Abstract: Aspects of the subject disclosure may include, for example, a broadband modem that includes a wireless modem and a wireline modem. A traffic integrate and split unit (TISU) within the broadband modem may split uplink data between the wireless and wireline connection based on a scheduling criteria. The TISU may also integrate or combine downlink data received by the wireless and wireline modems. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, methods and apparatus to configure low power transmitters that operate in unlicensed 6 GHz spectrum in an effort to reduce the likelihood that the low power transmitters will cause interference to incumbent operators of fixed microwave links in the same 6 GHz spectrum. The low power transmitters may be any transmitter in the unlicensed spectrum, including for example, low power indoor access points, 5G small cells, and the like. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining contextual information associated with a user, wherein the user is engaged in an immersive environment using a target user device, and wherein the contextual information comprises user profile data, data regarding a location of the user, data regarding one or more inputs provided by the user, or a combination thereof, receiving data regarding a metaverse object in the immersive environment, determining a relevance of the metaverse object to the user based on the contextual information and the data regarding the metaverse object, responsive to the determining the relevance of the metaverse object to the user, generating a personalized recommendation or review of the metaverse object for the user, and causing the personalized recommendation or review to be provided to the user in the immersive environment for user consumption. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, collecting information about capabilities of a user equipment (UE) device operating on a radio communication network, collecting information about requirements and status of the UE device, collecting information about the radio communication network, selecting a carrier aggregation arrangement for the UE device based on at least the information about capabilities and the information about requirements and status, forming a selected carrier aggregation arrangement, and configuring network nodes of the radio communication network according to the selected carrier aggregation arrangement. Other embodiments are disclosed.

Abstract: An artificial intelligence (AI) automation to improve network quality based on predicted locations is provided. A method can include training, by a first device comprising a processor and according to model configuration parameters received from a second device that is not the first device, a local machine learning model with training data derived from first location data collected by the first device; transmitting, by the first device to the second device, anonymized model features associated with the local machine learning model; in response to the transmitting of the anonymized model features, receiving, by the first device from the second device, an aggregated machine learning model; and estimating, by the first device, a future position of the first device by applying the aggregated machine learning model to second location data collected by the first device.

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: receiving, based upon a first communication between first user equipment and a first wireless network, a first temporary identifier of the first user equipment; correlating the first temporary identifier to a first permanent identifier of the first user equipment; tracking a first amount of data that is carried by the first wireless network and that is associated with the first user equipment, resulting in first tracked data usage, wherein the tracking is based upon the correlating of the first temporary identifier to the first permanent identifier; determining whether the first tracked data usage exceeds a first threshold, resulting in a first determination; and responsive to the first determination being that the first tracked d

Abstract: The concepts and technologies disclosed herein are directed to incentivized rental vehicle return. According to one aspect disclosed herein, a user device can determine a return location and a return date for a rental vehicle that is subject to an existing vehicle rental agreement between a user and a rental company. The user device can calculate a return on investment (“ROI”) for the return location and the return date in consideration of an incentive to be provided to the user, compare the ROI to an initial ROI based on the existing vehicle rental agreement, and determine whether the ROI is greater than the initial ROI. The user device also can present, to the user, a return option that identifies the return location, the return date, and the incentive when the ROI is greater than the initial ROI.

