Abstract: In one example, a processing system including at least one processor may obtain viewport information of a mobile computing device associated with a panoramic video, map the viewport information to a plurality of blocks of a frame of the panoramic video in accordance with a cube map projection of the frame, encode the plurality of blocks into a projected frame, and transmit the projected frame to the mobile computing device. In another example, a processing system of a mobile computing device including at least one processor may obtain viewport information of the device associated with a panoramic video, transmit to a server the viewport information, obtain from the server a projected frame of the panoramic video comprising a plurality of blocks of a frame of the panoramic video that are associated with the viewport information in accordance with a cube map projection of the frame, and buffer the projected frame.

Abstract: Aspects of the subject disclosure may include, for example, a method comprising obtaining media content; receiving a request from equipment of a user to view the media content; identifying a predicted field of view of the user; sending a base layer of the media content to the equipment of the user using a first stream; and sending a first enhancement layer of the predicted field of view to the equipment of the user using a second stream. The first stream and the second stream may utilize different protocols, different servers, different buffer sizes, and/or a combination thereof. While the first stream may include an entire 360 degrees of the base layer of the media content, the second stream may be limited to the first enhancement layer of the predicted field of view of the media content. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, applying a model to a first unlabeled traffic item to generate a classification of the first unlabeled traffic item as a first class of traffic items or a second class of traffic items, generating a first score that is representative of a first confidence of the classification, determining that the first score is greater than a first threshold, and responsive to determining that the first score is greater than the first threshold, refining the model in accordance with at least the classification, resulting in a modified model. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, selecting a set of traffic counters, wherein the traffic counters provide a profile of viewing habits of a user, and wherein the traffic counters are extracted from video streaming by the user; predicting a size of a video buffer based on the traffic counters selected; and building the video buffer based on the predicted size. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving a first plurality of operating parameters associated with a first plurality of communication devices, obtaining a first prediction of a performance of a first communication device included in the first plurality of communication devices that is based on an application of the first plurality of operating parameters to a model, and responsive to a determination that the first prediction of the performance is inadequate in accordance with a first threshold, transmitting a first command to at least one communication device included in the first plurality of communication devices to modify at least one operating parameter of the at least one communication device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device including a processing system including a processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, including monitoring network traffic to determine a transmission control protocol traffic pattern, determining a target video rate from the transmission control protocol traffic pattern, and modifying an over-the-top video delivery service network according to the target video rate. Other embodiments are disclosed.

Abstract: Devices, computer-readable media, and methods for selecting a type of transmission for an immersive visual stream based upon a latency estimate. For instance, a processing system including at least one processor may obtain a latency estimate for an immersive visual stream, determine whether the latency estimate exceeds a latency threshold for selecting a type of transmission for the immersive visual stream, and select the type of transmission for the immersive visual stream from among a field of view restricted type of transmission and a field of view plus out of scene type of transmission based upon the determining. When the latency estimate is determined to not exceed the latency threshold, the field of view restricted type of transmission is selected. When the latency estimate is determined to exceed the latency threshold, the field of view plus out of scene type of transmission is selected.

Abstract: Aspects of the subject disclosure may include, for example, a method, including identifying recommended video clips for a user of a communication device according to a video viewing profile for the user and video subject matter information associated with a plurality of video clips, identifying an edge cloud server for facilitating network access by the communication device at a location, determining a reduced activity period for a data path between a video content server and the edge cloud server by comparing activity information for the data path and an activity threshold, directing the video content server to store the recommended video clips at the edge cloud server during the reduced activity period, and providing a listing of the recommended video clips to an application, where the communication device receives a video clip of the recommended video clips from the edge cloud server responsive to a selection of the video clip via the application. Other embodiments are disclosed.

Abstract: In one example, a processing system including at least one processor may obtain viewport information of a mobile computing device associated with a panoramic video, map the viewport information to a plurality of blocks of a frame of the panoramic video in accordance with a cube map projection of the frame, encode the plurality of blocks into a projected frame, and transmit the projected frame to the mobile computing device. In another example, a processing system of a mobile computing device including at least one processor may obtain viewport information of the device associated with a panoramic video, transmit to a server the viewport information, obtain from the server a projected frame of the panoramic video comprising a plurality of blocks of a frame of the panoramic video that are associated with the viewport information in accordance with a cube map projection of the frame, and buffer the projected frame.

