Abstract: Aspects of the subject disclosure may include, for example, receiving network requirements for a new telecommunications network to be developed by a network operator, developing a workflow for design and development of the new telecommunications network based on stored knowledge base data about past telecommunications network projects of the network operator, the stored knowledge base data including information about prior milestone processes of the past telecommunications network projects of the network operator, modifying the information about prior milestone processes based on the network requirements for the new telecommunications network, forming a plurality of milestone processes for the new telecommunications network, and performing respective milestone processes of the plurality of milestone processes to design, develop and test the new telecommunications network, including performing a network ready milestone process of final testing of network functions and a certification that the new telecommunica

Abstract: Aspects of the subject disclosure may include, for example, receiving network performance metrics for a plurality of paths through a network, each path extending from a customer equipment to an application server for data communication by the customer equipment with an application running on the application server, selecting a selected path among the plurality of paths, wherein the selecting is based on the network performance metrics, and communicating between the customer equipment and the application server according to the selected path. Border gateway protocol (BGP) community values (BGP CV) add BGP performance metrics community values (BPM CV) to convey network performance metrics to provider edge routers and customer premises equipment for network selection. Other embodiments are disclosed.

Abstract: Improving configuration of routing areas within an area of interest can include obtaining input data including a list of common language location identifiers within a defined area of interest and identification of a number of routing areas to be created within the area of interest; creating a bounding rectangle around the area of interest represented by the list of common language location identifiers; generating, within the bounding rectangle, a uniformly distributed sequence point; determining, from within the list of common language location identifiers, if the uniformly distributed sequence point is located in a particular common language location identifier of the list of common language location identifiers; if so, adding, to a list of kernel common language location identifiers the uniformly distributed sequence point; and if not, discarding the uniformly distributed sequence point.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first data, determining, based on the obtaining, a likelihood that the first data will be selected for use, and storing, based on the determining indicating that the likelihood is less than a first threshold, the first data in a storage device, wherein the storage device stores a plurality of data, and wherein the plurality of data is accessed from the storage device in an amount that is less than a second threshold, the second threshold being less than 5%. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving network performance metrics for a plurality of paths through a network, each path extending from a customer equipment to an application server for data communication by the customer equipment with an application running on the application server, selecting a selected path among the plurality of paths, wherein the selecting is based on the network performance metrics, and communicating between the customer equipment and the application server according to the selected path. Border gateway protocol (BGP) community values (BGP CV) add BGP performance metrics community values (BPM CV) to convey network performance metrics to provider edge routers and customer premises equipment for network selection. Other embodiments are disclosed.

Abstract: A method includes creating one or more first policy shims to be applied to a ML/AI module, applying the one or more first policy shims to an input or an output of the ML/AI module and executing the ML/AI module on a data set in response to the applying step. The one or more first policy shims includes an input policy shim and an output policy shim and the applying step includes applying the input policy shim to the data set prior to the executing step and applying the output policy shim to an output of the executing step.

Abstract: Aspects of the subject disclosure may include, for example, a system comprising a distributed unit (DU) configured to generate sounding reference signal (SRS)-based beams, and a remote unit (RU) communicatively coupled with the DU over a fronthaul, wherein the RU is configured to generate demodulation reference signal (DMRS)-based beams and perform digital beamforming for an uplink using the DMRS-based beams in combination with the SRS-based beams. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, network device(s) capable of on-demand virtual routing and forwarding (VRF) table creation. A network device may receive a request from a customer device requesting on-demand VRF creation, and may instantiate and provision a VRF in response. The request made by the customer device may be made by announcing an attribute in a border gateway protocol (BGP) message. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining compressed sounding reference signal (SRS) information associated with a user end device from a distributed unit device. The distributed unit device compresses SRS information utilizing a first compression algorithm resulting in the compressed SRS information. Further embodiments include decompressing the compressed SRS information utilizing a first decompression algorithm resulting in the SRS information and determining SRS channel estimation based on the SRS information. Additional embodiments include determining a group of beamforming weights based on the SRS channel estimation, and adjusting an antenna array according to the group of beamforming weights. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including: receiving sounding reference signal (SRS) data for an uplink transmission of a user equipment (UE) from a remote unit (RU); generating SRS-based beam weights; transmitting the SRS-based beam weights to the RU; instructing the RU to generate DMRS-based beam weights and send demodulation reference signal (DMRS) channel estimates from subsequent uplink transmissions of the UE; and receiving the DMRS channel estimates from the RU. Other embodiments are disclosed.

