Abstract: Aspects of the subject disclosure may include, for example: obtaining first network performance data characterizing a first wireless network that uses one technology, wherein the first wireless network provides one or more users of a plurality of users access to a collection of servers that enable services; obtaining first service performance data characterizing a first service of the services that are enabled by the collection of servers; obtaining first service requirements of the first service; obtaining second service performance data characterizing a second service of the services that are enabled by the collection of servers, wherein the second service is a different service than the first service; obtaining second service requirements of the second service; and responsive to a first user of the plurality of users indicating a preference to utilize the first wireless network, selecting one of the first service or the second service as a selected service for the first user, wherein the selecting of the s

Abstract: Aspects of the subject disclosure may include, for example, a non-transitory, machine-readable medium, including executable instructions that, when executed by a processing system including a processor, facilitate performance of operations of: receiving signals from a brain-computer interface to authenticate a user of the brain-computer interface through a user interface; responsive to successful authenticating the user, permitting the user to operate a target computer system by the brain-computer interface; and monitoring the user to ensure an integrity of the user. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, constructing a vehicle record for a driverless vehicle that indicates capabilities of the vehicle for responding in an emergency; receiving an alert regarding an incident; analyzing a database to identify available vehicles for responding to the incident; selecting a vehicle from the available vehicles in accordance with selection criteria including a current vehicle location and capabilities of the vehicle; directing the selected vehicle to the incident location; directing the selected vehicle to perform one or more actions to respond to the incident; receiving data from the selected vehicle regarding performance of the actions; analyzing the data to evaluate the performance; and generating a report of the incident including an indication of the performance. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example analyzing emergency communications that were transmitted from end user devices; determining that a group of the emergency communications that corresponds to a group of the end user devices is associated with an emergency event; extracting descriptions of the emergency event from the group of the emergency communications; retrieving mapping data of a location associated with the emergency event; and generating a graphical representation of the emergency event based on a machine learning model being applied to the mapping data and the descriptions, where the machine learning model is trained on historical emergency events. Other embodiments are disclosed.

Abstract: The concepts and technologies disclosed herein are directed to guidance rule-based compliance management. According to one aspect disclosed herein, an integrated technology catalog system (“system”) can provide an interface through which a technology catalog can be accessed to view a technology product and evaluate the technology product in a given context. The system can receive, via the interface, a request to evaluate the technology product in the given context. In response to the request, the system can identify whether at least one guidance rule is applicable to the technology product in the given context. In response to identifying that the at least one guidance rule is applicable to the technology product in the given context, the system can generate a report for the technology product. The report can include all applicable guidance rules for the technology product. The system can output the report.

Abstract: Aspects of the subject disclosure may include, for example, obtaining an image of a location that includes a wireless access point; analyzing the image to determine a potential signal interference from an object that has moved into a position with respect to the wireless access point; and generating routing instructions for wireless communications according to the potential signal interference. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device, comprising: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising: detecting that a 911 call had been made on a carrier network by the device, the device having associated therewith a telephone number; responsive to the detecting that the 911 call had been made, sending a token to the carrier network, the token causing the carrier network to disable call blocking to the telephone number. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first information indicative of one or more historical operating characteristics of a network; obtaining second information indicative of one or more current operating characteristics of the network; comparing, via a first computer-implemented process that requires no manual intervention, the first information to the second information to make a prediction of a potential future network event, resulting in a predicted future network event; classifying, via a second computer-implemented process that requires no manual intervention, the predicted future network event into one of a plurality of classes of network events; and responsive to the classifying, facilitating, via a third computer-implemented process that requires no manual intervention, an action to at least partially avoid an occurrence of the predicted future network event. Other embodiments are disclosed.

Abstract: Methods, systems, and products monitor a person's regimen for medicinal and dietary restrictions. When the person's regimen requires a liquid medication or supplement, an oral instrument is commanded to dispense a dosage of fluid. The oral instrument stores a reservoir of the fluid. If the oral instrument is a spoon, for example, the spoon may automatically dispense cough syrup or other medicine. A toothbrush, likewise, may automatically dispense mouthwash. A sensor may confirm presence of the oral instrument in the person's mouth, thus ensuring the dosage of fluid is ingested.

Abstract: Systems, computer-readable media, and methods are disclosed for parallel data processing for service function chains with network functions spanning multiple servers. An example system includes a first server hosting a first network function of a service function chain, a second server hosting a second network function of the service function chain, a mirror function deployed in a first switch to replicate a plurality of packets received by the system and to send respective copies of the plurality of packets to the first network function and to at least one of the second network function and a third network function of the service function chain, and a merge function deployed in a second switch to merge respective outputs of the first network function and the at least one of the second network function and the third network function.

