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 gathering and aggregating historical data provided to an APN gateway of a connected car manufacturer and a packet core of a communications network; using the historical data gathered and aggregated to train a ML model to recognize anomalies from the historical data, thereby creating a trained ML model; monitoring current data provided to the APN gateway and the packet core; and generating an alert when the trained ML model recognizes an anomaly. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device in which a processing system receives an electromagnetic signal including a plurality of packets, stores a copy of the packets in a memory, converts the signal to an optical signal, and splits the optical signal into first and second optical signals each including the packets. A first converter and second converter then convert the optical signals to electromagnetic signals. A timing coordinator sends a timing signal to the memory and to the first and second converters, resulting in simultaneous release of a copied packet from the memory and first and second packets from the first and second converters. The system compares the copied packet with the first and second packets; if those packets are identical to the copied packet, the system outputs the first and second packets in outgoing signals. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, detecting, over a network, a call originating from a call originator and intended for a user of a user equipment, responsive to the detecting the call, determining whether to challenge the call originator, based on a determination to challenge the call originator, transmitting a request to the call originator, wherein the request prompts the call originator to specify an identity of the call originator and a purpose for the call, obtaining information from a call originator input responsive to the transmitting the request, deriving enhanced Caller Name or Caller ID data that includes the information, and causing the enhanced Caller Name or Caller ID data to be provided to the user equipment, thereby enabling the user of the user equipment to determine whether to answer the call. Other embodiments are disclosed.

Abstract: Dispatch of drones is disclosed. Example drone dispatching methods include transmitting a flight plan for a drone to a flight control platform associated with first operator for piloting the drone. The flight plan is based on a first location associated with a service request. In response to receiving a message from the flight control platform, a first communication session between the flight control platform and a flight control unit of the drone is initiated to permit remote piloting of the drone. A drone observation platform associated with a second operator is selected based on a subject matter qualification associated with the second operator and descriptive information included in the service request. A second communication session between the flight control platform and the drone observation platform is initiated for remote piloting of the drone.

Abstract: A processing system including at least one processor may transmit a notification of a presence of an emergency service vehicle to a plurality of entities, obtain, from at least a first entity of the plurality of entities, at least a first acknowledgement of the presence of the emergency service vehicle, determine that at least a second acknowledgement is not obtained from at least a second entity of the plurality of entities, and present information associated with the at least the second entity to a device of the emergency service vehicle.

Abstract: An architecture to avoid handover ping-pong for aerial user equipment (UE) operational in terrestrial fourth generation (4G) and/or fifth generation (5G) long term evolution (LTE) networks. A method can comprise receiving a request to connect to the network equipment from aerial user equipment; based on the request to connect, retrieving subscription data; based on the subscription data, determining that the aerial user equipment is aerial equipment; determining that the aerial user equipment is engaged in a ping-pong handover event with terrestrial based network equipment situated within a defined geographic area; and transmitting instructions to the aerial user equipment to confirm the ping-pong handover event, wherein the instruction comprises a delay value representing a back off time value for the aerial user equipment to refrain from gathering measurement data within the defined geographic area.

Abstract: Aspects of the subject disclosure may include, for example, identifying a number of radio resources of a mobile device, detecting activity of an application, and determining a data communication requirement of the application. The data communication requirement is compared to a first component carrier capacity and responsive to it exceeding the first component carrier capacity, a number of secondary component carriers providing secondary capacities are identified according to the data communication requirement, wherein a combination of the first capacity and the number of secondary capacities is not less than the data communication requirement. A group of the radio resources is configured according to the number of secondary component carriers, wherein a number of the group of the radio resources does not exceed the maximum number of the radio resources, and wherein the data communication requirement is accommodated by the combination of the first and secondary capacities. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, generating a management manifest for a network function (NF) software application, wherein the NF software application is to be deployed in a cloud computing environment, based on the generating the management manifest, deriving a software package that includes the NF software application and the management manifest, and causing the software package to be outputted for deployment in the cloud computing environment, wherein inclusion of the management manifest with the NF software application in the software package facilitates utilization of the management manifest for monitoring and management of a system that results from deployment of the NF software application in the cloud computing environment. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method that includes receiving user input to configure a secure storage unit (SSU) having a first portion attached to a network and storing encrypted data, a second portion attached to the network and storing unencrypted data, and a third portion attachable to the network. The user input defines a security level for each portion. The method also includes receiving a data object for storage in the SSU, and determining a data security level for the data object; the data security level is determined by user input regarding the data object and/or analysis of the data object by the processing system, and the analysis includes analysis of attributes of the data object and/or content of the data object. The method further includes storing the data object in the SSU according to the data security level. Other embodiments are disclosed.