Abstract: The concepts and technologies disclosed herein are directed to quantum key distribution (“QKD”) networking as a service. According to one aspect disclosed herein, a microservices controller can establish a plurality of quantum connections with a plurality of virtual quantum connection managers (“vQCMs”) deployed in association with a set of quantum user nodes (“QUNs”) in a QKD network. The microservices controller can receive a request to initialize the QKD network. The microservices controller can coordinate with the plurality of vQCMs to handle initialization of the QKD network. The microservices controller can receive a QKD service request from a QKD network operator. The microservices controller can invoke a plurality of microservices to handle the QKD service request.

Abstract: Aspects of the subject disclosure may include, for example, a non-transitory machine-readable medium comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising: receiving by a selected one of a plurality of containers incoming traffic from a legacy application, the legacy application having been associated with a migrated application prior to the migrated application having been installed on a Software as a Service (SaaS) cloud infrastructure, the incoming traffic comprising a first instruction to perform a first legacy operation; mapping the first legacy operation of the legacy application to a replacement instruction for the migrated application by receiving data from the selected container and assigning the replacement instruction to replace the first instruction; and communicating with the migrated application on the SaaS cloud infrastructure, the communicating comprising sending to the migrated appli

Abstract: Aspects of detecting and mitigating denial of service (“DoS”) attacks over home gateway network address translation (“NAT”) are disclosed herein. According to one aspect disclosed herein, a home gateway system can detect that a NAT table is overpopulated. In response to detecting that the NAT table is overpopulated, the home gateway system can determine a mitigation action to be performed. The home gateway system can then perform the mitigation action in an attempt to mitigate an effect of the NAT table overpopulation.

Abstract: Aspects of the subject disclosure may include, for example, detecting a scenario that warrants a pooling of first resources associated with a first network operator with second resources associated with at least a second network operator that is different from the first network operator, based on the detecting, obtaining first data indicating an availability of a first portion of the first resources and second data indicating an availability of a first portion of the second resources, processing at least the first data and the second data to generate a plan for facilitating a communication service involving the first portion of the first resources and the first portion of the second resources, and facilitating the communication service based on the plan. Other embodiments are disclosed.

Abstract: A processing system including at least one processor may collect, via at least one camera of at least one autonomous aerial vehicle, viewing information for a plurality of positions for each of a plurality of viewing locations within an event venue. The processing system may next present a viewing location selection interface to a user, where the viewing location selection interface provides a simulated view with respect to at least one of the plurality of positions for at least one of the plurality of viewing locations, and where the simulated view is based upon the viewing information that is obtained. The processing system may then obtain a selection from the user of a viewing location of the plurality of viewing locations for an event at the event venue.

Abstract: Aspects of the subject disclosure may include, for example, obtaining image information via a communication network from equipment of a video producer; analyzing the image information to identify video content segments, to detect one or more objects, and/or to determine a tonality of at least one of the video content segments; obtaining preferences regarding editing the video content segments; editing the video content segments in accordance with the preferences using an algorithm executing on a processing system; generating an edited video based on the editing; providing the edited video to equipment of audience members, generating success metrics for the edited video; and modifying the algorithm in accordance with the success metrics. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a machine-readable medium with executable instructions that facilitate performance of operations by a processor including receiving a registration for a trajectory of a satellite; estimating a zone of occupancy at a future time for the satellite; determining an interference of the satellite from the zone of occupancy at the future time; determining a deconfliction for minimizing or eliminating the interference; and sending the deconfliction to a controller of the satellite. Other embodiments are disclosed.

Abstract: In one example, a method performed by a processing system including at least one processor includes identifying an environment surrounding a user of an augmented reality display, identifying a relative location of the user within the environment, determining a field of view of the augmented reality display, identifying an individual within the field of view, querying a data source for information related to the individual, and modifying the augmented reality display to present the information related to the individual.

