Abstract: A method for handling an event of a real environment in a virtual reality (VR) environment, includes: identifying an object, a user, and an event occurring in the real environment around a primary user wearing a VR module implemented by at least one hardware processor; determining a first set of parameters of the identified object and the user, and a second set of parameters of the event and an actor in the event, wherein the actor performs the event and is the user; analyzing the VR environment to determine a suitable part in the VR environment; creating an augmented reality (AR) of the actor; scaling, based on the first set of parameters and the second set of parameters, the AR; aligning the AR in relation to the real environment; and merging the aligned AR into the suitable part of the VR environment while maintaining a context of the VR environment.

Abstract: Described herein are apparatuses, systems, and methods associated with a voltage regulator circuit that includes one or more thin-film transistors (TFTs). The TFTs may be formed in the back-end of an integrated circuit. Additionally, the TFTs may include one or more unique features, such as a channel layer treated with a gas or plasma, and/or a gate oxide layer that is thicker than in prior TFTs. The one or more TFTs of the voltage regulator circuit may improve the operation of the voltage regulator circuit and free up front-end substrate area for other devices. Other embodiments may be described and claimed.

Abstract: A system includes a first data center that includes a first computing device communicatively coupled to a first database. The first computing device is configured to determine data stored in the first database to be replicated to a second database communicatively coupled to a second computing device of a remote data center. The first computing device is further configured to determine whether a point-to-point data tunnel has been established across a broadband cellular network between the first computing device and the second computing device and to establish the point-to-point data tunnel across the broadband cellular network between the first computing device and the second computing device when it is determined that the point-to-point data tunnel has not been established. The first computing device is further configured to replicate the data to the second database by transmitting the data to the second computing device across the point-to-point data tunnel.

Abstract: Improved techniques for selecting a handover target cell are described herein, for example in connection with a 5G disaggregated radio network. For example, in addition to evaluating signal quality metrics that are reported by the user equipment subject to the handover, the disclosed techniques can also evaluate additional metrics. For example, a load associated with potential target cells can be considered as neighbor load can cause handover issues. As another example, a history of success rates associated with a handover to the target cell and/or from the serving cell can be considered as well since handover failures can sometimes result due to issues that can be surfaced by the success rate history.

Abstract: Various methods, apparatuses/systems, and media for data migration readiness of a target data source are disclosed. A processor invokes, in response to triggering a process, an application programming interface (API) to call corresponding source application or microservice hosted on a source database; updates, by the source application or microservice, the source database to reflect the changes made to one or more fields data of user profile; generates a mapping identifier (ID) in response to updating the source database; stores the mapping ID onto a mapping database in a predefined format; invokes another API call to obtain source table field details of the updated source database and the mapping ID that maps source column of the source table to a corresponding target column of a target table of a target database; and automatically updates the target database to match the updated data of the source database based on the mapping ID.

Abstract: Described herein are apparatuses, systems, and methods associated with a voltage regulator circuit that includes one or more thin-film transistors (TFTs). The TFTs may be formed in the back-end of an integrated circuit. Additionally, the TFTs may include one or more unique features, such as a channel layer treated with a gas or plasma, and/or a gate oxide layer that is thicker than in prior TFTs. The one or more TFTs of the voltage regulator circuit may improve the operation of the voltage regulator circuit and free up front-end substrate area for other devices. Other embodiments may be described and claimed.

Abstract: Systems, methods, and computer program products for identifying a fraudulent device. A device analytics engine receives device data from a computing device, the device data including parameters associated with the computing device. The device analytics engine selects a set of rules in a plurality of rules that indicate at least one parameter in the plurality of parameters in the device data for determining a device identifier. The set of rules are evaluated in an order until the device identifier is determined from the at least one parameter indicated in the set of rules, the device data, and previously stored data from multiple computing devices. A score is generated for the computing device using one or more of the device identifier, device data, a set of rules, and previously receive device data that corresponds to the device identifier. A computing device is identified as a fraudulent computing device based on the score.

Abstract: During operation, a radio node may provide, at a transmit time during a first time interval, a first instance of a keep-alive message to a computer. Then, the radio node may receive, at a receive time prior to a first instance of a transmit expire time, an instance of a keep-alive response from the computer, where the instance of the keep-alive response authorizes the radio node to transmit in a granted portion of the spectrum until a second instance of the transmit expire time has elapsed. Moreover, the radio node may determine, based at least in part on the receive time and the first instance of the transmit expire time, an updated transmit time. Next, the radio node may provide, at the updated transmit time, which is prior to the second instance of the transmit expire time, a second instance of the keep-alive message addressed to the computer.

Abstract: Generally provided is a system for determining unknown, new and/or changed radio system architecture/topology, including available system connections between nodes, NFs, CU-UPs, DUs and/or CU-CPs. An example system can comprise a processor; and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising determining a request from a user equipment (UE) for network access, and selecting a central unit user plane (CU-UP) to which to assign the UE based on a known aspect of a network topology of a communication network comprising the CU-UP. The system can provide a learned and dynamic approach to network topology analysis, and can allow for determining a CU-UP based on network topology, connection availability, loading, downtime, traffic connections, bandwidth and/or one or more other KPIs.

Abstract: A computer device may include a memory storing instructions and processor configured to execute the instructions to provide a test configuration to a plurality of multi-access edge computing (MEC) devices; collect test results associated with the provided test configuration from the plurality of MEC devices; and obtain capability information associated with particular ones of the plurality of MEC devices. The computer device may be further configured to generate a test report that relates one or more parameters included in the test results and the obtained capability information to particular ones of the plurality of MEC devices; and use the generated test report to select a MEC device from the plurality of MEC devices for a user equipment (UE) device requesting an application session.