Abstract: The concepts and technologies disclosed herein provide high availability and high utilization cloud data center architecture for supporting telecommunications services. According to one aspect of the concepts and technologies disclosed herein, a 4-site model of application placement within the cloud computing environment provides 37.5% resource utilization with site availability of five 9s (99.999%) and virtual machine availability of five 9s. According to another aspect of the concepts and technologies disclosed herein, a 3-site model of application placement within the cloud computing environment provides 66% resource utilization with site availability of five 9s and virtual machine availability of five 9s. According to another aspect of the concepts and technologies disclosed herein, a 4-site model of application placement within the cloud computing environment provides 75% resource utilization with site availability of five 9s and virtual machine availability of five 9s.

Abstract: A device, method or executable instructions that include receiving, over a network, an authentication request from a user device for performing a function utilizing a first authentication method, obtaining network intelligence data for a mobile network over the network, and identifying a risk for each of multiple authentication methods in response to analyzing device security behavior and the network intelligence data. Further embodiments include identifying a first risk for the first authentication method and identifying a second risk for the function, determining the first risk is higher than the second risk, and identifying a second authentication method that is associated with the second risk. Additional embodiments include notifying the user device of the second risk for the function, and providing a recommendation to the user device to utilize the second authentication method to perform the function. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method including assessing a danger level associated with an object; locating a target person and a caregiver; monitoring movement of an unsupervised target person relative to a boundary around the object; and providing a warning in a caregiver's voice if the person crosses the boundary. A content and volume of the warning, a direction of the warning with respect to a trajectory of movement of the person, and a tone of voice of the warning can be selected according to the danger level and a profile of the person. The method also includes initiating a distraction procedure directed to the person according to the profile; the distraction can include an audio message directing attention of the person to another object. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, providing, over a mobile network, first instructions to a first serving base station to indicate to a first communication device communicatively coupled to the first serving base station to obtain a beam bitmap of a group of base stations in proximity to the first serving base station. Further embodiments can include receiving, over the mobile network, the beam bitmap from the first serving base station, and determining a beam density for each of the group of base stations. Additional embodiments can include adjusting a neighbor list to include the beam density for each of the group of base stations resulting in an adjusted neighbor list. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, applying a contaminant-mitigation technique to a chamber, wherein the chamber seats a first end of a first hollow core fiber (HCF) and a second end of a second HCF, cutting a first portion of the first end, resulting in a first exposed end, cutting a second portion of the second end, resulting in a second exposed end, and joining the first exposed end and the second exposed end to generate a single HCF. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data, wherein the data includes first data that indicates an amount of mobility of a user equipment, second data that indicates a function that is facilitated as part of a communication service involving the user equipment, and third data that indicates a requirement pertaining to a quality of service associated with the communication service, based on the obtaining of the data, analyzing the data to establish rules in relation to paging involving beams of network infrastructure and the user equipment, and transmitting at least one message to the user equipment so that the user equipment is configured to adhere to the rules. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving, over a communication network, a measurement report from each of group of communication devices associated with a mobile network resulting in a group of measurement reports, and determining a first communication device of the group of communication devices requests a handover from a serving base station to another base station. Further embodiments can include selecting a receiving base station from a group of base stations based on the group of measurement reports, and providing instructions to the serving base station to handover the first communication device to the receiving base station. Other embodiments are disclosed.

Abstract: Aspects of this disclosure may include identifying a priority set of beams from a set of beams associated with an area, wherein a first count of beams included in the priority set of beams is less than a second count of beams included in the set of beams, transmitting, based on the identifying, at least one message that includes an identifier of each beam included in the priority set of beams, subsequent to the transmitting of the at least one message, transmitting a first paging message directed to a communication device in association with a first beam included in the priority set of beams, obtaining a first paging response from the communication device based on the transmitting of the first paging message, and transmitting first payload data associated with a communication service to the communication device based on the obtaining of the first paging response. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method performed by a processing system; the method includes receiving a plurality of values of key performance indicators (KPIs) relating to performance of a cell on a communication network. The plurality of values of the KPIs includes labeled training data for training a machine learning (ML) model for the performance of the cell. The method further includes iteratively executing, using the labeled training data, a training procedure for the ML model; and testing the trained ML model. The labeled training data corresponds to ground truth data that may include a training data set, a validation data set and a test data set. The trained ML model, when deployed on a communication network, receives as input near-real time data regarding the performance of the cell and provides as output predictions of the performance of the cell. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, identifying a first communication device in idle mode, determining a first location associated with the first communication device, and determining a first mobility type associated with the first communication device. Further embodiments can include obtaining a neighbor list associated with a group of base stations in proximity to the first communication device, the neighbor list include a group of beam identifiers associated with each of the group of base stations. Additional embodiments can include providing first instructions to a serving base station associated with the first communication device indicating the serving base station to generate a beam priority table based on the first location of the first communication device, first mobility type associated with the first communication device, and the group of beam identifiers associated with each of the group of base stations. Other embodiments are disclosed.

