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: creating a quantum digital twinning model for a public safety event; generating a map view of an area of the public safety event, wherein the map view shows images determined by the quantum digital twinning model; providing recommendations for actions to mitigate the public safety event, wherein the recommendations are determined from the quantum digital twinning model; and providing explainability of the recommendations determined. Other embodiments are disclosed.

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: 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: 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, 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, a method of receiving, by a processing system including a quantum processor or a hybrid quantum-classical processor, proposed contract data representative of a proposed contract for access by an application of a user equipment to resources of a network slice usable for the access by the application; based on the proposed contract data, storing, by the processing system, governing contract data representative of a governing contract in a quantum blockchain ledger, wherein storing the governing contract data comprises facilitating an appending of an information block corresponding to the governing contract data to the quantum blockchain ledger, and wherein the governing contract is selected to control the access by the application to the resources of the network slice; detecting, by the processing system, a condition of the access that is not encompassed by the governing contract, resulting in a detected condition; and based on the detected condition,

Abstract: Aspects of the subject disclosure may include, for example, a method of receiving, by a quantum processing system including a hybrid quantum-classical processor, qubits from one or more quantum communication channels by the quantum processor or hybrid quantum-classical processor, wherein each quantum processor or hybrid quantum-classical processor is physically distinct, and wherein the one or more quantum communications channels utilize quantum channel coding and quantum error detection; performing, by the quantum processing system, quantum logic operations on the qubits; and utilizing a plurality of end-to-end quantum and hybrid quantum-classical networked application resources to implement quantum artificial intelligence (QAI) and/or quantum machine learning (QML) services. Other embodiments are disclosed.

Abstract: Measurement procedures are provided for a communication device. For instance, a system that comprises determining a probability value, wherein the probability value indicates a likelihood of a communication device, connected to a first network node device, connecting to a second network node device with attempts below a first threshold. The system can also comprise determining a scanning period interval value based on the probability value, used by the communication device, to adjust a scanning procedure usable for establishment of a connection with the second network node device, and requesting the communication device to utilize the scanning period interval value during the establishment of the connection with the second network node device.

Abstract: Aspects of the subject disclosure may include, for example, identifying a plurality of mobile devices implementing an application, and identifying a group of mobile devices from among the plurality of mobile devices according to a first movement pattern of the group of mobile devices. Further aspects can include identifying a first mobile edge compute (MEC) node at a first location according to a proximity threshold that does not include a MEC agent for the application, and identifying a second MEC node at a second location that includes the MEC agent for the application according to the proximity threshold. Additional aspects can include determining a first network relative performance (NRP) metric associated with a first communications between the group of mobile devices and the second MEC node. The first communications are associated with the application. Other embodiments are disclosed.

Abstract: The technologies described herein are generally directed to facilitating the allocation, scheduling, and management of network slice resources. 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 receiving proposed contract data representative of a proposed contract for access by an application of a user equipment device to resources of a network slice usable for the access by the application. The operations can further include, based on the proposed contract data, storing governing contract data representative of a governing contract in a storage device, with the governing contract being selected to control the access by the application to the resources of the network slice. The operations can further include scheduling use of the resources of the network slice by the application based on the governing contract data.

Abstract: Aspects of the subject disclosure may include, for example, identifying a plurality of mobile devices implementing an application, and identifying a group of mobile devices from among the plurality of mobile devices according to a first movement pattern of the group of mobile devices. Further aspects can include identifying a first mobile edge compute (MEC) node at a first location according to a proximity threshold that does not include a MEC agent for the application, and identifying a second MEC node at a second location that includes the MEC agent for the application according to the proximity threshold. Additional aspects can include determining a first network relative performance (NRP) metric associated with a first communications between the group of mobile devices and the second MEC node. The first communications are associated with the application. Other embodiments are disclosed.

Abstract: The technologies described herein are generally directed to facilitating the allocation, scheduling, and management of network slice resources. 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 receiving proposed contract data representative of a proposed contract for access by an application of a user equipment device to resources of a network slice usable for the access by the application. The operations can further include, based on the proposed contract data, storing governing contract data representative of a governing contract in a storage device, with the governing contract being selected to control the access by the application to the resources of the network slice. The operations can further include scheduling use of the resources of the network slice by the application based on the governing contract data.