Abstract: Aspects of the subject disclosure may include, for example, a user input module to receive collected user inputs during game play by a user at user equipment, in an interactive game with a remote user provided by a gaming application, the user equipment in data communication over a network with remote user equipment of the remote user. Aspects of the subject disclosure may further include a network monitor module to monitor a network connection over the network with the remote user equipment and to identify a network game play interruption during the game play, and a game application programming interface (API) to automatically control game play during the network game play interruption to simulate game inputs of the user based on the collected user inputs so the remote user is unaware of the network game play interruption, wherein the game API is responsive to identification of the network game play interruption for automatically controlling the game play. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method including facilitating communications between a wide area network (WAN) and a local area network (LAN), executing an application mirror, associated with a media server coupled to the WAN, via an operating system at the residential gateway device, prefetching, via the application mirror, a plurality of prefetched media content from the media server according to a client application associated with the media server and operating at user device coupled to the LAN, storing, via the application mirror, the plurality of prefetched media content, determining, via the application mirror, that the plurality of prefetched media content includes a first media content, and responsive to the determining the plurality of prefetched media content includes the first media content, transmitting, via the application mirror, the first media content to the client application at the user device. Other embodiments are disclosed.

Abstract: Packet-based network delivery control can include receiving, at a router of a network route, data packets associated with traffic generated by an application server, the traffic being sent by an application server to a destination device via the network route, determining, at the router, if executable code is to be generated for the data packets, in response to a determination that the executable code is to be generated for the data packets, determining handling instructions for the data packets, generating the executable code, the executable code, when executed by the router, causing the router to transmit the data packets across the network route in accordance with the handling instructions, and implementing the handling instructions at the router to transmit the data packets across the network route in accordance with the handling instructions.

Abstract: Aspects of the subject disclosure may include, for example, a method that includes receiving, by a processing system, a query from a server regarding a frequency range for use in a communication by user equipment (UE); responding to the query by providing information to the server regarding whether use of the frequency range is authorized; receiving an updated report from the UE, based on the information, regarding capability of the UE to communicate using the frequency range; directing the UE to initiate the communication using a selected frequency range; and dynamically adjusting the selected frequency range. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of receiving a plurality of data packets captured from a network, wherein the data packets are associated with streaming video content across the network, and wherein the video content is encrypted; processing the plurality of data packets to extract features from each of the data packets in the plurality of data packets; providing the features to a trained machine learning (ML) model comprising a plurality of layers; and outputting an identification of the video content determined by the ML model. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining, over a communication network, flow records from each of a group of smart residential gateways (SRGs) resulting in a group of flow records. Each of the group of SRGs is associated with one or more communication devices resulting in a group of communication devices. Further embodiments include determining a first Quality of Experience (QoE) metric for a first portion of the group of communication devices based on the group of flow records, and determining that the first QoE metric is below a first QoE metric threshold. Additional embodiments include identifying a first portion of the group of SRGs associated with the portion of the group of communication devices, and allocating a first group of network resources to a first portion of the communication network associated with the first portion of the group of SRGs. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data pertaining to a communication service facilitated at least in part by a first gateway located in a building, the communication service involving at least a first user equipment, analyzing the data to determine that a processing load supported by the first gateway exceeds a first threshold, wherein the first threshold is expressed as a function of a capacity of the first gateway, resulting in a determination, and based on the determination, performing an action that causes the processing load supported by the first gateway to be reduced to a level that is less than the first threshold. Other embodiments are disclosed.

Abstract: A distributed denial of service (“DDoS”) attack profiler can determine a plurality of DDoS attack properties associated with a DDoS attack that utilizes an Internet of Things (“IoT”) device operating in communication with a home gateway. The DDoS attack profiler can create a DDoS attack profile and can provide a DDoS attack report based upon the DDoS attack profile to a correlator. An IoT device profiler can determine a plurality of IoT device properties and can create, based upon the plurality of IoT device properties, an IoT device profile. The IoT device profiler can create an anomaly report that identifies an anomaly associated with the IoT device. The correlator can correlate the DDoS attack report with the anomaly report to determine if a match exists. In response to determining that the match exists, the home gateway system can store the bot match record in a bot match repository.

