Abstract: Aspects of the subject disclosure may include, for example: determining whether a Subscriber Identify Module (SIM) profile that supports communication via Citizen Band Radio Spectrum (CBRS) is present on a device, resulting in a determination; responsive to the determination being that the SIM profile that supports the communication via the CBRS is present on the device, providing to a user via an interface an element that permits the user to select enabling of communication via the CBRS, disabling of communication via the CBRS, or any combination thereof; receiving from the interface a selection by the user, wherein the selection indicates either an instruction by the user to enable the communication via the CBRS, or an instruction by the user to disable the communication via the CBRS; and responsive to the selection: enabling the communication via the CBRS in a first case that the selection indicates the instruction by the user to enable the communication via the CBRS; or disabling the communication via the

Abstract: Technologies described herein are generally directed to facilitating the allocation, scheduling, and management of network slice resources. According some embodiments, a system can facilitate performance of operations. The operations can include facilitating receiving information regarding a characteristic of a potential connection, by a user device, to respective network devices of a group of provider networks. The operations can further include facilitating selecting an identifier resource from a group of identifier resources, the group comprising the identifier resources available to the user device for a connection to a corresponding network device of a provider network from the respective network devices of the group of provider networks, resulting in a selected identifier resource. Further, the operations can include communicating the selected identifier resource to the user device for use by the user device to establish the connection to the corresponding network device.

Abstract: Aspects of the subject disclosure may include, for example, providing, by a global node, a model to a group of nodes of a network, the model being associated with determining a configuration of the network for qubits; receiving, by the global node from one or more nodes of the group of nodes, updated model parameters, wherein the updated model parameters are generated by each of the one or more nodes via training of a local model utilizing the model and local data accessible to the particular node of the one or more nodes resulting in local nodes; generating, by the global node, an updated model based on the updated model parameters, the updated model being associated with determining the configuration of the network for the qubits; and providing, by the global node, the updated model to the group of nodes of the network, wherein the updated model facilitates managing distribution and usage of entangled qubit storage in devices of the network as reserve hybrid quantum-classical network capacity for bandwidth

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

Abstract: Concepts and technologies are disclosed herein for seamless personal hotspot connectivity via personal hotspot tokens. According to one aspect disclosed herein, a personal hotspot-enabled device can include a processor and a memory. The memory can store instructions of an operating system and a personal hotspot application. The personal hotspot-enabled device can receive a personal hotspot token. The personal hotspot application can recognize, via a short-range communication component, a device identification associated with a peripheral device operating in proximity to the personal hotspot-enabled device. The personal hotspot application can request the personal hotspot token from the operating system. The personal hotspot application can inform the operating system of the device identification. The personal hotspot application can then receive the personal hotspot token associated with the device identification. The operating system can create a personal hotspot.

Abstract: Aspects of the subject disclosure may include, for example, a mobile device that includes a home public land mobile network (HPLMN) identifier and a private home public land mobile network (PHPLMN) identifier. The mobile device prioritizes attaching to a radio access network (RAN) of the PHPLMN. The PHLMN and PHPLMN identifiers may be provided as part of an over-the-air (OTA) update. Other embodiments are disclosed.

Abstract: Cellular connections can be used to provision non-cellular devices such as internet-of-things (IoT) devices. For example, IoT devices can comprise Bluetooth, Wi-Fi, and cellular capabilities. However, the cellular capability can be used to provision the IoT devices using non-internet protocol data delivery to prevent security vulnerabilities. Data can be transmitted to the IoT device using core elements without using an IP stack. Thus, IoT device configurations and the keys can be provisioned over-the-air without the use of internet protocol data.

Abstract: The technologies described herein are generally directed to configuring carrier aggregation zones based on transmission information in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include identifying, by carrier aggregation equipment including a processor, carrier transmission information corresponding to a first carrier signal and a second carrier signal. The method can further include analyzing, by the carrier aggregation equipment, the carrier transmission information to determine first overlap zone information representative of a first carrier overlap zone for the first carrier signal and the second carrier signal. Further, based on the first overlap zone information, the method includes facilitating configuring transmission parameter information representative of a transmission parameter applicable to transmission of the first carrier signal, to enable carrier aggregation by network equipment within the first carrier overlap zone.

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: Aspects of the subject disclosure may include, for example, identifying a set of network functions operative on a core network of a mobile communications system instantiated on a cloud network, identifying functional dependencies among respective network functions of the set of network functions, defining a sequence by which the set of network functions should be made unavailable prior to a maintenance event, wherein the defining the sequence is based on the functional dependencies, and deactivating respective network functions of the set of network functions according to the sequence. 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 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: 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, 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: 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 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, 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: 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 smart contract for tracking a position of a mobile device from a quantum blockchain; issuing a token uniquely identifying location data for the position of the mobile device; receiving location data including the token from the mobile device, wherein the position of the mobile device is determined by displacement from an initial position using a quantum accelerometer; verifying the location data using the token; and storing the location data in the quantum blockchain. Other embodiments are disclosed.

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