Abstract: A processing system of an autonomous aerial vehicle including at least one processor may determine informational data to present for at least one person, capture at least a first image via at least one imaging sensor of the autonomous aerial vehicle in a vicinity of the at least one person and determine a first position and a first orientation of the at least one person. The processing system may then identify, based upon the first position and the first orientation of the at least one person, a plurality of candidate projection areas, each candidate projection area comprising a contiguous area within the at least the first image that is deemed to be visible to the at least one person, select one of the plurality of candidate projection areas as a projection zone, and project the informational data on the projection zone via a projector.

Abstract: A framework for dynamic network resource allocation and energy saving based on the real-time environment, radio network information, and machine learning (ML) can be utilized via a radio access network (RAN) intelligent controller (RIC). Real-time and predicted network utilization can facilitate resource and energy savings by leveraging the RIC platform. For example, a network information base (NIB) in the RIC platform can collects RAN and user equipment (UE) resource related information in real time and provides the abstraction of the access network in the real time. ML can predict real-time information about the UEs at time t based on data analytics and real time radio resource needs. The RIC can then instruct the network to reduce or increase resources.

Abstract: A collaborative video camera system of an edge node can be used to track and predict objects, locations of the objects, and events associated therewith. For example, multiple cameras can be utilized to determine the direct in which an object is heading. This data can be used to activate and/or dispatch other cameras that may be at or near the predicted location of the object. Additionally, sound associated with the object can be used to predict and/or active cameras that are at or near the predicted location of the object.

Abstract: Aspects of the subject disclosure may include, for example, transmitting a first identifier associated with a processing system to a communication device, transmitting first data to the communication device, obtaining, from the communication device and based on the transmitting of the first identifier and the first data, a first directive, wherein the first directive directs the processing system to utilize a first radio access technology for a first communication session, and utilizing, based on the first directive, the first radio access technology for the first communication session. Other embodiments are disclosed.

Abstract: A collaborative video camera system of an edge node can be used to track and predict objects, locations of the objects, and events associated therewith. For example, multiple cameras can be utilized to determine the direct in which an object is heading. This data can be used to activate and/or dispatch other cameras that may be at or near the predicted location of the object. Additionally, sound associated with the object can be used to predict and/or active cameras that are at or near the predicted location of the object.

Abstract: A framework for a 6th generation (6G) ubiquitous wireless communications network is provided. A system comprises: a memory that stores executable instructions; and a processor, coupled to the memory, that facilitates execution of the executable instructions to perform operations.

Abstract: A framework for dynamic network resource allocation and energy saving based on the real-time environment, radio network information, and machine learning (ML) can be utilized via a radio access network (RAN) intelligent controller (RIC). Real-time and predicted network utilization can facilitate resource and energy savings by leveraging the RIC platform. For example, a network information base (NIB) in the RIC platform can collects RAN and user equipment (UE) resource related information in real time and provides the abstraction of the access network in the real time. ML can predict real-time information about the UEs at time t based on data analytics and real time radio resource needs. The RIC can then instruct the network to reduce or increase resources.

Abstract: A framework for a 6th generation (6G) ubiquitous wireless communications network is provided. The framework includes obtaining first information associated with a first condition of a terrestrial radio network from a terrestrial controller that collects the first information from the terrestrial radio networks; determining second information associated with a resource of a satellite network, where a defined application is alternatively executable at the mobile device via any of a group of networks, the group comprising the satellite network and the terrestrial radio networks, and determining whether to re-assign the defined application from the terrestrial radio network to the satellite network based on a result of evaluating at least the first condition.

Abstract: Dynamic customization of an autonomous vehicle experience is presented herein. A dynamic recommendation engine can comprise a subscriber interface component, a data component, and a configuration component. The subscriber interface component can receive, from a subscriber of an autonomous vehicle service, a request specifying a route of transport by an autonomous vehicle; and based on the request, the data component can obtain, via a network slice comprising a virtual network function of the autonomous vehicle service, profile information for the subscriber and route information for the route. Further, the configuration component can determine, via the network slice based on the profile information and the route information, configuration data for the autonomous vehicle, and send, via the network slice, the configuration data directed to the autonomous vehicle to facilitate the transport by the autonomous vehicle.