Abstract: Aspects of the subject disclosure may include, for example, obtaining, by a processing system including a processor, a first broadcast message, wherein the first broadcast message includes a value for a parameter associated with a first frequency band, determining, by the processing system and based on the value, that the processing system is not configured to use the first frequency band as part of communications in a network, and subsequent to the determining, the processing system refraining from scanning for an availability of the first frequency band within the network. 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 receiving an original audio signal for an interval; creating a time-series graphical image of the original audio signal for the interval; compressing the time-series graphical image, thereby creating a reduced resolution image; recreating a retrieved audio signal from the reduced resolution image; determining whether a comparison of the retrieved audio signal to the original audio signal meets a quality threshold; responsive to meeting the quality threshold, compressing the reduced resolution image further and repeating the recreating and determining steps; and transmitting a last reduced resolution image that meets the quality threshold. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, identifying a coherence time for a user equipment (UE), identifying a coherence bandwidth for the UE, determining a coherence block based on the coherence time and the coherence bandwidth, and, based on a first determination that the coherence block satisfies a threshold, permitting the UE to transmit sounding reference signal (SRS) data over a smaller SRS bandwidth that is smaller than a default SRS bandwidth, at a lower periodicity that is lower than a default periodicity, or a combination thereof, thereby conserving power resources of the UE. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving a plurality of proposed machine learning solutions to a machine learning problem including receiving, for each respective proposed machine learning solution of the plurality of proposed machine learning solutions, one or more of a machine learning model, a dataset and a data pipeline output; automatically determining hybrid solutions to the machine learning problem, including combining, by the processing system, at least one of a first component from a first proposed machine learning solution with at least one of a second component from a second proposed machine learning solution; and ranking the hybrid solutions including determining a log loss score for each hybrid solution and sorting the hybrid solutions according to the log loss score for each hybrid solution. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, generating a topological representation of a first portion of a communication network, obtaining data via an activation of a probe, wherein the data corresponds to an indicator of performance within the first portion of the communication network, modifying the topological representation to include a value corresponding to the indicator of the performance, resulting in a modified topological representation, and presenting the modified topological representation via an input/output device. 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 allocating a port for receiving a request to access a resource of a second device, wherein the second device has a non-routable network address, wherein the device is on a first network, wherein the second device is on a third network, and wherein the first network and the third network are communicatively coupled by the second network; opening a second connection to a network element on the second network responsive to receiving a first connection; sending a first message to the network element to create a meeting with the resource; and sending a Geocast message requesting that the second device create a third connection that enables access to the resource, wherein the Geocast message identifies a geographic area in which the second device is physically

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 identifying a public land mobile network (PLMN) identifier associated with a communications network; determining a tracking area code (TAC) range of a plurality of cell sites in a radio access network (RAN) associated with the PLMN identifier; identifying transport network circuits of a transport network connecting the plurality of cell sites with a core network of the communications network; and displaying a user interface comprising a graphical representation of the core network, the transport network and the RAN. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method that includes registering, by a processing system including a processor, a first financial compliance app (FCA) executing on a first user device and a second FCA executing on a second user device; communicating with the first and second user devices to facilitate a transaction between the user devices that includes disposition of a cryptocurrency asset; receiving a report of the transaction from the first and second FCAs; recording information regarding the transaction; and generating an accounting report, a taxation report, a compliance report, and/or a user report regarding the transaction. The first and/or second user device provides a virtual environment; the processing system includes application program interfaces (APIs) for communicating with the first and second user devices; and the first and/or second FCA determines applicable rules relating to the transaction. Other embodiments are disclosed.

Abstract: A processing system including at least one processor may obtain, from a device of a requesting entity, a request to verify an identity of a user in a visual feed, obtain the visual feed from an endpoint device associated with the user, the visual feed including first visual biometric data of the user, and extract the first visual biometric data from the visual feed. The processing system may then retrieve second visual biometric data of the user from a plurality of distributed storage nodes, each storing a portion of the second visual biometric data, determine a match between the first visual biometric data and the second visual biometric data, and transmit the visual feed to the device of the requesting entity, where the visual feed includes an indication of an authentication of the user, in response to the determining the match between the first and second visual biometric data.

Abstract: Facilitating implementation of communication network deployment through network planning in advanced networks (e.g., 5G, 6G, and beyond) is provided herein. Operations of a system can include, configuring a first deployment scenario for first network equipment and a second deployment scenario for second network equipment. The first deployment scenario is selected from a group of first deployment scenarios and can include a first parameter. The second deployment scenario is selected from a group of second deployment scenarios and can include a second parameter. The configuring can include determining that a sum of the first parameter and the second parameter satisfies a function of a defined parameter level. The operations also can include facilitating a first enactment of the first deployment scenario for the first network equipment and a second enactment of the second deployment scenario for the second network equipment.