Abstract: The technologies described herein are generally directed to facilitating the allocation, scheduling, and management of network slice resources. 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 selecting a resource configuration for a network slice based on characteristics of a user device and historical data related to the user device, resulting in a selected resource configuration. The operations can further include facilitating communicating resource configuration data representative of the selected resource configuration for the network slice to a network device for allocation to the user device connected to the network device. The operations can further include facilitating allocating resources to the network slice in accordance with the selected resource configuration.

Abstract: In multicarrier networks mobile devices can be distributed amongst carriers based on different criteria. However, prioritization may cause certain devices to end up on a carrier that is not optimal for the network. When there is a deployment of different types of cells (e.g., macro cells, small cells, etc.), the cells can use the same frequency. Consequently, a priority value contained within a system information broadcast message can override the mobile default cell transition procedures and thus select a neighboring cell based on additional criteria. Thus, small cells can be deployed to offload traffic from macro cells in spite of the small cells and macro cells operating in the same frequency band.

Abstract: The technologies described herein are generally directed to facilitating the allocation, scheduling, and management of network slice resources. 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 selecting a resource configuration for a network slice based on characteristics of a user device and historical data related to the user device, resulting in a selected resource configuration. The operations can further include facilitating communicating resource configuration data representative of the selected resource configuration for the network slice to a network device for allocation to the user device connected to the network device. The operations can further include facilitating allocating resources to the network slice in accordance with the selected resource configuration.

Abstract: In multicarrier networks mobile devices can be distributed amongst carriers based on different criteria. However, prioritization may cause certain devices to end up on a carrier that is not optimal for the network. When there is a deployment of different types of cells (e.g., macro cells, small cells, etc.), the cells can use the same frequency. Consequently, a priority value contained within a system information broadcast message can override the mobile default cell transition procedures and thus select a neighboring cell based on additional criteria. Thus, small cells can be deployed to offload traffic from macro cells in spite of the small cells and macro cells operating in the same frequency band.

Abstract: In one example, a method and apparatus for optimizing a software defined network configuration are disclosed. In one example, the method determines a first network relative performance parameter for a current configuration of a network, based on respective weighting profiles associated with services for which the network carries data. The method then determines a second network relative performance parameter for a proposed configuration of the network, based on the respective weighting profiles associated with the services for which the network carries data. The proposed configuration is implemented in the network when the second network relative performance parameter is greater than the first network relative performance parameter.

Abstract: Aspects of the subject disclosure may include, for example, identifying a plurality of mobile devices implementing an application, and identifying a group of mobile devices from among the plurality of mobile devices according to a first movement pattern of the group of mobile devices. Further aspects can include identifying a first mobile edge compute (MEC) node at a first location according to a proximity threshold that does not include a MEC agent for the application, and identifying a second MEC node at a second location that includes the MEC agent for the application according to the proximity threshold. Additional aspects can include determining a first network relative performance (NRP) metric associated with a first communications between the group of mobile devices and the second MEC node. The first communications are associated with the application. Other embodiments are disclosed.

Abstract: Beamforming techniques can improve base station transmission power and user equipment (UE) sensitivity reception. For example, beamforming can create a narrow beam, which can concentrate signal power in a much smaller region. Combined with base station (gNB) requests and UE location data, an accurate beam can be generated to cover a desired area. 5G base station broadcasts can utilize a globally unique cell identifier (e.g., physical cell identifier), and a locally unique cell identifier (e.g., new radio cell global identifier) to facilitate beamforming and mitigate handover failure.

Abstract: In multicarrier networks mobile devices can be distributed amongst carriers based on different criteria. However, prioritization may cause certain devices to end up on a carrier that is not optimal for the network. When there is a deployment of different types of cells (e.g., macro cells, small cells, etc.), the cells can use the same frequency. Consequently, a priority value contained within a system information broadcast message can override the mobile default cell transition procedures and thus select a neighboring cell based on additional criteria. Thus, small cells can be deployed to offload traffic from macro cells in spite of the small cells and macro cells operating in the same frequency band.