Methods and systems for providing software applications on a client device with dynamic control over low-latency mode (LLM) operations of the client device. The client device may monitor downlink data packets of a client software application operating on the client device to detect trigger events. The client device may determine operating parameters of the modem based on a detected trigger event and dynamically adjust the low-latency mode of the modem based on the detect trigger event or the determined operating parameters.

A method is provided that determines whether to allow an application (app) for use or restrict the app on a set top box (STB). The method includes the steps of measuring at the STB, one or more resources used by the app; comparing at the STB, one or more thresholds set by an operator; and determining if the one or more resources used by the app exceed one or more thresholds set by the operator. Another method is provided that monitors applications (apps) that are installed a set top box (STB) for illegal or harmful activity by a policy manager. This method includes downloading and copying an app from an external source; installing or uninstalling the app into an application folder; providing a notification informing the policy manager of the installing or uninstalling of the app; and evaluating the app be installed or uninstalled.

Aspects of the subject disclosure may include, for example, a method in which a data-budget aware video streaming rate adaptation system receives information including a total data budget and a target quality level for a video streaming session presenting a video program; the video program has a plurality of tracks each encoding video content and including video content segments for successive presentation. The method also includes determining a target track for each of the video content segments; providing to a video streaming system the target track for a next successive video content segment; calculating a remaining data budget based on the total data budget and current data usage; and dynamically adjusting, in accordance with the remaining data budget, the target track for each remaining video content segment. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, embodiments that comprise obtaining a data budget associated with a communication session for streaming video content over a communication network from a video content server, determining a first portion of the data budget that is associated with a first segment of the video content, and obtaining quality information associated with the video content from the video content server over the communication network. Further embodiments can include identifying a first group of tracks for the first segment, and determining a first target quality for the first segment based on the first portion of the data budget and the quality information. Other embodiments are disclosed.

The present disclosure relates to an image display apparatus and a method thereof. The image display apparatus according to an embodiment of the present disclosure comprises: a display; an external device interface configured to perform short-range communication; and a controller configured to: when the number of external devices communicatively connected with the image display apparatus is one, or when a bandwidth usage for the short-range communication is less than a predetermined reference, transmit an entire signal to the one external device, when the number of the external devices is two or more, and the bandwidth usage is greater than or equal to the predetermined reference, acquire a plurality of channel signals from the entire signal; transmit a first channel signal to a first external device among the external devices; and transmit a second channel signal to a second external device among the external devices.

A method and test instrument for validating one or more out of band (OOB) channels in a CATV network, particularly one having a Remote PHY architecture. The method and test instrument may quickly and efficiently determine if an OOB channel is carrying valid data and is therefore “active.”

A mobile station may comprise a receiver to receive, from a base station, a broadcast signal indicating a TDD configuration of uplink OFDM symbols and downlink OFDM symbols. The receiver may receive an indication of a symbol range and a subchannel range for use in transmission of CQI feedback. The mobile station may receive first downlink data and transmit first uplink data, using the TDD configuration, wherein the first uplink data comprises CQI feedback information transmitted in accordance with the symbol range and the subchannel range. The receiver may receive second downlink data, from the base station, on a different frequency as the first uplink data is transmitted, while the first uplink data is transmitted.

In some embodiments, after receiving a first set of video segments of a video, a method starts a first computing instance and receives a video segment of the video using the first computing instance. A measurement is calculated based on receiving the video segment. The method uses the measurement to determine whether the first computing instance should continue to be used to receive video segments in the video or should be terminated to not receive video segments in the video.

Methods and systems are described for downloading media assets efficiently and quickly before loss of network connectivity. The method may allow a user to download portions of a media asset in different versions to download a maximum portion of the media asset before loss of network connectivity. Certain versions of media assets may be downloaded more quickly than other versions of media assets. The method may also allow a user to view partially downloaded media assets without network connectivity. The method may also replace portions of media assets downloaded in a first version with portions of the media assets in a second version once network connectivity is restored.

A method for streaming a 360 degree video over a communications network, wherein the video is streamed in a plurality of chunks, includes selecting a prediction window during which to predict a field of view within the video, the field of view is expected to be visible by a viewer at a time of playback of a next chunk of the video, wherein a duration of the prediction window is based on at least one condition within the communications network, selecting a machine learning algorithm to predict the field of view based on a head movement of the viewer, wherein the machine learning algorithm is selected based on the duration of the prediction window, predicting the field of view based on the head movement of the viewer and the machine learning algorithm, identifying a tile of the next chunk that corresponds to the field of view, and downloading the tile.