Abstract: A method, system, computer readable storage medium, or apparatus provides for receiving a first message from a user equipment (UE), wherein the first message comprises an indication of one or more conditions, wherein the one or more conditions comprises an indication that the UE has a radio mode that comprises new radio (NR); determining a required idle period for long term evolution (LTE) for the UE; determining, based on the first message and the required idle period for LTE, a transmission time interval (TTI) for NR that corresponds to the required idle period for LTE; and sending, to the UE, a second message, wherein the second message comprises an indication of the TTI for NR.

Abstract: Concepts and technologies disclosed herein are directed to autonomous vehicle pairing management. According to one aspect disclosed herein, a fleet pairing management application executed by a processor of an autonomous vehicle can initiate a fleet pairing process with a plurality of other autonomous vehicles, each of which can execute one of a plurality of other fleet pairing management applications. The fleet pairing management application can send, over a network, an initiate network pairing request to the plurality of other autonomous vehicles. The fleet pairing management application can receive a confirm network pairing response from at least one other autonomous vehicle of the plurality of other autonomous vehicles. A fleet can then be established. The fleet can include the autonomous vehicle and the at least one other autonomous vehicle of the plurality of other autonomous vehicles. The autonomous vehicles in the fleet can then share data among the fleet.

Abstract: Aspects of the subject disclosure may include a method including steps of, for each segment of a content item during presentation of a content item, obtaining current consumption context information, determining a current consumption context for the segment according to the consumption context information, selecting a filtered set of audio track and video track variants for the segment according to the current consumption context and track variant information, selecting an audio track and a video track for the segment from the filtered set of audio track and video track variants according to a dynamic network condition, receiving a data stream for the segment from a server over a network including the audio track and the video track for the segment, and presenting the segment of the content item according to the audio track and the video track via a video output and an audio output. 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: selecting a first building block pattern function (bbDNA) having a first weight from a catalog, wherein the first bbDNA is based on a first mature pattern reaching a first bbDNA frequency threshold, wherein the first bbDNA is associated with at least one machine learning (ML) model of a plurality of ML models; selecting a second bbDNA having a second weight from the catalog, wherein the second bbDNA is associated with at least one ML model in the plurality of ML models; and creating a new ML model based on a combination of the first bbDNA and the second bbDNA. 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 authenticating an identity of a user of user equipment that controls a virtual entity in a virtual environment; receiving a data feed providing images from the virtual environment; correlating signals from the user equipment with actions of the virtual entity observed in the images; and issuing a warning responsive to the user being unidentified or the signals being uncorrelated with the actions. 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: determining that the device will be communicating as a remote user equipment (UE) with a wireless access point of a network via a relay UE, wherein the relay UE is configured to forward first communications from the device when the device is operating as the remote UE to the wireless access point, and wherein the relay UE is configured to forward second communications from the wireless access point to the device when the device is operating as the remote UE; creating a message indicative of the device operating as the remote UE, the message conforming to a communication protocol; and transmitting the message to the relay UE. 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: obtaining a list of a plurality of known cell sites, the list comprising for each known cell site of the plurality of known cell sites a respective set of known geospatial coordinates; obtaining for each set of known geospatial coordinates, a corresponding aerial image; applying each corresponding aerial image to an automated process to generate a model, the model being usable to determine whether a particular test aerial image depicts a cell site; obtaining from a database an identification of an asserted cell site, the identification of the asserted cell site comprising a set of asserted geospatial coordinates; obtaining for the set of asserted geospatial coordinates, a test aerial image; applying the test aerial image to the mo

Abstract: Facilitating assignment of root sequence index while minimizing network changes is provided herein. Operations of a system include determining an initial assignment of root sequence indexes for a group of network equipment. The operations can also include evaluating the initial assignment for first assignments that satisfy a defined criterion and second assignments that fail to satisfy the defined criterion. Based on the defined criterion, the operations can include updating the second assignments, resulting in updated second assignments. Further, the operations can include determining a revised assignment of root sequence indexes for the group of network equipment, wherein the revised assignment comprises the first assignments and the updated second assignments.

