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: Software downloads to Internet of things (IoT) devices are facilitated over a constrained network. In one embodiment a method comprises monitoring, by a network device comprising a processor, data determined to have been sent to a device for transmission to the device via a radio access network device of a wireless communication network, and determining, by the network device, a type of traffic associated with the data. The method further includes based on a determination that the data comprises firmware and that the type of traffic is of a traffic priority that is lower than a defined traffic priority, applying, by the network device, a low priority transport protocol to the data, wherein the applying comprises associating protocol information with the data representative of the low priority transport protocol.

Abstract: A method includes receiving, at a server associated with a network operator, a plurality of uniform resource locators (URLs) associated with a media stream provided to a client device. The method includes processing, at the server, the plurality of URLs to determine a quality of experience metric. Processing the plurality of URLs includes extracting first URL data from a first URL and second URL data from a second URL of the plurality of URLs. The first URL data includes a first segment identifier associated with a first segment of a media content item and a first bit rate identifier. The second URL data includes a second segment identifier associated with a second segment of the media content item and a second bit rate identifier. A quality of experience metric may be determined based at least in part on the first URL data and the second URL data.

Abstract: Concepts and technologies are disclosed herein for adaptive bit rate mobile video objective testing. A system can receive a plurality of screen-capture frames, where each of the plurality of screen-capture frames corresponds to a respective frame of an adaptive bit rate video stream being displayed on a screen of a test device. The system can create a screen-capture video stream and determine that the screen-capture video stream corresponds to a reference video stream that is non-annotated. The system can obtain a reference video signature package, align the screen-capture video stream with the reference video stream using the reference video signature package, generate full reference video quality performance indicators, and determine delivery quality performance indicators for the screen-capture video stream. The system can join the full reference video quality performance indicators and the delivery quality performance indicators to form an objective quality of experience data structure.

Abstract: Aspects of the subject disclosure may include, for example, receiving network information for a group of video sessions. Embodiments include calculating an overall video traffic metric for the group of video sessions for each cell based on the network information and include determining a first overall video traffic metric of a first cell is above a first predetermined threshold and a second overall video traffic metric of a second cell is below the first predetermined threshold. Also, embodiments include generating a graphical map that indicates the overall video traffic metric for each cell in the cellular network and sending the graphical map to a mobile device in the first cell showing first overall video traffic metric and the second overall video traffic metric relative to the first predetermined threshold. Other embodiments are disclosed.

Abstract: Concepts and technologies are disclosed herein for adaptive bit rate mobile video objective testing. A system can receive a plurality of screen-capture frames, where each of the plurality of screen-capture frames corresponds to a respective frame of an adaptive bit rate video stream being displayed on a screen of a test device. The system can create a screen-capture video stream and determine that the screen-capture video stream corresponds to a reference video stream that is non-annotated. The system can obtain a reference video signature package, align the screen-capture video stream with the reference video stream using the reference video signature package, generate full reference video quality performance indicators, and determine delivery quality performance indicators for the screen-capture video stream. The system can join the full reference video quality performance indicators and the delivery quality performance indicators to form an objective quality of experience data structure.

Abstract: Aspects of the subject disclosure may include, for example, receiving network information for a group of video sessions. Embodiments include calculating an overall video traffic metric for the group of video sessions for each cell based on the network information and include determining a first overall video traffic metric of a first cell is above a first predetermined threshold and a second overall video traffic metric of a second cell is below the first predetermined threshold. Also, embodiments include generating a graphical map that indicates the overall video traffic metric for each cell in the cellular network and sending the graphical map to a mobile device in the first cell showing first overall video traffic metric and the second overall video traffic metric relative to the first predetermined threshold. Other embodiments are disclosed.

Abstract: Software downloads to Internet of things (IoT) devices are facilitated over a constrained network. In one embodiment a method comprises monitoring, by a network device comprising a processor, data determined to have been sent to a device for transmission to the device via a radio access network device of a wireless communication network, and determining, by the network device, a type of traffic associated with the data. The method further includes based on a determination that the data comprises firmware and that the type of traffic is of a traffic priority that is lower than a defined traffic priority, applying, by the network device, a low priority transport protocol to the data, wherein the applying comprises associating protocol information with the data representative of the low priority transport protocol.