Abstract: Aspects of the subject disclosure may include, for example, a method that includes obtaining, by a processing system, real-time information regarding a state of a communication network and capabilities of the communication network; selecting a routing for delivering a message to user equipment (UE) coupled to the network, in accordance with the real-time information; and configuring a messaging path according to the routing. The method further includes detecting whether the UE is in a non-active state and if so, providing a notification on a user plane data path of the communication network; the UE on returning to an active state thus is notified that the message is available via the user plane data path. If the UE on returning to the active state is unable to receive the message via the user plane data path, the message is then provided on a control plane signaling path. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining a coherence block for each user equipment (UE) of a plurality of UEs being served by the first cell, resulting in a plurality of coherence blocks, responsive to the determining, identifying a smallest coherence block from the plurality of coherence blocks, identifying a pilot sequence length based on the smallest coherence block, determining a plurality of orthogonal pilot sequences based on the identifying the pilot sequence length, designating, from the plurality of orthogonal pilot sequences, a first group of orthogonal pilot sequences for use in the first cell, and distributing, to each neighboring cell of a plurality of neighboring cells adjacent to the first cell, a respective group of orthogonal pilot sequences from a remainder of the plurality of orthogonal pilot sequences, to prevent pilot contamination between the first cell and the plurality of neighboring cells. Other embodiments are disclosed.

Abstract: A method includes defining a first specification for a first network slice, determining a first equilibrium value for a first time period for the first network slice offering, receiving a first bid price for the first network slice for the first time period from a first customer, comparing the first equilibrium value to the first bid price; and providing services using the network slice to the customer during the time period in accordance with the first specification and the bid price if the bid price meets or exceeds the equilibrium value.

Abstract: Systems and methods for managing network traffic receives, at a grade of service device, network traffic information for a plurality of network traffic channels from a network device separate from the grade of service device. The network traffic information is compared to a threshold to determine a behavior value for each network traffic channel. Each network traffic channel is mapped to a grade of service according to the behavior value.

Abstract: Aspects of the subject disclosure may include, for example, an aerial base station determining operating frequencies of terrestrial base stations, and taking one or more actions to reduce the potential for interference between the aerial base station and the terrestrial base stations. Actions taken by the aerial base station may include changing frequency, changing altitude, changing location, and changing transmit power. Other embodiments are disclosed.

Abstract: A content selection server including a processor configured to receive personal preference information from a plurality of personal media devices, select content based on the personal preference information, and provide playback of the content.

Abstract: Synchronized satellite communications can include receiving, at a computer having a processor, a data request that identifies a requesting device, data to be received by the requesting device, and a time at which the data is to be received by the requesting device. The processor can determine a geographic location of the requesting device and locations of a plurality of satellites; identify, based on the geographic location of the requesting device and the locations of the plurality of satellites, satellites that are to provide the data to the requesting device; generate instructions for loading network requirements to the satellites; and provide, to at least one of the satellites, the instructions. Additionally, embodiments of the concepts and technologies disclosed herein can be used to provide the same data and/or different data to multiple devices at the same time.

Abstract: The disclosed technology is directed towards locating and counting unused nodes, such as free Internet Protocol version 4 (IPv4) address blocks. A hierarchical structure of nodes is created from an origin block to a specified lower level, and the hierarchical structure is processed using mapping and eliminating to locate free nodes. A first node group comprises node(s) in use, a second node group identifies intermediate subnets between the first node of the first node group and the specified origin block, and a third node group identifies any subnets hierarchically below node(s) in use. Unused (free) node count information is obtained based on nodes below the origin block that are not in the first node group, the second node group, or the third node group.

Abstract: Aspects of the subject disclosure may include, for example, categorizing users of a cellular network according to a plurality of user categories, identifying, by a machine learning model, a service degradation in the cellular network, identifying at least one affected user, the at least one affected user being affected by the service degradation, identifying one or more affected user categories including the at least one affected user, identifying potentially affected users, the potentially affected users being categorized according to the one or more affected user categories, and taking action to isolate the potentially affected users from the service degradation. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, training a cell-level machine learning model to predict a likelihood of a cell site in a cellular network having service issues that impact customers of the cellular network, training a user equipment (UE) level machine learning model using output information from the cell-level machine learning model and historical information about UE-level performance metrics, receiving, from a customer associated with a UE device operating on the cellular network, information about a service degradation experienced by the customer on the UE device, providing the information about the service degradation to the UE-level machine learning model; and receiving, from the UE-level machine learning model, information identifying a source of the service degradation. Other embodiments are disclosed.