Abstract: The described technology is generally directed towards network slice management. A mobile communications network can comprise multiple sub-networks, namely, as an access network, a transport network, and a core network. Access network resources can be managed according to the techniques provided herein to meet service level agreement (SLA) commitments associated with network slices. Furthermore, resources of any sub-network can be managed in a manner that accounts for constraints imposed by the other sub-networks.

Abstract: Aspects of the subject disclosure may include, for example, monitoring a plurality of data packets in a network by analyzing header information to detect an indicator associated with a first data object type, identifying a first data object in a first set of data packets according to the monitoring and according to a model relating to the first data object type, instantiating an intelligent router at the network, switching the first set of data packets to the intelligent router to cause the intelligent router to generate an extracted first data object from the first set of data packets, transmitting the extracted first data object to a client device via the data pipeline of the network responsive to a request from the client device for the first data object, and decommissioning the intelligent router after the transmitting the extracted first data object. Other embodiments are disclosed.

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: The described technology is generally directed towards an intent design tool for communication networks. A graphical user interface provided by the intent design tool can include a collection of communication network topology elements and a communication network intent topology design area. Selected communication network topology elements can be placed into the communication network intent topology design area, and connection types between the selected communication network topology elements can also be specified in the communication network intent topology design area, in order to define custom communication network intent topologies.

Abstract: Methods, computer-readable media and devices are disclosed for selecting a plurality of network devices to perform a plurality of tasks in accordance with a set of functional network analytics instructions. For example, a processor deployed in a telecommunication network may receive a set of functional network analytics instructions compiled from a set of instructions in accordance with a functional network analytics platform application programming interface. The processor may further, in accordance with the set of functional network analytics instructions, select a plurality of network devices to perform a plurality of tasks, send the plurality of tasks to the plurality of network devices, receive control plane data from the plurality of network devices, correlate the control plane data in accordance with operations defined in the set of functional network analytics instructions to create resulting data, and forward the resulting data to at least one recipient device.

Abstract: A radio access network intelligent controller (RIC) platform can enable various highly secure, reliable, fast communications for first responders during emergency situations. The RIC can utilize radio access network (RAN) resources, for example, beam management procedures to facilitate the use of virtual zones. The virtual zones can be generated dynamically by leveraging collaborating mobile devices from various zones. The virtual zones can be distributed entities that span across real-physical zones but are managed as a single logical entity under a common set of policies. The creation and management of virtual zones can be performed by a group of corresponding RICs as a distributed system.

Abstract: The described technology is generally directed towards network slice management. A mobile communications network can comprise multiple sub-networks, namely, as an access network, a transport network, and a core network. Access network resources can be managed according to the techniques provided herein to meet service level agreement (SLA) commitments associated with network slices. Furthermore, resources of any sub-network can be managed in a manner that accounts for constraints imposed by the other sub-networks.

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: 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: 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: 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: 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: 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: 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: 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: The described technology is generally directed towards an intent design tool for communication networks. A graphical user interface provided by the intent design tool can include a collection of communication network topology elements and a communication network intent topology design area. Selected communication network topology elements can be placed into the communication network intent topology design area, and connection types between the selected communication network topology elements can also be specified in the communication network intent topology design area, in order to define custom communication network intent topologies.

Abstract: The described technology is generally directed towards beam recovery for an antenna array. One or more recovery beams or recovery beam patterns can be defined for an antenna array, and in response to a failure, the antenna array can be restored to a defined recovery beam or recovery beam pattern. Techniques for defining recovery beams and recovery beam patterns for the antenna array, selecting a recovery beam or recovery beam pattern for the antenna array, and entering a selected recovery beam or recovery beam pattern by the antenna array are also disclosed.

Abstract: A radio access network intelligent controller (RIC) platform can enable various highly secure, reliable, fast communications for first responders during emergency situations. The RIC can utilize radio access network (RAN) resources, for example, beam management procedures to facilitate the use of virtual zones. The virtual zones can be generated dynamically by leveraging collaborating mobile devices from various zones. The virtual zones can be distributed entities that span across real-physical zones but are managed as a single logical entity under a common set of policies. The creation and management of virtual zones can be performed by a group of corresponding RICs as a distributed system.

Abstract: The described technology is generally directed towards network slice management. A mobile communications network can comprise multiple sub-networks, namely, as an access network, a transport network, and a core network. Access network resources can be managed according to the techniques provided herein to meet service level agreement (SLA) commitments associated with network slices. Furthermore, resources of any sub-network can be managed in a manner that accounts for constraints imposed by the other sub-networks.