Abstract: A processing system including at least one processor may obtain a location of a mobile device and a barometric pressure reading of the mobile device, identify a weather reference area and a ground reference area containing the location, and calculate an elevation of the mobile device from the barometric pressure reading of the mobile device and a barometric pressure metric of a weather reference point of the weather reference area, where the weather reference point has a predetermined elevation. The processing system may then determine a height of the mobile device over a ground level of the location based upon the elevation of the mobile device that is calculated and based upon an elevation of a ground reference area containing the location and provide a report of the location of mobile device including the height of the mobile device over the ground level that is determined.

Abstract: A framework referred to as COmposition fRamework for chaNge management (CORNET) may integrate re-usable abstraction, modular composition with plug-and-play capabilities, or automated translation of high-level change management intent into low-level implementations and mathematical models. CORNET may use real-world data collected from cellular networks (e.g., 4G or 5G) and virtualized services, such as virtual private networks (VPN) and software defined wide area networks (SDWAN) running in the cloud.

Abstract: Aspects of the subject disclosure may include, for example, causing, by a processing system including a processor, a first optical signal to be conveyed within a first communication device from a first component of the first communication device to a second component of the first communication device via a first fiber including a first hollow core fiber, and causing, by the processing system, the first optical signal to be transmitted from the first communication device to a second communication device via a second fiber. Other embodiments are disclosed.

Abstract: Concepts and technologies disclosed herein are directed to automated optimization of events by engagement and format. According to one aspect disclosed herein, an event management system can create an event for a specified topic based upon input provided, at least in part, by an event creator. The input can identify initial event content, a plurality of event attendees, a location for the event, and an event presenter. The event management system can receive a selection of a desired audience for the event. The event management system can accept the initial event content to be presented during the event and can determine a time for the event. The event management system can perform engagement sampling during the event. The event management system can utilize the selection, the time, and the engagement sampling to optimize the event. The event management system can determine a follow-up action to be performed after the event.

Abstract: Aspects of the subject disclosure may include, for example, facilitating a first wireless communication session by performing a relay function between a first end user device and a network, where the first end user device is outside of a coverage area of the network, where a second end user device of the first wireless communication session is within the coverage area of the network, and where the first wireless communication session is while the processing system has a connection with the network; and facilitating a second wireless communication session by performing a local IP Multimedia core network Subsystem (IMS) server function between the first end user device and a third end user device, where the first and third end user devices are outside of the coverage area of the network, and where the second wireless communication session is while the processing system does not have a connection with the network. Other embodiments are disclosed.

Abstract: Facilitating a group hybrid automatic repeat request procedure for sidelink group-case in advanced networks (e.g., 4G, 5G, 6G, and beyond) is provided herein. Operations of a method can comprise determining, by a first device comprising a processor, that first information received via a sidelink control channel is successfully decoded and that second information received via a sidelink shared channel is not successfully decoded. The first information and the second information can be received from a second device. Further, the method can comprise transmitting, by the first device, negative acknowledgement data based on a group hybrid automatic repeat request feedback procedure. The method also can comprise receiving, by the first device, retransmission of the second information via the sidelink shared channel from a group of devices in response to the negative acknowledgement data.

Abstract: Architectures and techniques are presented that can more efficiently update derived data products in response to updated source data. Source data is typically stored in source tables, whereas a materialized view of a query can generate a derived table based on the state of the source tables at the time the query is executed. When source data changes (e.g., in response to late-arriving input data), rather than recomputing the entire derived table (e.g., by again executing the original query, which can be expensive), an invertible relationship between timestamps can be leveraged to identify only those portions of the derived table that are affected by the update. Therefore, a new defining query can be generated to update only those portions of the derived table that are affected by the source data update.