Abstract: Aspects of the subject disclosure may include, for example, identifying a flow of data packets between first and second network addresses of a network, with each packet including respective header and payload portions. The identified flow of data packets is monitored over a number of sample periods to obtain a number of monitored results. A data-flow activity record is generated, having a number of symbols corresponding to the number of monitored results, the symbols including an active symbol value indicative of a presence of an exchange of data and an idle symbol value indicative of an absence of an exchange of data. A suitability of the identified data flow is inferred for estimating a throughput of the network according to the data-flow activity record without interpreting contents of each respective packet payload portion. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, detecting a loss of at least a part of a packet conveyed via a wireless link coupling a processing system and a user equipment, based on the detecting, identifying a cause of the loss as being due to one of a signal strength of a signal being less than a first threshold or an amount of data in a buffer exceeding a second threshold, resulting in an identification, and based on the identification, invoking an action. Other embodiments are disclosed.

Abstract: A computer-implemented method includes receiving information associated with a plurality of user equipment, wherein the information comprises location information for each of the plurality of user equipment and receiving information associated with a plurality of base stations. The computer-implemented method further includes analyzing the information associated with the plurality of user equipment or the information associated with the plurality of base stations. The computer-implemented method further includes in response to the analysis, detecting a trigger, wherein the trigger comprises reaching one or more thresholds. The computer-implemented method further includes based on the trigger, sending an alert to one or more of the plurality of user equipment or orchestrating movement of a component of each of the plurality of base stations.

Abstract: A network-connected electronic device may obtain, at a location, a notification that a network-connected sensor device at the location is activated in response to a triggering of a critical rule of the network-connected sensor device, determine whether the triggering of the critical rule of the network-connected sensor device will activate a function of the network-connected electronic device, activate the function of the network-connected electronic device in response to the determining that the triggering of the critical rule of the network-connected sensor device will activate the function of the network-connected electronic device.

Abstract: Restoring network configurations using network topology snapshots can include obtaining a first network topology snapshot that describes a first configuration of a network environment at a first point in time, obtaining a second network topology snapshot that describes a second configuration of the network environment at a second point in time, calculating a difference between the first network topology snapshot and the second network topology snapshot, presenting the difference for display, in response to determining that a request to restore a previous configuration has been received, identifying a configuration change that is to be reverted and a restore point associated with the configuration change to be reverted, and outputting a command that, when executed by an orchestration service, causes the orchestration service to revert the configuration change.

Abstract: Aspects of the subject disclosure may include, for example, receiving, via an interactive user interface, user selections of a dataset and a first dimension of a plurality of dimensions in a hierarchical structure, wherein the dataset corresponds to a specific domain and comprises anomalies or alerts that are aggregated in certain dimensions, and wherein a lattice of aggregations of the anomalies or alerts is defined for the specific domain, causing the interactive user interface to present a time series chart and a heatmap, wherein the time series chart portrays alert density across dimensions below the first dimension, wherein the heatmap displays, according to a visual scheme, concentrations of the anomalies or alerts across at least a portion of the dimensions below the first dimension, and wherein user interaction with the time series chart and/or the heatmap facilitates navigation of subspaces of the lattice and exploration of the concentrations of the anomalies or alerts.

Abstract: Aspects of the subject disclosure may include, for example, detecting data streams by a processing system including a processor, wherein the processing system is associated with an anomaly detection and alerting system in which stream processing and model maintenance is decoupled from one another, and wherein one or more dedicated virtual machines (VMs) store and maintain anomaly detection and alerting models, based on the detecting, causing, by the processing system, a plurality of stream-processing VMs to be instantiated for processing the data streams, and managing, by the processing system, data stream assignments for the plurality of stream-processing VMs based on monitoring of one or more conditions, wherein the plurality of stream-processing VMs process assigned data streams by executing instances of the anomaly detection and alerting models, and provide model outputs to the one or more dedicated VMs for updating of the anomaly detection and alerting models. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device, including: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: detecting a target behavior of a person and a first location of the person using a computer vision system in a monitored location; confirming the first location detected by the computer vision system matches a mobile location of a mobile device possessed by the person, wherein the mobile device is connected to a network providing communication services at the monitored location, and wherein the mobile location is determined by the network; and providing a reward to the mobile device responsive to the target behavior detected and the first location matching the mobile location. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system analyzes data including a user profile and historical data relating to previous interactions between an automated agent and equipment of the user. The method also includes determining a desirable outcome of an interaction between the automated agent and the user equipment; constructing a model for generating an expected outcome of a step of the interaction; using the model to perform a simulation of a next step of the interaction by generating an expected outcome for each of a plurality of possible actions, resulting in a plurality of expected outcomes; and selecting a next action for the next step of the interaction. If the desirable outcome is not obtained, the system can refine the plurality of possible actions to perform a simulation of a subsequent step of the interaction. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method that includes downloading, to each of a plurality of vehicles each including a sensor, a sharing microservice (SM) to collect sensor data comprising information regarding operation of the vehicle and an environment of the vehicle; receiving from each SM a sensor data feed comprising the collected sensor data, where each of the data feeds is accessible to each of the plurality of vehicles; generating for each of the plurality of vehicles an image of a local environment of that vehicle based on the sensor data feed; and communicating with a target vehicle to recommend a sensor data feed from another vehicle. Other embodiments are disclosed.

