Abstract: Wireless transition timers associated with wireless transition states are adaptively controlled in relation to use of applications by user equipment (UE). A UE can include a transition management component (TMC) that can adaptively control wireless transition timers associated with wireless states based on application type, session content, or other factors. The TMC monitors data flow associated with an application and, for a current or subsequent communication session, controls the length of wireless transition timers and switching between wireless states to improve UE, application, and/or network performance while maintaining QOE for the user. The TMC can access a timer look-up table that maps wireless transition timers to application type, content type, user behavior, or other factors. The TMC also can desirably control maintaining persistence or always-on connections by controlling switching between wireless states using the adapted wireless transition timers.

Abstract: Massively distributed and low-cost Internet of things (IoT) gateways can be controlled by software-defined networking (SDN) protocols transferred via an autonomous mobile device (e.g., fly-by drone). The IoT gateways can comprise sensors that capture information that is transferred to the communication network via the autonomous mobile device. For example, the autonomous mobile device can wake the IoT gateways adaptively and perform data collection and/or configuration tasks. Further, the autonomous mobile device can deliver the collected data to network devices of the communication network and return for the next batch of IoT gateway data collections.

Abstract: Aspects of the subject disclosure may include, for example, embodiments that comprise provisioning a target user profile and obtaining viewing history data. Further embodiments include generating a group of control rules according to the target user profile and training a machine learning application according to the viewing history data and the group of control rules. Additional embodiments include receiving a first indication that a first media content is to be presented to a target user. Also, embodiments include determining by the machine learning application, that the first media content does not conform to the group of control rules and providing a first notification that the first media content does not conform to the group of control rules. Other embodiments are disclosed.

Abstract: In 5G, a high degree of automated management and control mechanisms can coordinate various radios in relatively close proximity, via a zone, or in a cluster. Reactive automation coupled with hybrid algorithms utilizing internal radio states and known or expected external events or entities can enable a smart proactive 5G automation. The smart proactive 5G automation can minimize signaling between the radios and provide a hybrid distributed and centralized model utilizing a radio access network intelligent controller to increase spectrum efficiencies. Additionally, the smart proactive 5G automation can provide new service opportunities that can be offered by service providers.

Abstract: A network access credential can be shared among devices based on location information for a device. Location information can include timed fingerprint location information. In an aspect, location information can be associated with a location of user equipment. This location information can be correlated with network access credentials. Location information can be used to access a relevant network access credential. The relevant network access credential can be shared with other devices. In an embodiment, sharing a network access credential can be between mobile devices. In another embodiment, sharing a network access credential can be between a remote computing device and a mobile device. Sharing a credential can allow for access to a network without having to generate or input new credentials.

Abstract: Aspects of the subject disclosure may include, for example, generating a instruction set according to a data analytics collection strategy and identifying first and second network devices adapted to perform first and second types of network functions, respectively, within a communications network, wherein the first and second types of network functions are different. First and second collectors are instantiated in association with the first and second network devices, respectively, and the instruction set is provided to each of the first and second collectors. The first and second collectors are adapted to autonomously execute first and second segments of the instruction set according to the first and second types of network function to obtain first and second collection results, respectively, wherein network analytic functions are adapted to process the first and second collection results. Other embodiments are disclosed.

Abstract: Global Internet of things (IoT) quality of service (QoS) is provided through self-forming, self-healing, and/or collaborative edge IoT gateways. Moreover, global IoT services are provided by logically extending cellular networks with roaming partners to backhaul, track, and/or manage the globally deployed edge IoT gateways. In one aspect, real-time QoS and/or monitoring capabilities for the global IoT services can be provided through a communication between the edge IoT gateways and an edge gateway controller deployed within a cloud. The edge IoT gateways form a structured mesh network to coordinate workload execution under control of the edge gateway controller, which can facilitate a highly efficient QoS and/or SLA management for mobile IoT sensors, to provide a secure monitoring and/or diagnostic capability for the global IoT services.

Abstract: Massively distributed and low-cost Internet of things (IoT) gateways can be controlled by software-defined networking (SDN) protocols transferred via an autonomous mobile device (e.g., fly-by drone). The IoT gateways can comprise sensors that capture information that is transferred to the communication network via the autonomous mobile device. For example, the autonomous mobile device can wake the IoT gateways adaptively and perform data collection and/or configuration tasks. Further, the autonomous mobile device can deliver the collected data to network devices of the communication network and return for the next batch of IoT gateway data collections.

Abstract: Aspects of the subject disclosure may include, for example, embodiments that comprise provisioning a target user profile and obtaining viewing history data. Further embodiments include generating a group of control rules according to the target user profile and training a machine learning application according to the viewing history data and the group of control rules. Additional embodiments include receiving a first indication that a first media content is to be presented to a target user. Also, embodiments include determining by the machine learning application, that the first media content does not conform to the group of control rules and providing a first notification that the first media content does not conform to the group of control rules. Other embodiments are disclosed.

Abstract: Methods, systems, and computer programs encoded on computer storage medium, for receiving, by an analytics computing engine, a first remote control detail record (RCDR) of a remote control device that is communicatively coupled to a set-top box, the first RCDR including sensor data from one or more sensors of the remote control device, the RCDR being generated in response to a first video stream provided by the set-top box; processing, by the analytics computing engine, the first RCDR to determine a classification of a user associated with the sensor data, the classification of the user including one or more demographic categories; determining, by the analytics computing engine, a second video stream based on the classification of the user; and communicating, by the analytics computing engine, the second video stream to the set-top box.