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 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 the subject disclosure may include, for example, monitoring status of a network configured to provide end-to-end delivery of services to priority user equipment authorized according to a prioritized class of service and other user equipment not authorized for the prioritized class of service. The prioritized class of service extends a reserved network capacity for end-to-end delivery of a service via first domain including first network slices and a second domain including second network slices. A network interruption compromising the reserved capacity is determined based on the monitored status and integration of an alternate group of slices into one of the first network domain, the second network domain, or both to replace the compromised group of slices, is orchestrated. Integration of the alternate group of slices restores reserved network capacity according to the prioritized class of service. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, identifying a communication device communicatively coupled to a serving base station, requesting a device type associated with the communication device from the serving base station, and determining the communication device comprises an unmanned aerial vehicle based on the device type. Further embodiments can include generating a customized radio resource control (RRC) reconfiguration message based on the communication device comprising the unmanned aerial vehicle, and transmitting the customized RRC reconfiguration message to the communication device via the serving base station. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, identifying a communication device communicatively coupled to a serving base station, requesting a device type associated with the communication device from the serving base station, and determining the communication device comprises an unmanned aerial vehicle based on the device type. Further embodiments can include obtaining a geolocation of the communication device based on the communication device comprising the unmanned aerial vehicle, generating a customized radio resource control (RRC) reconfiguration message, which includes a reportCGI object that involves setting a discontinuous sleep state timer, which stops the data transmission and reception of the communication device with the serving base station. During this discontinuous sleep state timer, the communication device disconnects to its serving base station to read and decode the ECGI of base station associated with neighboring cells. Other embodiments are disclosed.

Abstract: Concepts and technologies disclosed herein are directed to embedding texts to high dimensional vectors in natural language processing (“NLP”). According to one aspect, an NLP system can receive an input text that includes n number of words. The NLP system can encode the input text into a first matrix using a word embedding algorithm, such as Word2Vec algorithm. The NLP system can encode the input text into the Word2Vec by embedding each word in the n number of words of the input text into a k-dimensional Word2Vec vector using the Word2Vec algorithm. The NLP system also can decode the first matrix into a second matrix using a text embedding algorithm. In some embodiments, the second matrix is a congruence derivative matrix. The NLP system can then output the second matrix to a machine learning module that implements a machine learning technique such as short text classification.

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: The described technology is generally directed towards user equipment geolocation. Network measurement data associated with user equipment can be separated into static periods in which the user equipment was not moving, and moving periods in which the user equipment was moving. Static location processing can be applied to determine static locations from the static period network measurements, and moving location processing can be applied to determine moving locations from the moving period network measurements. Resulting static location information and moving location information can then be merged in order to improve the accuracy of both the static and the moving location information. The enhanced accuracy location information can be stored and used for any desired application.

Abstract: Aspects of the subject disclosure may include, for example, generating a set of SRLGs associated with a set of link bundles, wherein the set of SRLGs comprises for each SRLG in the set of SRLGs an indication for each failed link bundle in a particular SRLG a respective bandwidth failure fraction, and wherein for at least one of the failed link bundles the failure is less than a complete failure; generating a set of dominance relationships among the SRLGs in the set of SRLGs, and generating, based at least in part upon the set of SRLGs and the set of dominance relationships a packed set of SRLGs, wherein the packed set of SRLGs comprises a subset of the set of SRLGs. Other embodiments are disclosed.

Abstract: Methods, systems, and apparatuses may provide for the auto-determination of partial usage of a physical environment and use derived intelligence to take various actions. This may allow for partial resulting maintenance of the physical environment based on a single use or use over time.

Abstract: Aspects of the subject disclosure may include, for example, specification of network service functions (e.g., a firewall or network address translation appliance) to be included in a service function path. Routers in a communication network may publish information regarding reachable network service functions and an API may be exposed that provides the information regarding the reachable network service functions. Other embodiments are disclosed.

Abstract: The described technology is generally directed towards user equipment geolocation. Network measurement data associated with user equipment can be separated into static periods in which the user equipment was not moving, and moving periods in which the user equipment was moving. Static location processing can be applied to determine static locations from the static period network measurements, and moving location processing can be applied to determine moving locations from the moving period network measurements. Resulting static location information and moving location information can then be merged in order to improve the accuracy of both the static and the moving location information. The enhanced accuracy location information can be stored and used for any desired application.

Abstract: Aspects of the subject disclosure may include, for example, monitoring a network to identify a first amount of traffic in the network, determining, in accordance with the monitoring, that the first amount of traffic in the network exceeds a threshold, and modifying a priority class for a first communication device responsive to the determining that the first amount of traffic in the network exceeds the threshold, wherein the priority class controls access by the first communication device to a resource of the network. Other embodiments are disclosed.

