second base station equipment, resulting in a handover determination. Further, the method can include, based on the handover determination, facilitating, by the system, executing the handover of the user equipment to the second network connection.

Abstract: Aspects of the subject disclosure may include, for example, a drone service retrieving network state information describing a network state of at least a portion of a communication network, determining an impact of the network state on operation of an unmanned aerial vehicle (UAV), determining operational information for the UAV, and providing the operational information to the UAV. Other embodiments are disclosed.

Abstract: The described technology is generally directed towards intelligent dual-connectivity for non-standalone network nodes. Network nodes can report state information to a central controller, such as a radio access network intelligent controller. The controller can determine, based on the state information reported by multiple network nodes, network nodes to cooperate in non-standalone mode. The controller can provide the network nodes with instructions to implement the controller's non-standalone relationship determinations.

Abstract: The disclosed technology is directed towards associating a distributed unit (a baseband function) with a radio unit, corresponding to a service area, when the radio unit transitions from an idle state to an active state with respect to serving user equipment. When an idle radio unit receives a message requesting connection from a formerly idle user equipment, or user equipment to be served due to a handover, the message triggers assignment of a distributed unit to the radio unit, whereby the radio unit becomes active to serve the user equipment. If insufficient distributed unit capacity exists, a new distributed unit is dynamically instantiated and assigned to the radio unit. When a radio unit transitions from active to idle, the radio unit is disassociated from the distributed unit. If a distributed unit is not associated with any radio unit, the distributed unit is deactivated to reduce resource consumption.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a user equipment communicatively coupled to base station equipment via a first network connection implementing a first radio access technology and a second network connection implementing a second radio access technology. The method can further include identifying, by the system, performance characteristics of the first network connection and the second network connection. Further, the method can include, based on the first performance characteristic and the second performance characteristic, facilitating, by the system, allocating, to the user equipment, power for uplink transmission by the first network connection and the second network connection, resulting in an uplink power allocation.

Abstract: The disclosed technology is directed towards associating a distributed unit (a baseband function) with a radio unit, corresponding to a service area, when the radio unit transitions from an idle state to an active state with respect to serving user equipment. When an idle radio unit receives a message requesting connection from a formerly idle user equipment, or user equipment to be served due to a handover, the message triggers assignment of a distributed unit to the radio unit, whereby the radio unit becomes active to serve the user equipment. If insufficient distributed unit capacity exists, a new distributed unit is dynamically instantiated and assigned to the radio unit. When a radio unit transitions from active to idle, the radio unit is disassociated from the distributed unit. If a distributed unit is not associated with any radio unit, the distributed unit is deactivated to reduce resource consumption.

Abstract: The disclosed technology is directed towards associating a distributed unit (a baseband function) with a radio unit, corresponding to a service area, when the radio unit transitions from an idle state to an active state with respect to serving user equipment. When an idle radio unit receives a message requesting connection from a formerly idle user equipment, or user equipment to be served due to a handover, the message triggers assignment of a distributed unit to the radio unit, whereby the radio unit becomes active to serve the user equipment. If insufficient distributed unit capacity exists, a new distributed unit is dynamically instantiated and assigned to the radio unit. When a radio unit transitions from active to idle, the radio unit is disassociated from the distributed unit. If a distributed unit is not associated with any radio unit, the distributed unit is deactivated to reduce resource consumption.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a first performance characteristic of first base station equipment, wherein the first base station equipment is actively communicating with a user equipment via a first network connection. The method can further include, based on the first performance characteristic being in a condition in relation to a first threshold, determining, by the system, to execute a handover of the user equipment to a second network connection with second base station equipment, resulting in a handover determination. Further, the method can include, based on the handover determination, facilitating, by the system, executing the handover of the user equipment to the second network connection.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a user equipment communicatively coupled to base station equipment via a first network connection implementing a first radio access technology and a second network connection implementing a second radio access technology. The method can further include identifying, by the system, performance characteristics of the first network connection and the second network connection. Further, the method can include, based on the first performance characteristic and the second performance characteristic, facilitating, by the system, allocating, to the user equipment, power for uplink transmission by the first network connection and the second network connection, resulting in an uplink power allocation.

Abstract: The described technology is generally directed towards intelligent dual-connectivity for non-standalone network nodes. Network nodes can report state information to a central controller, such as a radio access network intelligent controller. The controller can determine, based on the state information reported by multiple network nodes, network nodes to cooperate in non-standalone mode. The controller can provide the network nodes with instructions to implement the controller's non-standalone relationship determinations.

Abstract: A computer-implemented system for searching includes a data store accessible via a network for storing a data set; an indexing system coupled to the network and indexing the data set, the indexing system configured to generate content vectors for terms in the data set; generate index vectors for terms in the data set; and generate a bitset signature from the index vector. The system further includes a search module coupled to the network and configured to receive a search query and perform a search on one or more terms in the search query by accessing a bitset signature and content vector corresponding to the term; retrieving bitset signatures that are within a predetermined closeness to the bitset signature; selecting content vectors corresponding to retrieved bitset signatures; and selecting content vectors that are within a predetermined similarity to the term content vector; and return the terms corresponding to the content vectors.