Abstract: Aspects of the subject disclosure may include, for example, identifying a communication session of a communication device communicatively coupled to a first base station in a mobile network, determining a data rate associated with the communication session; initiating carrier aggregation for the communication session, determining frequency bands for the carrier aggregation, and determining rules for carrier aggregation. Further embodiments include determining a first frequency band from the group of frequency bands and a second frequency band from the group of frequency bands utilizing the AI software application, assigning a first data flow of the communication session to the first frequency band and a second data flow of the communication session to the second frequency band, and providing the first data flow to the first base station and providing the second data flow to a second base station.

Abstract: Aspects of the subject disclosure may include, for example, a device with a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitates performance of operations, including: automatically detecting an intrusion of a secure communication channel that provides communication services to a node in a network; implementing a generative artificial intelligence that finds an alternative secure communication channel; and migrating the communication services to the alternative secure communication channel responsive to finding the alternative secure communication channel. Other embodiments are disclosed.

Abstract: Concepts and technologies disclosed herein are directed to generating medical network functions that provide functionality tailored for handling medical devices and medical-related traffic from user devices that is beyond that provided by network functions of a next generation (“5G”) core network. Functionalities of a plurality of network functions of a 5G core network can be determined. The functionalities of the plurality of network functions can be duplicated to generate replicated network functions. Each of the replicated network functions can be integrated with a corresponding medical function to generate a plurality of medical network functions. The plurality of medical network functions can be deployed to the 5G core network.

Abstract: A processing system including at least one processor deployed in a non-terrestrial network node may identify a plurality of available baseband units of a cellular network and may select a first baseband unit from among the plurality of available baseband units via a machine learning model implemented by the processing system. The processing system may then establish a fronthaul connection between the non-terrestrial network node and the first baseband unit, where the fronthaul connection is via a first wireless link between the non-terrestrial network node and the first baseband unit. The processing system may further forward data traffic for at least one endpoint device via the fronthaul connection and via at least a second wireless link between the non-terrestrial network node and the at least one endpoint device.

Abstract: An example method for distributed radio resource orchestration for network slicing includes detecting, from within a radio access network of a communication service provider network, a need of a user endpoint device to access an improved quality of service, defining, in response to the detecting and in coordination with at least one other processing system in the radio access network, a set of radio resources to support the improved quality of service for the user endpoint device, configuring the set of radio resources as a slice of the communication service provider network, and sending an instruction to the user endpoint device that causes the user endpoint device to connect to the slice.

Abstract: Aspects of the subject disclosure may include, for example, obtaining sensor data relating to a body part of a user, determining one or more adjustments to a shape or a structure of the device based on the sensor data, resulting in one or more determined adjustments, and causing the one or more determined adjustments to be made to the shape or the structure of the device, thereby providing for dynamic reconfiguration of the device for facilitating user treatment. Other embodiments are disclosed.

Abstract: A processing system including a processor may obtain, from a communication network, a network slicing token, the network slicing token comprising a configuration code to cause the processing system to perform a data traffic monitoring function, the data traffic monitoring function including collecting one or more performance indicators associated with data traffic communications via a network slice and transmitting the one or more performance indicators to the communication network. The processing system may next commence data traffic communications with a counterparty communication system via the network slice of the communication network in accordance with the network slicing token.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first parametric information, analyzing, based on the obtaining of the first parametric information, the first parametric information to identify a first plurality of resources associated with a terrestrial network (TN) and at least a second resource associated with a non-terrestrial network (NTN) for supporting a communication service, arranging, based on the analyzing of the first parametric information, at least a first portion of the first plurality of resources as a first combined cell, and scheduling first communications between the first combined cell and the at least a second resource to facilitate the communication service. Other embodiments are disclosed.

Abstract: A processing system including at least one processor may perform a forecast of data traffic of a cellular network and detect a need for an inter-operator carrier aggregation service in a future time period based on the forecast. The processing system may then select a first carrier component from at least one non-cellular network, wherein the at least one non-cellular network is distinct from the cellular network and instantiate the inter-operator carrier aggregation service in the cellular network for an endpoint device, wherein the inter-operator carrier aggregation service implements a carrier aggregation process utilizing the first carrier component from the at least one non-cellular network and a second carrier component from the cellar network to provide data transmission to the endpoint device.

