Abstract: Aspects of the subject disclosure may include, for example, obtaining a dataset, the dataset including first data pertaining to geographical information associated with a plurality of entities, separating the dataset into a plurality of subsets, wherein each subset of the plurality of subsets corresponds to at least one attribute of a plurality of different attributes, ordering the plurality of subsets in accordance with respective parameter values associated with each of the subsets, wherein each of the respective parameter values corresponds to a supported distance relative to a hub, and based on the ordering, generating an estimate of a location of the hub. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device comprising: a processing system; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising: receiving first user input indicative of a first set of data that will be requested from a first network function; receiving second user input indicative of a second set of data that will be requested from a second network function; responsive to the receiving of the first user input, sending a first request message via a standardized protocol to the first network function; responsive to the receiving of the second user input, sending a second request message via the standardized protocol to the second network function; receiving from the first network function the first set of data; and receiving from the second network function the second set of data. Other embodiments are disclosed.

Abstract: Concepts and technologies directed to surrogate metadata aggregation for dynamic content assembly are disclosed. Embodiments can include a system that comprises a processor and a memory that stores computer-executable instructions that configure a processor to perform operations. The operations can include obtaining a first visual content from a digital data store, where the first visual content is configured to digitally represent a first scene. The operations can include performing image recognition on the first visual content so as to identify a second visual content that is digitally configured to represent a second scene. The operations can include determining that native original metadata cannot be obtained for the first visual content, where the native original metadata includes information about the first scene digitally represented by the first visual content.

Abstract: Aspects of the subject disclosure may include, for example, registering a mobile device with a mobile communication network as a roaming network, the roaming network communicating with a home network associated with the mobile device to complete the registering, initiating access to a service on the roaming network, retrieving information about access permission status of the service for the mobile device on the roaming network; responsive to the information about access permission status of the service having a value that corresponds to denial of the service on the roaming network because the service is not approved for operation on the roaming network, providing an indication to a user of the mobile device that the service is not available, and suspending further access to the service on the roaming network. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first value for a first timing advance (TA) parameter associated with a first device, obtaining a second value for a second TA parameter associated with a second device, wherein an identification of the second device is included in a list of equipment that is related to the first device, obtaining a third value for a third TA parameter associated with a third device, wherein an identification of the third device is not included in the list, comparing the first value, the second value, and the third value to one another to determine that the identification of the third device should be added to the list, and adding, based on the comparing, the identification of the third device to the list, resulting in a modified list. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining instructions for implementing a quantum algorithm adapted to obtain a computational result according to a quantum mechanical process. A sequence of quantum operations is generated according to the instructions for implementing the quantum algorithm, wherein the sequence of quantum operations is adapted to physically manipulate a plurality of quantum bits according to the quantum mechanical process. The sequence of quantum operations is provided to a geographically separated quantum central module, via a communication channel, the geographically separated quantum central module implements the quantum mechanical process to obtain a computational result. The computational result is received from the geographically separated quantum central module via the communication channel. 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 a query for 5G Session Management Functions (SMFs) to handle a connection request, wherein the query includes a slice ID and data network name; determining a list of SMFs that each have a blockchain ID immutably recorded on a blockchain, wherein the blockchain ID is authorized to provide service to the slice ID; and sending, responsive to the query, the list of SMFs. Other embodiments are disclosed.

Abstract: An example method includes receiving a domain name server (DNS) query initiated by an endpoint device, determining a current port assignment for the endpoint device, changing an allocation of ports for the endpoint device from the current port assignment based on a predicted port allocation need for a current communication session associated with the domain name server query, and performing a network address translation in accordance with the allocation of ports for the endpoint device.

Abstract: Improved optical network security (e.g., using a computerized tool) is enabled. Various embodiments herein can send (e.g., via a network) to a group of network devices comprising a first network device and a second network device, a first encrypted data stream, a second encrypted data stream, a first hash code, and a second hash code, wherein the first network device deletes the second encrypted data stream after the first network device hashes the second encrypted data stream, and in response to the second network device being determined not to have received the second hash code within a defined threshold time, determine that the first network device is unauthorized to use the network.

Abstract: Various embodiments disclosed herein provide for facilitating creating a mesh connectivity between network nodes in a hierarchical network. According an embodiment, a method comprising receiving a first condition, wherein the first condition indicates whether to setup a mesh connection with a first distributed unit node of a first node device. The method further comprising, in response to determining that the first condition indicates establishment of the mesh connection, facilitating establishing a peer-to-peer connection directly with the first distributed unit node of the first node device and a second distributed unit node of a second node device, wherein the first distributed unit node comprises wireless communication technologies and the second distributed unit node comprises wireless communication technologies.