Abstract: Aspects of the subject disclosure may include, for example, methods and apparatus to configure low power transmitters that operate in unlicensed 6 GHz spectrum in an effort to reduce the likelihood that the low power transmitters will cause interference to incumbent operators of fixed microwave links in the same 6 GHz spectrum. The low power transmitters may be any transmitter in the unlicensed spectrum, including for example, low power indoor access points, 5G small cells, and the like. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, identifying a private cellular network that includes a group of wireless communication devices and a private cellular service area in which the group of wireless communication devices may receive a private cellular network service. A radio access network (RAN) of a group of RANs in communication with a mobile core network of a public mobile cellular network is configured to provide a wireless coverage area that contains an entirety of the private cellular service area. A virtual machine is configured as a private cellular network controller that is adapted to provide the private cellular network service to wireless communication devices of the private cellular network group operating within the service area. The private cellular network service does not utilize the mobile core network. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, methods and apparatus to configure low power transmitters that operate in unlicensed 6 GHz spectrum in an effort to reduce the likelihood that the low power transmitters will cause interference to incumbent operators of fixed microwave links in the same 6 GHz spectrum. The low power transmitters may be any transmitter in the unlicensed spectrum, including for example, low power indoor access points, 5G small cells, and the like. Other embodiments are disclosed.

Abstract: According to an embodiment, a system can comprise a processor and a memory that can store executable instructions that, when executed by the processor, facilitate performance of operations. The operations can include generating a reference signal in an initial domain, and first transforming the reference signal into a time-frequency domain, resulting in a first transformed reference signal. The operations can further include transmitting the first transformed reference signal to a user equipment for a second transformation to be applied to the transformed reference signal by the user equipment, resulting in a second transformed reference signal. Further, in response to the transmitting the first transformed reference signal, receiving a signal from the user equipment that was configured, based on the second transformed reference signal.

Abstract: A personal conversationalist system includes a processor, and a computer-readable medium storing instructions which, when executed by the processor, cause the processor to operations that include receiving a first data input feed, accessing a first user profile that is as associated with a first user, detecting a conversation event when first data in the first data input feed satisfies a first conversation event condition, generating a first conversationalist persona based on the conversation event, the first user profile, and data provided in the first data input feed; and initiating a first conversation session via the first conversationalist persona by outputting a first conversationalist persona response that is based on the conversation event, the first user profile, and the data provided in the first data input feed.

Abstract: Aspects of the subject disclosure may include, for example, receiving environmental data from a plurality of environmental data sources, identifying environmental risks based on the environmental data, obtaining profile information relating to a user or entity, based on the obtaining the profile information and the identifying the environmental risks, generating a recommendation for one or more locations of possible interest, and causing the recommendation to be presented to the user or entity, thereby providing location-based environmental risk information that is customized on a per user or per entity basis. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining node data identifying for a network a source node, a destination node and a plurality of other nodes; obtaining reference path data identifying a reference path from the source node to the destination node; obtaining alternate path data identifying a plurality of alternate paths from the source node to the destination node, setting for the reference path a possible split threshold identifying a traffic bandwidth which can trigger a re-direction of traffic from the reference path; determining whether a current traffic flow on the reference path meets the possible split threshold, resulting in a first determination; responsive to the first determination, obtaining, subsequent to the setting for the reference path of the possible split threshold, current alternate path data for each of the plurality of alternate paths, wherein the current alternate path data comprises for each of the alternate paths a respective current alternate path bandwidt