Abstract: The described technology is generally directed towards an automation agent for network equipment configuration. The automation agent can be incorporated into a network automation platform. The network automation platform can include, inter alia, a communication channel, such as a data movement as a platform (DMaaP) communication channel, which is used by various components of the network automation platform. The disclosed automation agent can monitor the communication channel for network equipment configuration communications generated by other components of the network automation platform. In response to a network equipment configuration communication, the automation agent can create an interface update file comprising the updated interface configuration data, and send the interface update file to a network equipment configuration update service for deployment to the network equipment.

Abstract: An architecture to dynamically create technology based geofences around defined or definable areas for UE, in particular aerial UE, while ensuring the safe operation of UE. A method can comprise identifying aerial user equipment entering a defined geographic area that is controlled by network equipment, monitoring the aerial user equipment and tracking a trajectory associated with the aerial user equipment in relation to a restricted area included in the defined geographic area, determining that the aerial user equipment is proximate to the restricted area, transmitting to the aerial user equipment, a first customized system information block message comprising data representing a warning message, determining that the aerial user equipment, based on the warning message, has not adapted the trajectory to avoid the restricted area, and transmitting to the aerial user equipment a second customized system information block message comprising data representative of a cell individual offset value.

Abstract: Methods are disclosed for optimizing execution of tasks for users. A processing system including a processor detects a triggering condition for a transport task for transporting a subject from a first location to a second location via usage of an autonomous vehicle, establishes a negotiated task coordination plan between a user and a third party provider for performing the transport task, and executes the negotiated task coordination plan, wherein the executing causes the autonomous vehicle to travel between the first location and the second location for transporting the subject.

Abstract: An intelligent agent monitors operation of at least one software virtualized network (VN). Context information associated with the VN is used to analyze a state of the VN. At least one configuration change is caused to the VN in response to analysis of the state of the VN. A change is identified to the state of the VN caused by the configuration change. A determination is made as to whether or not the change to the state of the VN is an improvement to operation of the VN. A response to the determination is made by causing at least one other configuration change to the VN.

Abstract: Aspects of the subject disclosure may include, for example, receiving a request for a configuration audit of a network device, identifying a class of the network device, retrieving a configuration template for the network device, wherein the retrieving is based on the class of the network device, wherein the configuration template is represented as a hierarchical tree structure, retrieving a current configuration of the network device, translating the current configuration of the network device to a tree data structure, comparing the tree data structure with the configuration template represented as a hierarchical tree structure, identifying discrepancies between the tree data structure and the configuration template represented as a hierarchical tree structure, reporting the discrepancies, receiving instructions to resolve the discrepancies, and modifying one of the current configuration for the network device and the configuration template for the network device, wherein the modifying is responsive to the i

Abstract: A method, where the method includes discovering an event where at least one device is offline and instantiating an emergency mode causing the at least one device to permit data or message aggregation. The method further includes defining a community of devices including an identity of the at least one device and establishing communication between the at least one device and a mobile aggregation device. The method further includes when the mobile aggregation device is in communication with the at least one device, aggregating a payload of a message or data from the at least one device and the community having an artificial intelligence instantiated as a virtual network function or network device, the community communicating with the mobile aggregation device to receive data from the at least one device, and the artificial intelligence being configured to assess the event based on the data obtained by the mobile aggregation device.