Abstract: Aspects of the subject disclosure may include, for example, a method including monitoring a video session to determine key performance indicators for cross-layer interactions between a network providing video session video data and user equipment receiving the video session video data, wherein the key performance indicators include a transmission control protocol congestion window size that corresponds to a video chunk requested by the user equipment, and a radio access network throughput of a download of the video chunk requested by the user equipment, and determining a quality of service for the user equipment during the video session according to a residual length of content in a playback buffer for the user equipment based on the transmission control protocol congestion window size, and the radio access network throughput. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method comprising obtaining media content; receiving a request from equipment of a user to view the media content; identifying a predicted field of view of the user; sending a base layer of the media content to the equipment of the user using a first stream; and sending a first enhancement layer of the predicted field of view to the equipment of the user using a second stream. The first stream and the second stream may utilize different protocols, different servers, different buffer sizes, and/or a combination thereof. While the first stream may include an entire 360 degrees of the base layer of the media content, the second stream may be limited to the first enhancement layer of the predicted field of view of the media content.

Abstract: Aspects of the subject disclosure may include, for example, selecting a set of traffic counters, wherein the traffic counters provide a profile of viewing habits of a user, and wherein the traffic counters are extracted from video streaming by the user; predicting a size of a video buffer based on the traffic counters selected; and building the video buffer based on the predicted size. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving a first plurality of operating parameters associated with a first plurality of communication devices, obtaining a first prediction of a performance of a first communication device included in the first plurality of communication devices that is based on an application of the first plurality of operating parameters to a model, and responsive to a determination that the first prediction of the performance is inadequate in accordance with a first threshold, transmitting a first command to at least one communication device included in the first plurality of communication devices to modify at least one operating parameter of the at least one communication device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device including a processing system including a processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, including monitoring network traffic to determine a transmission control protocol traffic pattern, determining a target video rate from the transmission control protocol traffic pattern, and modifying an over-the-top video delivery service network according to the target video rate. Other embodiments are disclosed.

Abstract: Various embodiments disclosed herein provide for identifying optimal data packet size to achieve a higher throughput a wireless communication network. According to some embodiments, a system can comprise monitoring a transmit control protocol performance associated with a first transmission of data packets over a first duration of time, wherein a packet size of the data packets is a first data packet size, detecting that the transmit control protocol performance satisfies a function with respect to a threshold and in response to the detecting that transmit control protocol performance satisfies the function with respect to the first threshold, determining a second data packet size to use for a second transmission of the data packets over a second duration of time, transmitting a request to change the packet size of the data packets to the second data packet.

Abstract: Aspects of the subject disclosure may include, for example, a method, including identifying recommended video clips for a user of a communication device according to a video viewing profile for the user and video subject matter information associated with a plurality of video clips, identifying an edge cloud server for facilitating network access by the communication device at a location, determining a reduced activity period for a data path between a video content server and the edge cloud server by comparing activity information for the data path and an activity threshold, directing the video content server to store the recommended video clips at the edge cloud server during the reduced activity period, and providing a listing of the recommended video clips to an application, where the communication device receives a video clip of the recommended video clips from the edge cloud server responsive to a selection of the video clip via the application. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method including monitoring a video session to determine key performance indicators for cross-layer interactions between a network providing video session video data and user equipment receiving the video session video data, wherein the key performance indicators include a transmission control protocol congestion window size that corresponds to a video chunk requested by the user equipment, and a radio access network throughput of a download of the video chunk requested by the user equipment, and determining a quality of service for the user equipment during the video session according to a residual length of content in a playback buffer for the user equipment based on the transmission control protocol congestion window size, and the radio access network throughput. 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.

Abstract: Devices, computer-readable media, and methods for selecting a type of transmission for an immersive visual stream based upon a latency estimate. For instance, a processing system including at least one processor may obtain a latency estimate for an immersive visual stream, determine whether the latency estimate exceeds a latency threshold for selecting a type of transmission for the immersive visual stream, and select the type of transmission for the immersive visual stream from among a field of view restricted type of transmission and a field of view plus out of scene type of transmission based upon the determining. When the latency estimate is determined to not exceed the latency threshold, the field of view restricted type of transmission is selected. When the latency estimate is determined to exceed the latency threshold, the field of view plus out of scene type of transmission is selected.

Abstract: Aspects of the subject disclosure may include, for example, embodiments include obtaining video content, the video content comprises a plurality of frames, monitoring, by an image sensor, a facial feature of a user to determine a visual focus of the user in relation to the video content, and detecting from a group of frames of the plurality of frames at least a reduction in movements of objects in the group of frames. Further embodiments include determining, according to the monitoring and the detecting, a measure of attention of the user within a region of the group of frames, determining that the measure of attention of the user within the region of the group of frames satisfies a threshold, and embedding in at least a portion of subsequent frames of the plurality of frames a visual advertisement in the region via a communication device. Other embodiments are disclosed.