Abstract: Aspects of the subject disclosure may include, for example, adjusting bandwidth allocated for a first group of communication devices communicatively coupled to a first communication network from a bandwidth limited allocation to a no bandwidth limited allocation, and measuring a first group of metrics associated with the first group of communication devices associated with the first communication network. Further embodiments include computing a second group of metrics associated with a second group of communication devices communicatively coupled to a second communication network according to the first group of metrics, the second group of communication devices have the no bandwidth limited allocation, and allocating a first group of network resources for the second group of communication devices according to the second group of metrics. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining, by a wireless router or a wireless access point (WAP) associated with a fixed network connection, that a network condition is satisfied, based on the determining that the network condition is satisfied, detecting for available networks operating in licensed spectrum and available networks operating in unlicensed spectrum, responsive to the detecting, identifying a first available network operating in licensed spectrum and a second available network operating in unlicensed spectrum, and aggregating, in one or more link aggregation groups, a first connection established with the first available network and a second connection established with the second available network, thereby augmenting a network capacity of the fixed network connection. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining input data, processing the input data to generate output data, the output data including an identification of one or more characteristics associated with tethered communications involving at least a first user equipment, and based on the identification of the one or more characteristics, causing an action to be taken. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, analyzing data in accordance with at least one algorithm to select one of carrier aggregation or dual connectivity for providing a communication service in respect of a communication device, resulting in a selection, and providing the communication service to the communication device in accordance with the selection. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, adjusting bandwidth allocated for first communication devices of a first communication network from a first bandwidth limit to no bandwidth limit, measuring first metrics of the first communication devices, computing second metrics of second communication devices of a second communication network, in which there is no bandwidth limit allocated to the second communication devices, determining a first allocation of first network resources for the second communication devices.

Abstract: Embodiments of this disclosure may include monitoring, via a circuit, a level of a current, detecting, based on the monitoring, that the level of the current exceeds a threshold, where the threshold is indicative of an occurrence of at least one event, engaging, based on the detecting, a health check in respect of: a first component of a first waveguide device, a second component of a second waveguide device, a portion of a transmission medium between the first waveguide device and the second waveguide device, or any combination thereof, where the transmission medium is utilized to convey a first electromagnetic wave that is guided by and propagates along the transmission medium without requiring an electrical return path, and transmitting, based on the engaging, a report, a signal, or a combination thereof, that is indicative of a health status resulting from the health check. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data pertaining to a plurality of user equipment and a plurality of network resources, analyzing the data to identify that a first user equipment included in the plurality of user equipment is a reduced capability device, based on the analyzing, allocating first network resources included in the plurality of network resources to the first user equipment, resulting in a first allocation, and based on the analyzing, allocating second network resources included in the plurality of network resources to a second user equipment included in the plurality of user equipment, resulting in a second allocation. 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 network configuration data from a plurality of location-based services nodes in a network; transforming the network configuration data into reference audit values; comparing the reference audit values with the network configuration data received from each location-based services node in the plurality of location-based services nodes to generate corrections; and sending the corrections to each location-based services node in the plurality of location-based services nodes responsive to the network configuration data deviating from the reference audit values. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a mechanism to switch mobile device management solutions used to manage device functions. A device may have multiple mobile device management solutions resident on the device, and in response to a received trigger, may activate one mobile device management solution and deactivate another mobile device management solution. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, identifying geographic clusters that are similar based on metrics and geo-spatial association. Embodiments of the disclosure are directed to operations that include obtaining data corresponding to a communication network, applying a first algorithm to the data to generate a plurality of bins, generating a respective score for each bin of the plurality of bins, applying a second algorithm, based on the respective scores, to generate a plurality of clusters, and generating a graph for each cluster of the plurality of clusters, wherein vertices of each graph are represented by the bins of the cluster, and wherein edges of each graph connect the bins of the cluster to adjacent bins of the cluster. Other embodiments are disclosed.