Abstract: A processing system may apply a binary classifier to detect whether a first data pattern of a first data source associated with a communication network performance indicator is consistent with prior data patterns of the first data source that are labeled as correct data patterns, determine, via the binary classifier, that the first data pattern is not consistent, apply a clustering model to a first input data set comprising the first data pattern and invalid data patterns of the first data source to obtain a first plurality of clusters, verify that the first data pattern is an invalid data pattern when the first plurality of clusters is the same as a second plurality of clusters generated by applying the clustering model to a second input data set comprising the invalid data patterns, and replace the first data source with a replacement data source as an active data source in response.

Abstract: Aspects of the subject disclosure may include systems, apparatuses, methods, and computer-readable media for facilitating operations. The operations may include transmitting a first electromagnetic wave, where the first electromagnetic wave is guided by and propagates along a first transmission medium without requiring an electrical return path, and transmitting a second electromagnetic wave, where the second electromagnetic wave is guided by and propagates along a second transmission medium without requiring the electrical return path, the second transmission medium being different from the first transmission medium. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining information regarding a metaverse object and data regarding network resources, deriving a mapping between the metaverse object and one or more of the network resources based on the information and the data, and providing a hybrid service design and orchestration (H-SDO) system with access to the mapping to facilitate selection of particular network resources for supporting one or more metaverse service requests relating to the metaverse object. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system creates a network element by consolidating a control plane including a combination of a plurality of 5G control plane functions and a plurality of IMS control plane functions with an associated user plane including a combination of a 5G user plane function (UPF) and one or more IMS user plane functions. The method also includes deploying the network element at a network edge of the service provider network, receiving a request from a user endpoint (UE) device for a network service, and attaching the UE to the network element. The network element is configured to facilitate providing the requested network service. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a network system, comprising a plurality of access networks including access network resources, a plurality of transport networks including transport network resources, a plurality of core networks including core network resources, and a hybrid software-defined network (H-SDN), wherein the access network resources, the transport network resources, and the core network resources are abstracted into respective universal resource ports, resulting in a plurality of universal resource ports, and wherein the H-SDN leverages metaverse resources and select universal resource ports of the plurality of universal resource ports to facilitate end-to-end metaverse service delivery. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first positional information comprising a location of a non-stationary entity mobile within an environment, the first positional information obtained from a service provider monitoring a positional status of the non-stationary entity within the environment. A path of the non-stationary entity is predicted according to the first positional information. A delivery device mobile within the environment is directed according to the predicted path to deliver an item to the non-stationary entity. Second positional information is obtained, identifying a location of the delivery device within the environment. A separation distance is calculated between the location of the non-stationary entity and the location of the delivery device within the environment and a delivery opportunity is detected based upon the separation distance not exceeding a threshold distance. Other embodiments are disclosed.

Abstract: A method performed by a processing system including at least one processor includes monitoring a software repository for code changes, detecting a code change in a software instance that is stored in the software repository, generating a container image of the software instance in response to the detecting, creating a container for the container image, wherein the container encapsulates software needed to run a test suite on the software instance, configuring a testing platform for a development environment used to create the software instance, executing the test suite for the software instance by running the software encapsulated in the container on the testing platform, and publishing a test output of the test suite as a human-readable scorecard for the software instance.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first group of Internet Protocol (IP) addresses from a group of network devices, and determining a second group of IP addresses from the first group of IP addresses includes possible malicious IP addresses utilizing a machine learning application. Further embodiments can include obtaining a first group of attributes of malicious IP addresses from a first repository, and determining a third group of IP addresses from the second group of IP addresses includes possible malicious IP addresses based on the first group of attributes. Additional embodiments can include receiving user-generated input indicating a fourth group of IP addresses from the third group of IP addresses includes possible malicious IP addresses, and transmitting a notification to a group of communication devices indicating that the fourth group of IP address includes possible malicious IP addresses. Other embodiments are disclosed.

Abstract: Embodiments of the disclosure may include identifying, by a processing system including a processor, a type of a communication service being provided to a communication device, wherein the communication service is facilitated via a first signal that is transmitted to the communication device, the first signal having a first frequency, determining, by the processing system, a degree of a mobility of the communication device relative to a communication range of a first frequency band, the first frequency included in the first frequency band, and causing, by the processing system and based on the type of the communication service and the degree of the mobility of the communication device, a second signal to be transmitted to the communication device as part of the communication service, wherein the second signal has a second frequency included in a second frequency band that is different from the first frequency band. Other embodiments are disclosed.

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.