Abstract: Aspects of the subject disclosure may include, for example, receiving network information for a group of video sessions. Embodiments include calculating an overall video traffic metric for the group of video sessions for each cell based on the network information and include determining a first overall video traffic metric of a first cell is above a first predetermined threshold and a second overall video traffic metric of a second cell is below the first predetermined threshold. Also, embodiments include generating a graphical map that indicates the overall video traffic metric for each cell in the cellular network and sending the graphical map to a mobile device in the first cell showing first overall video traffic metric and the second overall video traffic metric relative to the first predetermined threshold. Other embodiments are disclosed.

Abstract: A more efficient over-the-air software push can be facilitated by leveraging a smart scheduling system for vehicles. The smart scheduling system can use location and network capacity data to prioritize over-the-air software pushes for vehicles. For instance, a vehicle, which is only operational during off-peak wireless network hours can receive a software push during the off-peak times because wireless network capacity is not an issue. However, vehicles, which are used primarily during heavy peak wireless network times can receive software in a prioritized manner based on location data, frequency of use, network capacity, etc.

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: A method includes receiving, at a device from a content source, a portion of a particular chunk of media content a particular quality level during adaptive bit rate media streaming of the media content. The method includes receiving, at the device, network data related to network conditions associated with the device in response to receipt of the portion. The method also includes, in response to a determination to download the particular chunk at a first quality level different than the particular quality level, the determination based on the particular quality level and the network data: sending a request from the device for the particular chunk at the first quality level to the content source, and replacing the portion with the particular chunk at the first quality level.

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: Wireless video download rates are optimized by receiving, at a system with a computer that includes a processor and memory, a request to provide a piece of video content over a wireless network. The processor of the computer is used to determine whether to provide the video content at a first option that is as soon as possible or at a second option over a specified interval T. The interval T is calculated as a time for a destination device to download the video content at a rate level higher than encoding for the video content requires. Upon determining to provide the video content over the interval T, the video content is provided over the wireless network over the interval T to a client device that requested the piece of video content.

Abstract: A method includes receiving, at a device from a content source, a portion of a particular chunk of media content a particular quality level. The method includes receiving, at the device, network data about network conditions associated with the device in response to receipt of the portion. The method includes making, at the device, a determination based on the network data whether to download the particular chunk at a first quality level that is higher than the particular quality level based on the particular quality level and the data. The method includes, in response to the determination indicating to download the particular chunk at the first quality level: sending, to the content source from the device, a request for the particular chunk at the first quality level, and replacing the portion with the particular chunk at the first quality level.

Abstract: Wireless video download rates are optimized by receiving, at a system with a computer that includes a processor and memory, a request to provide a piece of video content over a wireless network. The processor of the computer is used to determine whether to provide the video content at a first option that is as soon as possible or at a second option over a specified interval T. The interval T is calculated as a time for a destination device to download the video content at a rate level higher than encoding for the video content requires. Upon determining to provide the video content over the interval T, the video content is provided over the wireless network over the interval T to a client device that requested the piece of video content.

Abstract: A method includes receiving, at a server associated with a network operator, a plurality of uniform resource locators (URLs) associated with a media stream provided to a client device. The method includes processing, at the server, the plurality of URLs to determine a quality of experience metric. Processing the plurality of URLs includes extracting first URL data from a first URL and second URL data from a second URL of the plurality of URLs. The first URL data includes a first segment identifier associated with a first segment of a media content item and a first bit rate identifier. The second URL data includes a second segment identifier associated with a second segment of the media content item and a second bit rate identifier. A quality of experience metric may be determined based at least in part on the first URL data and the second URL data.

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: A method includes receiving, at a device from a content source, a portion of a particular chunk of media content a particular quality level. The method includes receiving, at the device, network data about network conditions associated with the device in response to receipt of the portion. The method includes making, at the device, a determination based on the network data whether to download the particular chunk at a first quality level that is higher than the particular quality level based on the particular quality level and the data. The method includes, in response to the determination indicating to download the particular chunk at the first quality level: sending, to the content source from the device, a request for the particular chunk at the first quality level, and replacing the portion with the particular chunk at the first quality level.