Abstract: Aspects of the subject disclosure may include, for example, transmitting a first identifier associated with a processing system to a communication device, transmitting first data to the communication device, obtaining, from the communication device and based on the transmitting of the first identifier and the first data, a first directive, wherein the first directive directs the processing system to utilize a first radio access technology for a first communication session, and utilizing, based on the first directive, the first radio access technology for the first communication session. Other embodiments are disclosed.

Abstract: A biometrics hub may establish a session with a first biometric device, receive first biometric data of a user from the first biometric device, establish a session with a second biometric device, receive second biometric data of the user from the second biometric device, and store the first biometric data and the second biometric data at the biometrics hub. The biometrics hub may further detect a power event associated with at least one of the first biometric device or the second biometric device, and change, in response to detecting the power event, a schedule for processing at least one of the first biometric data or the second biometric data.

Abstract: Accessibility of media associated with mobile devices can be modified based on specific scenarios. For example, historical data associated with a relationship between users of a first mobile device and s second mobile device can be used to prioritize media displayed on one or more of the mobile devices. The historical data can include locations, dates, times, and/or any other relevant characteristics associated with the relationship. Alternatively, media can be displayed on the first mobile device, which is relevant to a user of a second mobile device, in response to a condition associated with a recognition pattern being determined to have been satisfied.

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: Structured access to volunteered private data disclosed. Access can be based on security and privacy constraint information (SPCI) that can be selected by the party volunteering the private data. The volunteered data can be stored in a protected portion of a public network. The SPCI can be correlated to the volunteered data. In response to receiving a request for access to the volunteered data, an attribute of the request can be determined to satisfy one or more rules related to the SPCI prior to facilitating access to a version of a portion of the volunteered data. The version of the portion of the volunteered data can be a redaction of the portion of the volunteered data. The version of the portion of the volunteered data can be aggregated with other portions of other volunteered data determined to satisfy corresponding SPCI related rules.

Abstract: A processing system including at least one processor may obtain a request for a performance of a task, where the task is to be performed by at least one autonomous vehicle, broadcast an offer for performing the task to a plurality of autonomous vehicles, obtain from a first autonomous vehicle of the plurality of autonomous vehicles, a bid to perform the task by the first autonomous vehicle and at least a second autonomous vehicle, and assign the task to the first autonomous vehicle and the at least the second autonomous vehicle in response to the bid.

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: Structured access to volunteered private data disclosed. Access can be based on security and privacy constraint information (SPCI) that can be selected by the party volunteering the private data. The volunteered data can be stored in a protected portion of a public network. The SPCI can be correlated to the volunteered data. In response to receiving a request for access to the volunteered data, an attribute of the request can be determined to satisfy one or more rules related to the SPCI prior to facilitating access to a version of a portion of the volunteered data. The version of the portion of the volunteered data can be a redaction of the portion of the volunteered data. The version of the portion of the volunteered data can be aggregated with other portions of other volunteered data determined to satisfy corresponding SPCI related rules.

Abstract: A processing system including at least one processor may collect, via at least one camera of at least one autonomous aerial vehicle, viewing information for a plurality of positions for each of a plurality of viewing locations within an event venue. The processing system may next present a viewing location selection interface to a user, where the viewing location selection interface provides a simulated view with respect to at least one of the plurality of positions for at least one of the plurality of viewing locations, and where the simulated view is based upon the viewing information that is obtained. The processing system may then obtain a selection from the user of a viewing location of the plurality of viewing locations for an event at the event venue.

Abstract: A framework for a 6th generation (6G) ubiquitous wireless communications network is provided. A system comprises: a memory that stores executable instructions; and a processor, coupled to the memory, that facilitates execution of the executable instructions to perform operations.

Abstract: A simulation of a planned future environment can be presented, including social aspects, along with a simulation of other aspects of the environment, such as sounds and other environment conditions. For example, a user can plan a travel route from point A to point B and view a preview of the journey prior to beginning the journey to envision what to expect and possibly alter their plans as a result. In order for a simulated preview of the journey to be created, a set of data can be collected that can represent the location of connected or non-connected objects at a point in time and predict their location at later points in time. The prediction can be validated or confirmed by other connected devices long the route.