Abstract: Aspects of the subject disclosure may include, for example, an end-user 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: storing for each other end-user device of a plurality of other end-user devices a respective identification, the end-user device and the plurality of other end-user devices forming a group; receiving a first indication of a first subset of the group with which to carry out first communications, the first subset comprising one or more first target end-user devices selected from the group; responsive to receipt of the first indication, sending to each of the one or more first target end-user devices a first instruction to communicate with the end-user device via a first dynamically determined channel; and engaging in the first communications with each of the one or more first target end-user devices after each of the one o

Abstract: Aspects of the subject disclosure may include, for example, determining a Reference Signal Received Power (RSRP) and a Signal to Noise Ratio (SNR) for a plurality of carriers at a user equipment (UE) device, the plurality of carriers transmitted by a source group of cells including a source primary cell (PCell) and one or more source secondary cells (SCells) associated with the source PCell, and initiating a handover of communication with the UE device from the source group of cells to a target group of cells, wherein the target group of cells includes a target PCell and one or more target SCells, wherein the initiating the handover is responsive to the RSRP exceeding a predetermined RSRP threshold and the SNR exceeding a predetermined SNR threshold. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method including generating a plurality of discrete polygons from a digital image of a location, modifying a boundary of a first discrete polygon of the plurality of discrete polygons based on a user input at a venue map graphical user interface, assigning, at the venue map graphical user interface, a first zone of a plurality of zones associated with a first venue of a plurality of venues to a second discrete polygon of the plurality of discrete polygons, and presenting a performance map graphical user interface for the first venue of the plurality of venues including the second discrete polygon of the plurality of discrete polygons overlaid onto the digital image of the location. Other embodiments are disclosed.

Abstract: Methods may include alerting fixed service microwave operators that their network has been compromised due to interference, before their service is necessarily impacted. In an example, method may include receiving instructions to test fade margin for a wireless communication link associated with a receiver radio, wherein the wireless communication link is passing live traffic; testing the fade margin while the wireless communication link is passing the live traffic; receiving error information, wherein the error information is based on an error correction mechanism for the wireless communication link; based on the error information, determining that a threshold number of errors has been reached; and sending an alert based on the threshold number of errors.

Abstract: The described technology is generally directed towards creation of shared overlay maps to support automated, real-time, cross-platform sharing of map information among groups of digital navigational map users, including but not limited to unmanned ground vehicles (UGVs). A central map authority (or other collaborative/federated organizational entity) can receive map overlay information from a mobile subscriber device, such as a UGV. The central map authority can promulgate the map overlay information to a group of multiple mobile subscriber devices according to the techniques described herein. Individual mobile subscriber devices can use received map overlay information, along with their individual digital navigational maps (DNMs) and navigation systems, to plan their individual routes.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first portion of a communication service via a first signal having a first frequency within a first band of frequencies, subsequent to the obtaining of the first portion of the communication service, obtaining data associated with a plurality of parameters, analyzing at least the data to identify when a scan for a second signal having a second frequency within a second band of frequencies should be performed, wherein the second band of frequencies is different from the first band of frequencies, and scanning for the second signal based on the analyzing. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device, including: a sensor affixed to an article of clothing; a transducer affixed to the article of clothing; a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: receiving sensor data from the sensor; processing the sensor data; sending the sensor data to a trained machine learning (ML) model having as inputs the sensor data, and providing as output, control data to control the transducer; receiving the control data from the trained ML model; and sending the control data to the transducer to provide therapy to a patient. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving a data packet for transmission over a wireless network to a user equipment (UE) device in data communication with one or more network elements over one or more carrier legs of the wireless network, receiving information about current network conditions, retrieving a set of packet splitting rules which define initial boundary conditions for a process of splitting packets into smaller data packets for transmission to the UE device, applying, in a machine learning model, one or more packet splitting rules of the set of packet splitting rules to split the data packet into a set of smaller data packets, based on the information about current network conditions in the wireless network, selecting, in the machine learning model, a flow control arrangement for the data packet, including determining a number of smaller packets to split the data packet, and selecting respective carrier legs of the one or more carrier legs of the wireless network for c