Abstract: The concepts and technologies disclosed herein are directed to camera array orchestration. In accordance with one aspect disclosed herein, a camera array orchestration system can learn, based upon a trigger received from a camera array including at least two camera nodes, of at least one media object to be captured during an event. The trigger can include data that identifies the media object. The camera orchestration system can generate an inference with regard to an action to be taken by at least one camera node in the camera array with respect to capturing the media object during the event. The camera orchestration system can send the inference to the camera array. The camera orchestration system can check a camera orchestration database for a policy associated with the media object identified by the data included in the trigger. The inference can be generated, at least in part, based upon the policy.

Abstract: A network access credential can be shared among devices based on location information for a device. Location information can include timed fingerprint location information. In an aspect, location information can be associated with a location of user equipment. This location information can be correlated with network access credentials. Location information can be used to access a relevant network access credential. The relevant network access credential can be shared with other devices. In an embodiment, sharing a network access credential can be between mobile devices. In another embodiment, sharing a network access credential can be between a remote computing device and a mobile device. Sharing a credential can allow for access to a network without having to generate or input new credentials.

Abstract: In one embodiment, a method includes receiving, by a storage device located at an edge of a network, user device data from a first user device and receiving, by the storage device, metadata associated with an environment of the first user device. The method also includes classifying, by the storage device, the metadata into a category to generate classified metadata and applying, by the storage device, a policy to the classified metadata to generate policy-based classified metadata. The method further includes assigning, by the storage device, one or more tokens to the policy-based classified metadata and assigning, by the storage device, one or more tags to the policy-based classified metadata. The method further includes transmitting, by the storage device, the one or more tags to a second user device in accordance with the one or more tokens.

Abstract: Disclosed are systems, methods, and computer readable media for providing a collaborative communication environment. The method embodiment comprises receiving user profiles, establishing a collaborative communication environment where a plurality of users simultaneously interact over a network, converting data to be sent to each user in a collaborative environment based on the respective user's profile, and presenting a localized experience to each user using the converted data.

Abstract: A method and system for enhanced human to human and human to machine interactions employs a sensory communication session that spans from end user device to end user device across a network. The sensory communication session includes remote sensory application programming interfaces that provide standardized access to applications executing on user communication devices. The sensory communication session enables enhanced interactions with a deeper quality of experience and enables each communicating user to better discern feelings, situation, and other environmental and personal context associated with the other user.

Abstract: Configurable probe blocks for system monitoring are disclosed. Example apparatus disclosed herein include a processor to perform operations including enabling, based on a value of a control word, a first probe input of a probe block, the first probe input mapped to a source of monitored network traffic in a software defined network. Disclosed example apparatus also include configuring, based on the value of the control word, a first trigger condition of the probe block to evaluate the monitored network traffic to determine whether the monitored network traffic has a first characteristic. Disclosed example apparatus further include configuring, based on the value of the control word, a first probe output of the probe block to output a result of the monitored network traffic being evaluated according to the first trigger condition, the first probe output to output the result to a network application of the software defined network.

Abstract: Aspects of the subject disclosure may include, for example, embodiments that comprise provisioning a target user profile and obtaining viewing history data. Further embodiments include generating a group of control rules according to the target user profile and training a machine learning application according to the viewing history data and the group of control rules. Additional embodiments include receiving a first indication that a first media content is to be presented to a target user. Also, embodiments include determining by the machine learning application, that the first media content does not conform to the group of control rules and providing a first notification that the first media content does not conform to the group of control rules. Other embodiments are disclosed.

Abstract: A network access credential can be shared among devices based on location information for a device. Location information can include timed fingerprint location information. In an aspect, location information can be associated with a location of user equipment. This location information can be correlated with network access credentials. Location information can be used to access a relevant network access credential. The relevant network access credential can be shared with other devices. In an embodiment, sharing a network access credential can be between mobile devices. In another embodiment, sharing a network access credential can be between a remote computing device and a mobile device. Sharing a credential can allow for access to a network without having to generate or input new credentials.

Abstract: A network operating system agent can operate to facilitate communications to a network device and a managing server of self-organizing network devices to exchange contexts between an application managed by a user equipment device and the network device. Relationships between self-organizing devices and applications of a user equipment device can be extended so that the network devices are context aware of the application settings. In response to detecting the user equipment device communicating via the network devices, a set of user equipment device parameters and a set of application settings of the application can be communicated to the network devices. The application settings can be modified according to the a set of radio network performance settings of the self-organizing network devices with the user equipment device based on the set of user equipment device parameters and the set of application settings of the application.

Abstract: A method includes initiating, by an agent application of an access point, a communication connection to a self-organizing network controller via a particular communication path to the self-organizing network controller. The particular communication path is identified in a prioritized set of communication paths to the self-organizing network controller. The method includes receiving, at the access point, control data from the self-organizing network controller via the particular communication path. The control data includes an instruction for a station, the station in communication with the access point via a wireless local area network supported by the access point. The method also includes sending the instruction to the station from the access point via the wireless local area network. The instruction is executable by the station to cause the station to modify a data transmission rate of the station.