Abstract: Aspects of the subject disclosure may include, for example, instantiating, on a communications system, a first master digital proxy associated with a first user; identifying a first plurality of digital proxies, other than the first master digital proxy, that are on the communications system and that are associated with the first user; responsive to the identifying, configuring the first master digital proxy for bi-directional communications with each of the first plurality of digital proxies; determining movement of the first user, wherein the determining the movement of the first user comprises determining that a first user device being used by the first user has moved to communicating with a current network node of the communications system; and responsive to the determining the movement of the first user, moving at least part of the first master digital proxy to the current network node of the communications system. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first, second, and third data respectively from first, second, and third physical robots operating in a smart community, obtaining a request message from the third physical robot, the request message comprising a request by the third physical robot to be stored at a location; and responsive to obtaining the request message: determining whether the first physical robot incudes a first storage space sufficiently large to contain the third physical robot; determining whether the second physical robot incudes a second storage space sufficiently large to contain the third physical robot; in a first case that the first physical robot does include a first storage space sufficiently large to contain the third physical robot and that the second physical robot does not include a second storage space sufficiently large to contain the third physical robot, selecting as a selected physical robot the first physical robot; in a second case that the first

Abstract: Aspects of the subject disclosure may include, for example, obtaining first data, wherein the first data includes an indication of a first signal strength associated with a first base station and a second signal strength associated with a second base station, and wherein the first data includes an indication of a first load accommodated by the first base station and a second load accommodated by the second base station, analyzing at least the first data to select one of the first base station, the second base state, or a third base station for providing a communication service to a communication device, resulting in a first selected base station, and allocating a resource of the first selected base station to provide the communication service to the communication device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first microservice information and second microservice information, obtaining first network key performance indicators (KPIs) and second network KPIs. Further embodiments can include monitoring a first object associated with the first microservice, monitoring a second object associated with the second microservice, modeling the first object based on a first group of factors and the first network KPIs, and modeling the second object based on a second group of factors and the second network KPIs. Additional embodiments can include, based on the monitoring the first object and the second object, and modeling the first object and the second object, generating a third microservice that is associated with both the wireline network and the wireless network, the third microservice comprises a third object associated with the first object and the second object associated with the wireless network. Other embodiments are disclosed.

Abstract: A method performed by one or more network node(s) of a wireless telecommunications network to dynamically manage encryption keys for multiple narrowband Internet of Things (NB-IoT) devices of the network. The network node(s) can maintain a database that stores a device profile for each of the NB-IoT devices and obtain multiple encryption keys for the multiple NB-IoT devices. The encryption keys are associated with different encryption strengths ranging from high to ultra-low encryption strengths. The network node(s) can allocate the encryption keys to the NB-IoT devices, detect a change in the condition of the network, capability or communications service of NB-IoT devices, and refresh the encryption keys accordingly to ensure that the network nodes properly balance encryption while providing efficient network performance.

Abstract: Aspects of the subject disclosure may include, for example, predicting an amount of demand for a communication service, based on the predicting, determining that a communication bandwidth available via a first base station of a first network is unable to satisfy the amount of demand, based on the determining, scheduling a first satellite of a constellation of satellites to provide at least a portion of the communication service, resulting in a schedule, and providing the at least a portion of the communication service in accordance with the schedule. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving a user selection relating to a course, transmitting a request to a controller in a vehicle for information regarding capabilities of available devices onboard the vehicle, wherein the available devices include uncrewed aerial vehicles (UAVs), based on the transmitting, obtaining, from the controller, the information regarding the capabilities, responsive to the obtaining, sending a command to the controller to facilitate deployment of one or more of the UAVs to collect data for the course, and after the sending, receiving the data from the controller and incorporating the data into the course for delivery to one or more users onboard the vehicle. Other embodiments are disclosed.

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

Abstract: A processing system including at least one processor deployed in a wireless network may track a plurality of characteristics associated with a plurality of endpoint devices in a coverage area of the wireless network, where the plurality of characteristics includes endpoint device trajectories for the plurality of endpoint devices. The processing system may next detect a correspondence of the plurality of characteristics associated with the plurality of endpoint devices, where the detecting of the correspondence of the plurality of characteristics is based upon at least the endpoint device trajectories. In addition, processing system may assign the plurality of endpoint devices to a multi-user group based upon the detecting of the correspondence of the plurality of characteristics associated with the plurality of endpoint devices.

Abstract: Aspects of the subject disclosure may include, for example, maintaining an object modeling component configured to store objects and multi-dimensional properties associated with each of the objects, maintaining an object monitoring component configured to monitor deployed objects and provide the monitoring of the deployed objects to the object modeling component, receiving a static input and dynamic input, in response to the static input, the dynamic input, or both, generating, using an automated generative artificial intelligence (Auto-Gen-AI) model, a new object or a determination to modify one or more of the deployed objects by accessing the object modeling component and by receiving the monitoring of the deployed objects, and providing a microservice for modeling, generating, and modifying the objects with the Auto-Gen-AI model. Other embodiments are disclosed.

Abstract: A processor of a network device may receive an authentication request from a first authentication application installed on a mobile data relay device, wherein the authentication request includes a key, may determine that the mobile data relay device is in a predicted location calculated by a second authentication application installed on the network device, may determine that the key is a valid key that was distributed by a first authentication server, and may establish a communication channel with the mobile data relay device when the mobile data relay device is authenticated based on the key being determined to be the valid key and a current location of the mobile data relay device being in the predicted location.