Abstract: Aspects of the subject disclosure may include, for example, predicting dense wavelength division multiplexing (DWDM) path outage prediction and recommendation of alternate communication paths. Parameterized DWDM signals are launched, and resulting network characteristics are determined. The parameters and characteristics are used to train one or more machine learning models subsequently used to predict outages and recommend alternate paths. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining a requirement of a network-accessible service requested by a user, and determining a network policy according to the service. An infrastructure of a network domain is organized according to the requirement and the policy to provide the service. A distributed controller operating within the network domain configures time-insensitive and time sensitive network domain functions according to the network policy. The time-insensitive functions are obtained from the distributed controller and applied in a manner that selects an access domain type of a number of different types. The selection is made according to an application of the time-insensitive and time sensitive network domain functions. Network performance data is monitored, and the infrastructure is reconfigured responsive to the application the functions, to obtain a reconfigured network infrastructure based on the network performance data, to ensure compliance with the network policy.

Abstract: Aspects of the subject disclosure may include, for example, a system, comprising a multiple transmission and reception point (mTRP) configuration including multiple TRPs that provide coherent joint transmission (CJT), wherein the mTRP configuration is arranged to span or provide coverage for a particular sector, and wherein the multiple TRPs are positioned in respective orientations that are directed away from one another. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, network deployment or radio-propagation computation based on a combination of photon mapping and machine learning including supporting near-real-time computation of the radio transmissions for different layouts of antennas and allowing examination of a large variety of antenna locations and layouts, changing configuration details, e.g., tilting antennas or optimally selecting the sector that each antenna covers, and so on. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving first data at a first rate via a first network connection and receiving second data at a second rate via a second network connection that is different from the first network connection based on the first rate being less than a threshold. Other embodiments are disclosed.

Abstract: Communications services are provided to a device. For instance, where a communications resource is being used by a device via a first communications service provider (CSP) component associated with a first CSP, based on a probabilistic analysis of loading parameters received from a device at the first CSP component. A likelihood that the device will move can be predicted, comprising determining the likelihood is not less than a threshold likelihood. If likely to move, and based on the loading parameters, a loading profile associated with a user of the device is updated resulting in updated likelihoods of usages of the communication resource by the device via respective other CSP components other than the first CSP component. Further, based on the updated likelihoods of usages of the communication resource, at least part of the communications resource can be allocated to the respective other CSP components to facilitate communications with the device.

Abstract: A method for detecting threat pathways using sequence graphs includes constructing a sequence graph from a set of data containing information about activities in a telecommunications service provider network, where the sequence graph represents a subset of the activities that occurs as a sequence, providing an embedding of the sequence graph as input to a machine learning model, wherein the machine learning model has been trained to detect when an input embedding of a sequence graph is likely to indicate a threat activity, determining, based on an output of the machine learning model, whether the subset of the activities is indicative of the threat activity, and initiating a remedial action to mitigate the threat activity.

Abstract: Quantum satellite-based global networks are provided. A system as provided herein includes a processor and a memory that stores first executable instructions that, when executed by the processor, facilitate performance of operations, the operations comprising receiving qubits from a quantum sensor device via a quantum communication channel established between the system and the quantum sensor device; providing quantum input data, derived from the qubits, to a quantum machine learning model; and adjusting a property of a communication network based on an output of the quantum machine learning model, produced in response to the providing of the quantum input data, resulting in an increased performance of a mobile application utilizing resources enabled via the communication network.

Abstract: Aspects of the subject disclosure may include, for example, performing dynamic beam selection and coordination to support space division multiplexing (SDM) and Full Duplex operation for integrated access and backhaul (IAB) in 5G new radio (NR) networks. The subject disclosure further describes how an IAB node and a serving parent node can coordinate beams used for access and backhaul links dynamically with over-the-air signaling. Other embodiments are described in the subject disclosure.

Abstract: A method and apparatus for creating a custom service in a communication network are disclosed. For example, the method implemented via a processor determines that the custom service does not exist, receives one or more desired functions for the custom service, creates the custom service having the one or more desired functions and modifies one or more network elements within the communication network to perform the one or more desired functions to deploy the custom service.