Abstract: A device may receive historical network behavior data associated with a network that includes network devices and may receive historical weather data associated with a geographical location of the network. The device may receive historical action data identifying historical actions taken for the network in response to the historical weather data, and may train a correlation model, with the historical network behavior data, the historical weather data, and the historical action data, to generate a trained correlation model. The device may receive a weather event forecast associated with the geographical location, and may process the weather event forecast, with the trained correlation model, to determine an anticipated behavior of the network in response to the weather event forecast. The device may process data identifying the anticipated behavior, with the trained correlation model, to identify actions to take in response to the anticipated behavior and may perform the actions.

Abstract: During operation, the radio node may identify a second portion of a shared-license-access (SLA) band of frequencies with an improved communication-performance metric relative to a first portion of the SLA band of frequencies, which is currently approved and authorized for use. In response, the radio may provide a grant request to the computer for the second portion of the SLA band of frequencies, and may receive a grant response from the computer with an approval for a grant to the second portion of the SLA band of frequencies. Then, the radio node may provide a heartbeat request to the computer requesting authorization to use the second portion of the SLA band of frequencies, and may receive a heartbeat response from the computer with the authorization. Next, the radio node may provide a relinquishment request to the computer for the first portion of the SLA band of frequencies.

Abstract: A system described herein may monitor, via a Central Unit (“CU”) of a radio access network (“RAN”), radio frequency (“RF”) metrics associated with a User Equipment (“UE”). The monitored RF metrics may be based on communications between the UE and a Distributed Unit (“DU”) that is communicatively coupled to the CU. The system may identify a Multi-Access/Mobile Edge Computing (“MEC”) device that is communicatively coupled to the DU and that provides one or more services to the UE via the DU. The system may resource allocation parameters for the MEC based on the RF metrics between the UE and the DU. The system may instruct the MEC to implement the set of resource allocation parameters. The MEC may modify an allocation of MEC resources, allocated for providing the one or more services to the UE, based on the determined set of resource allocation parameters.

Abstract: During operation, a radio node may receive location information relating to a location of the radio node. Then, the radio node may provide a grant request to a computer, where the grant request includes a request to reserve a portion of a shared-license-access band of frequencies for use by the radio node based at least in part on the location information. Note that the location information may indicate whether the radio node is included in a geographic region. For example, the geographic region may include locations within a predefined distance from a boundary, such as a coastline. When the location information indicates the radio node is included in the geographic region, the portion of the shared-license-access band of frequencies may be outside of a second portion of the shared-license-access band of frequencies that is selectively used by a government user or a satellite service.

Abstract: During operation, a radio node may provide, at a transmit time during a first time interval, a first instance of a keep-alive message to a computer. Then, the radio node may receive, at a receive time prior to a first instance of a transmit expire time, an instance of a keep-alive response from the computer, where the instance of the keep-alive response authorizes the radio node to transmit in a granted portion of the spectrum until a second instance of the transmit expire time has elapsed. Moreover, the radio node may determine, based at least in part on the receive time and the first instance of the transmit expire time, an updated transmit time. Next, the radio node may provide, at the updated transmit time, which is prior to the second instance of the transmit expire time, a second instance of the keep-alive message addressed to the computer.

Abstract: During operation, a radio node may determine a desired bandwidth in a shared-license-access band of frequencies. Then, the radio node may identify two or more sub-spectra based at least in part on the desired bandwidth, where a sum of ranges of frequencies in the sub-spectra equals the desired bandwidth, and a given sub-spectra includes a range of frequencies. Next, the radio node may provide, to the computer, grant requests for the sub-spectra, where a given grant request includes a request to reserve a given one of the sub-spectra for use by the radio node, and a probability of approval of the given grant request is larger than a probability of a grant request for the desired bandwidth. Note that at least two of the sub-spectra may be separated by an intervening band of frequencies (i.e., at least two of the sub-spectra may be non-contiguous).

Abstract: An exemplary edge compute orchestration system that is communicatively coupled with a set of edge compute nodes in a communication network accesses performance data aggregated by a particular edge compute node of the set. The performance data includes a performance metric and geolocation data detected by a user equipment (UE) device communicatively coupled to the communication network. The edge compute orchestration system integrates the performance data into a geolocation-indexed performance dataset representative of detected performance metrics, indexed by geolocation, for the communication network. Then, based on the geolocation-indexed performance dataset, the edge compute orchestration system selects the particular edge compute node for performance of an edge compute task. Corresponding systems and methods are also disclosed.

Abstract: During operation, a radio node may provide, at a transmit time during a first time interval, a first instance of a keep-alive message to a computer. Then, the radio node may receive, at a receive time prior to a first instance of a transmit expire time, an instance of a keep-alive response from the computer, where the instance of the keep-alive response authorizes the radio node to transmit in a granted portion of the spectrum until a second instance of the transmit expire time has elapsed. Moreover, the radio node may determine, based at least in part on the receive time and the first instance of the transmit expire time, an updated transmit time. Next, the radio node may provide, at the updated transmit time, which is prior to the second instance of the transmit expire time, a second instance of the keep-alive message addressed to the computer.

Abstract: A device obtains previously created data content. The device unmasks and extracts one or more chain of custody blocks stored in association with the data content. The one or more chain of custody blocks includes chain of custody data identifying who, when, where, and, with what hardware and/or software, created or edited the data content. The device analyzes the one or more chain of custody blocks and validates an origination of the data content based on the analysis of the one or more chain of custody blocks.

Abstract: Systems and methods provide a MEC policy optimization service. A network device applies, in a first edge cluster of the application service layer network, a policy for an application service that supports a customer application; receives network performance data related to execution of the application service; identifies, based on the network performance data, an improved policy to optimize the first policy for the customer application in the first edge cluster; and sends a model of the improved policy to a central network device for the application service layer network.