Abstract: Aspects of the subject disclosure may include, for example, obtaining predicted available bandwidths for an end user device, monitoring buffer occupancy of a buffer of the end user device, determining bit rates for portions of media content according to the predicted available bandwidths and according to the buffer occupancy, and adjusting bit rates for portions of media content according to the predicted available bandwidths and according to the buffer occupancy during streaming of the media content to the end user device over a wireless network. Other embodiments are disclosed.

Abstract: Devices, computer-readable media, and methods for submitting a modified voice input to a service based upon a user intent determined from a voice input in accordance with a voice interface of the service are disclosed. A processing system including at least one processor may obtain a voice input of a user, determine an intent from the voice input, identify a first service, from among a plurality of services, in accordance with the intent, and formulate a first modified voice input from the voice input in accordance with a voice interface of the first service, where each of the services is associated with one of a plurality of different voice interfaces. The processing system may further submit the first modified voice input to the first service, obtain a first voice response from the first service, and present a voice output to the user in accordance with the first voice response.

Abstract: Aspects of the subject disclosure may include, for example, embodiments for determining a first motion-to-update latency of a mobile device in relation to receiving a video content update provided by a video content server. Further embodiments include, responsive to determining that the first motion-to-update latency exceeds a threshold: determining a motion-to-update latency of the mobile device in relation to receiving video content updates from a plurality of edge servers resulting in a plurality of motion-to-update latencies, identifying a second motion-to-update latency from the plurality of motion-to-update latencies that is below the threshold, identifying an edge server associated with the second motion-to-update latency, and transmitting video content to the edge server to mitigate the first motion-to-update latency. The edge server provides a portion of the video content at different time intervals to the mobile device and the video content comprises panoramic video content.

Abstract: The described technology is generally directed towards machine learning deployment in radio access networks. A machine learning deployment pipeline can comprise a machine learning model design platform, a network automation platform, and a radio access network. Machine learning models can be designed at the machine learning model design platform, trained at the network automation platform, and deployed and used at the radio access network. The technology includes operations performed at each stage of the deployment pipeline in order to deploy machine learning models.

Abstract: Aspects of the subject disclosure may include, for example, a process or apparatus for receiving, by a processing system including a processor, cell traffic reports for cells of a radio communication network, performing a reconfiguration analysis to identify reconfiguration information to reconfigure the radio communication network according to changing network conditions, and communicating the reconfiguration information defining a new cell configuration for the cells of the radio communication network and communicating information defining a new reconfiguration time for the cells to substantially synchronously switch to communicating according to the reconfiguration information. The receiving the cell traffic reports, the performing the reconfiguration analysis and the communicating the reconfiguration information occur in substantially real time. Other embodiments are disclosed.

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: 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, obtaining a model of a communication network, applying first data to the model to generate an updated model, processing the updated model to establish a first control, enabling first communications in the communication network in accordance with the first control, obtaining first parametric data regarding the first communications in the communication network that are based on the first control, processing the first parametric data in accordance with the updated model to generate an updated first control, and enabling second communications in the communication network in accordance with the updated first control. Other embodiments are disclosed.

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: 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: Disclosed herein are systems, methods, and computer-readable storage devices for reducing inter-cellsite interference during full-duplex communication. A system receives a channel amplitude and a phase estimate between a first station and a second station, the first station and the second station creating inter-cellsite interference on a channel during full-duplex communications. The system calculates a level of the inter-cellsite interference between the first station and the second station based on the channel amplitude and the phase estimate and generates a cancellation signal based on the inter-cellsite interference. The system then communicates the cancellation signal to the first station for transmission with additional data during additional full-duplex communications.

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: Aspects of the subject disclosure may include, for example, a processing system of a communication node routing data packets for a first streaming session between a viewer node of a plurality of viewer nodes and a content streaming server through the communication node without interrupting delivery of content data to the viewer node, establishing a second streaming session with the content streaming server to receive the content data, creating a first and second replacement connections by imitating a connections with the content streaming server and the viewer node, receiving a control packet over the second streaming session from the content streaming server, and splitting the first streaming session responsive to receiving the control packet. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving, over a communication network, a plurality of requests for frames of video content to provide to a mobile device. Further embodiments can include determining a first portion of the plurality of requests are for pre-fetch frames of the video content, and providing, over the communication network, the pre-fetch frames to the mobile device over a default bearer path. Additional embodiments can include determining a second portion of the plurality of requests are for emergent frames of the video content, and providing, over the communication network, the emergent frames to the mobile device over a dedicated bearer path. Other embodiments are disclosed.

Abstract: A system can obtain a labelled data set, including historic video data and labelled events. The system can divide the labelled data set into historic training/testing data sets. The system can determine, using the historic training data set, a plurality of different parameter configurations to be used by a video encoder to encode a video that includes a plurality of video frames. Each parameter configuration can include a group of pictures (“GOP”) size and a scenecut threshold. The system can calculate an accuracy of event detection (“ACC”) and a filtering rate (“FR”) for each parameter configuration. The system can calculate, for each parameter configuration of the plurality of different parameter configurations, a harmonic mean between the ACC and the FR. The system can then select a best parameter configuration of the plurality of different parameter configurations based upon the parameter configuration that has the highest harmonic mean.

Abstract: In one example, a processing system including at least one processor may obtain predicted viewports of a plurality of mobile computing devices for an immersive visual stream, determine at least a first tile of the immersive visual stream that is within the predicted viewports of at least two mobile computing devices of the plurality of mobile computing devices, select a first mobile computing device of the at least two mobile computing devices to transmit the first tile, and transmit to the first mobile computing device, the first tile and at least one identification of at least one other mobile computing device of the at least two mobile computing devices to which the first mobile computing device is to forward the first tile.

Abstract: Aspects of the subject disclosure may include, for example, obtaining predicted available bandwidths for an end user device, monitoring buffer occupancy of a buffer of the end user device, determining bit rates for portions of media content according to the predicted available bandwidths and according to the buffer occupancy, and adjusting bit rates for portions of media content according to the predicted available bandwidths and according to the buffer occupancy during streaming of the media content to the end user device over a wireless network. Other embodiments are disclosed.