Abstract: Aspects of the subject disclosure may include, for example, obtaining image content over a communication network, determining a predicted viewpoint of a user associated with the image content, and adjusting the image content to equirectangular image content according to the predicted viewpoint. Further aspects can include downscaling the equirectangular image content according to a display capability of a mobile device resulting in a downscaled equirectangular image content, cropping the downscaled equirectangular image content resulting in a cropped equirectangular image content, and providing, over the communication network, the cropped equirectangular image content to the mobile device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, system for tile-based video streaming using a proxy executing at a mobile edge cloud, which adaptively offloads decoding and merging of video tiles from mobile devices to the mobile edge cloud. A processing system including the proxy communicates with a video server and a client device. The proxy receives a request for video content from a client device; the request includes historical field of view (FoV) information. The proxy predicts a client FoV, requests video tiles from the server, downloads the tiles from the server, generates a video chunk by decoding and merging the downloaded tiles, and delivers the video chunk to the client device. The client device performs local decoding and rendering of the generated video chunk. Other embodiments are disclosed.

Abstract: A processing system including at least one processor may receive a request from a client device for a deployment of a client service to a mobile edge infrastructure of a telecommunication network, the mobile edge infrastructure including host devices, and determine at least one requirement for the client service, including at least one of: a distance requirement, comprising a maximum distance between the client device and a candidate host device for deploying the service, or a latency requirement, comprising a maximum latency between the client device and the candidate host device for deploying the service. The processing system may further determine at least one available host device of the mobile edge infrastructure that meets the requirements, select a host device from among the at least one available host device to run the client service, and instruct the client device to connect to the host device that is selected.

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: A system that incorporates teachings of the present disclosure may include, for example, a server operably coupled to an internet protocol multimedia subsystem network and an interactive television system, where the server receives a session transfer request from a first communication device, where the session transfer request includes identification information associated with a second communication device, and where the server transmits a message to the second communication device and transmits a media adjustment message to a media resource server of the internet protocol multimedia subsystem network. The media content is adjusted and transmitted to the second communication device responsive to the media adjustment message, where the adjusted media content is generated by the media resource server based on the identification information associated with the second communication device. Other embodiments are disclosed.

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: 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: 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: 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: 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: Aspects of the subject disclosure may include, for example, a wireless framework for delivering TV services. The wireless framework can include a mix of wireless access technologies (e.g. Satellite, WiFi and/or LTE overlay links). One or more aspects of the subject disclosure include injecting TV content into the network at a few locations (e.g., residential locations) using satellite antennas (e.g., satellite dishes). The content is then further distributed to other homes using a house-to-house WiFi network and/or via an overlay LTE network. 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: A system for designing and executing control loops in a cloud environment includes a control platform implemented in the cloud environment having a data collection, analytics and events module, a policy module and an application controller module. The system includes a business process management application coupled to the control platform having a control loop designer module for designing a control loop template and a workflow engine for distributing the control loop template. The business process management application is coupled to the data collection analytics and events module of the control platform as well as the policy module in the application controller module to control platform. The control loop is activated by the control platform.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system identifies a plurality of performance indicators comprising device performance indicators for a plurality of communication devices on a cellular network and network performance indicators for the cellular network. The method also includes obtaining historical data regarding the plurality of performance indicators for each of a series of time points during a past time period; the historical data for each of the plurality of performance indicators form an array of values for that performance indicator. The method further includes generating from each array a set of inputs to an algorithm for predicting a throughput of the cellular network during a future time period; the set of inputs comprises quantiles of the array, and the algorithm comprises a machine learning algorithm. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, system for tile-based video streaming using a proxy executing at a mobile edge cloud, which adaptively offloads decoding and merging of video tiles from mobile devices to the mobile edge cloud. A processing system including the proxy communicates with a video server and a client device. The proxy receives a request for video content from a client device; the request includes historical field of view (FoV) information. The proxy predicts a client FoV, requests video tiles from the server, downloads the tiles from the server, generates a video chunk by decoding and merging the downloaded tiles, and delivers the video chunk to the client device. The client device performs local decoding and rendering of the generated video chunk. 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: 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, a method in which a processing system identifies a plurality of performance indicators comprising device performance indicators for a plurality of communication devices on a cellular network and network performance indicators for the cellular network. The method also includes obtaining historical data regarding the plurality of performance indicators for each of a series of time points during a past time period; the historical data for each of the plurality of performance indicators form an array of values for that performance indicator. The method further includes generating from each array a set of inputs to an algorithm for predicting a throughput of the cellular network during a future time period; the set of inputs comprises quantiles of the array, and the algorithm comprises a machine learning algorithm. Other embodiments are disclosed.

Abstract: The described technology is generally directed towards reducing latency in a wireless communications network. Radio access network latency data corresponding to a measured latency impact criterion is obtained by a network device of a wireless network. Based on the radio access network latency data, latency guidance data usable by the radio network device to achieve a reduction in communication latency that is experienced by a user equipment is predicted, e.g., by a learned model. The latency guidance data can be used to facilitate a reduction in the communication latency that is experienced by a user equipment.