Abstract: A processing system deployed in a communication network may detect a condition for merging at least a first logical network of the communication network and a second logical network of the communication network. The first logical network may be reserved for use by at least a first plurality of endpoint devices of at least a first public service entity, and the second logical network is reserved for use by at least a second plurality of endpoint devices of at least a second entity. The processing system may then merge the first logical network and the second logical network to create a merged logical network, in response to the detecting of the condition. The merging may include allocating a set of network resources to the merged logical network and authorizing the first plurality of endpoint devices and the second plurality of endpoint devices to access the merged logical network.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system coupled to a communication network identifies, based on base station unit (BSU) performance measurements and network key performance indicator (KPI) measurements, a set of BSUs experiencing interference. The method further includes selecting BSUs from the identified set that are to be provided with an auxiliary antenna array; and computing, for each BSU in the identified set, parameters to be used by modules of the BSU that are local to the BSU and configured to perform interference detection, interference estimation, and/or interference cancellation; the computed parameters are used in a reconfiguration procedure for the modules of the BSU. Other embodiments are disclosed.

Abstract: The technologies described herein are generally directed to preparing for a connection with a user equipment while the user equipment is in an idle state in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include facilitating transmitting a signal directed by an antenna of base station equipment. The method can further include, facilitating receiving, from a user equipment, a message, wherein the message comprises feedback information describing receipt of the signal while the user equipment was in an idle mode at a location. Further, the method can comprise, based on the feedback information and the location, generating a model of signal propagation applicable to signals at the location.

Abstract: Aspects of the subject disclosure may include, for example, dividing a feature range of a feature into a plurality of subsets that span the feature range, calculating an average target variable value for each subset of the plurality of subsets, resulting in a plurality of average target variable values, and estimating a measure of feature significance with respect to a target variable by determining a difference between a maximum average target variable value and a minimum average target variable value in the plurality of average target variable values. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device in which a processing system defines service attributes for a function of an internet multimedia subsystem (IMS) core; the function is dedicated for providing a service to a user endpoint (UE) device. The processing system facilitates constructing a resource profile of the IMS core that includes the function; registering the function at a network repository function (NRF) associated with the IMS core; discovering the function from the NRF; obtaining a service requirement of the UE; and matching the service requirement with the service attributes in accordance with matching criteria. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a list of a plurality of communication channels, each communication channel being associated with at least one respective feature of a plurality of features; correlating each communication channel in the list with at least one respective user response of a plurality of user responses; receiving an identification of a new communication channel that does not exist in the list, the new communication channel being associated with at least one feature of the plurality of features; determining, based upon the at least one feature that is associated with the new communication channel, with which one or more of the plurality of communication channels in the list the new communication channel is similar, resulting in a determination; and assigning, based upon the determination, at least one of the plurality of user responses to the new communication channel. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, identifying a threshold value of a streaming-media key performance indicator (KPI) based on a predetermined target portion of end-user devices that provide an acceptable performance. Performance records are obtained for a content delivery network (CDN) adapted to cache and serve media content requested by the end-user devices. Predicted values of the streaming-media KPI are generated according to the performance records of the CDN and compared to the threshold value of the streaming-media KPI to obtain a comparison. An anomaly is detected according to the comparison, to indicate that a predetermined number of the predicted values of the streaming-media KPI fail to satisfy the threshold value. Other embodiments are disclosed.

Abstract: The concepts and technologies disclosed herein are directed detecting and mitigating drive-by home WI-FI hijack attacks. According to one aspect, a war driving activity correlation system can obtain a report from a home gateway system. The report can identify a suspicious device attempting to connect to a WI-FI network provided, at least in part, by the home gateway system. The war driving activity correlation system can determine, based upon the report, a route of an attacker who uses the suspicious device. The war driving activity correlation system can send instructions to the home gateway system. The instructions can include the route and can specify one or more mitigation actions to be performed by the home gateway system, such as blacklisting a media access control address associated with the suspicious device. The mitigation action(s) can be based upon one or more policies.