Abstract: Aspects of the subject disclosure may include, for example, performing steps including monitoring a plurality of data packets in a data pipeline of a network, such as a User Plane Function of a 5G Core, where the monitoring can include analyzing header information associated with the plurality of data packets, identifying a first data object in the plurality of data packets according to the monitoring of the plurality of data packets, where the identifying the first data object in the plurality of data packets can further comprise identifying metadata associated with the first data object, switching a first set of data packets of the plurality of data packets associated with the first data object to an intelligent router for extracting the first data object from the first set of data packets to generate an extracted first data object responsive to the identifying the first data object in the plurality of data packets, and transmitting the extracted first data object to a client device via the data pipeline of

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, determining content information associated with participant information from a plurality of data channels associated with a plurality of participants in a communications session, modifying the participant information responsive to identifying non-conforming participant information, generating categorized participant information according to the content information associated with the participant information from the plurality of data channels, aggregating, by the processing system, the categorized participant information from the plurality of data channels to generate group information, sending the group information to a common data channel, wherein the common data channel is presented to each participant of the plurality of participants in the communications session, and sending a first notification to a first participant via a first data channel of the plurality of data channels responsive to identifying an involvement level associated with the fir

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system obtains a sample of a content stream directed to a user device, identifies a type of the content stream, and selects a model for recognizing objects appearing in the content stream. The system analyzes the content stream in accordance with the model to recognize the object, generates a label for the object, and associates the label with the object in the content stream. The system also delivers the content stream for presentation at the user device; the label is delivered in-line with respect to the content stream and is generated in real time with respect to the presentation. The method further includes training the model in accordance with a machine learning procedure; the model is refined based on the analyzing of the content stream. Other embodiments are disclosed.

Abstract: Deployment of Internet-of-things devices can comprise sensors deployed in remote and hard to reach areas and locations. Due to lack of access to reliable power, these sensors cannot always be connected to a network and also have limited computation power. Consequently, a mechanism can be established to periodically access these sensors and collect data from them. The mechanism can utilize a mobile radio unit device to serve as data collectors. The mobile radio unit device can make use of an adaptive beam scanning to perform sensory data collection via the beam scanning operation. Additionally, the platform can also comprise a radio access network intelligent controller to manage the data collecting radio units by providing specific instructions and data collection methodologies.

Abstract: Precoding matrix computations for a large number of antenna arrays can be used to generate efficiencies within a wireless network. Utilizing network topology and context data in conjunction with known available network resources and mobile device measurements can facilitate gains in power and spectral efficiency and reduction in computation complexity posed by current procedures. To take advantage of multiple paths, the precoding matrix can be known at the radio units for each mobile device.

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: Concepts and technologies are disclosed herein for controlling network traffic using acceleration policies. According to various embodiments of the concepts and technologies disclosed herein, an acceleration application can be executed by a device for analyzing data requests, determining if the data communications requested by way of the request can be delayed, accelerated, or otherwise modified (“shifted”) based upon policies and/or network operating conditions. In some embodiments, the acceleration application can be configured to access acceleration policies that can define how certain traffic is to be shifted. The acceleration application also can be configured to obtain and analyze network data to determine network operating conditions and determine, based upon the determined conditions, if traffic is to be shifted based upon the network operating conditions.

Abstract: A method includes receiving, at a network computing device, a recording request to generate processed media content from media content. The recording request includes settings. The settings indicate to replace a particular image in the media content with a substitute image. The method includes, after receiving the media content at the network computing device via a network, generating the processed media content. Generating the processed media content includes identifying the particular image in a frame of the media content and replacing the particular image with the substitute image. The method also includes sending the processed media content via the network to a memory device.

Abstract: Collecting state information about the resources of radio access networks (RANs) and the Access Point Names (APNs) enables this information to be provided to mobile stations which employ this information to determine which radio access technology (RAT) to employ for connecting to the wireless access network, and to determine which APN to use. This decision is made relative to each application that the mobile station is executing, and these decisions are, optionally, revisited periodically, or as significant changes in the state information are recognized.

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: Adapting wireless network coverage areas according to beam parameters corresponding to predetermined radio cluster models is disclosed. The disclosed subject matter can enable determining cluster models corresponding to historic use of a wireless network, e.g., based on historical KPIs, etc., from UEs, RAN devices, antennas, and other sources. The cluster models can correspond to beam parameters. The cluster model of the cluster models can be selected based on a current KPI value, e.g., a real-time or near real-time wireless network measurement, e.g., from a UE, RAN device, antenna, etc. Beam parameters corresponding to the selected cluster model can be communicated to a RAN device which can generate a corresponding radio beam. In an aspect, this can provide wireless connectivity to clusters of devices in the area of the radio beam, wherein the devices of the clusters can, in some embodiments, share same or similar wireless network demands.

Abstract: Precoding matrix computations for a large number of antenna arrays can be used to generate efficiencies within a wireless network. Utilizing network topology and context data in conjunction with known available network resources and mobile device measurements can facilitate gains in power and spectral efficiency and reduction in computation complexity posed by current procedures. To take advantage of multiple paths, the precoding matrix can be known at the radio units for each mobile device.

Abstract: A radio access network intelligent controller (RIC) platform can enable various highly secure, reliable, fast communications for first responders during emergency situations. Self-organizing service chaining of public safety edge applications, can be enabled in both time and space when triggered by an emergency situation. The RIC platform can perform reassignment of resources and network slices according to historical data and situational analysis. The RIC platform can select and provide the best frequencies and resources to ensure that first responders have communication services that do not get affected by anomalies such as network load, congestion, and/or related degradations.

Abstract: Given real-time user equipment (UE) measurements from an open radio access network (O-RAN) infrastructure, a radio access network intelligent controller (RIC) can compute a UE distribution context space. The O-RAN can comprise gNode-Bs, centralized units, and distributed units. The UE distribution context space computations can be performed by a UE context correlator module of the RIC. The UE context correlator module can also utilize a pre-defined UE context model, which contains definitions and values for various UE context attributes to generate adaptive beam-forming patterns.

Abstract: Deployment of Internet-of-things devices can comprise sensors deployed in remote and hard to reach areas and locations. Due to lack of access to reliable power, these sensors cannot always be connected to a network and also have limited computation power. Consequently, a mechanism can be established to periodically access these sensors and collect data from them. The mechanism can utilize a mobile radio unit device to serve as data collectors. The mobile radio unit device can make use of an adaptive beam scanning to perform sensory data collection via the beam scanning operation. Additionally, the platform can also comprise a radio access network intelligent controller to manage the data collecting radio units by providing specific instructions and data collection methodologies.

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: An intelligent determination of a set of candidate handover-beams for a radio access network (RAN) can be facilitated by a RAN intelligent controller (RIC). The RIC can obtain data associated with user equipment devices and their current state, historical patterns, and a current state of serving network node devices and neighboring network node devices. Based on the obtained data, a handover procedure can be optimized by the user equipment by estimating the signal quality from a source cell and neighboring cells. Additionally, the user equipment can send measurement reports to the network to identify and quantify the quality of reference signals transmitted by the network node devices.

Abstract: Precoding matrix computations for a large number of antenna arrays can be used to generate efficiencies within a wireless network. Utilizing network topology and context data in conjunction with known available network resources and mobile device measurements can facilitate gains in power and spectral efficiency and reduction in computation complexity posed by current procedures. To take advantage of multiple paths, the precoding matrix can be known at the radio units for each mobile device.

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.