Abstract:
In one embodiment, an HTTP streaming session may be initiated at a client device in a network. The client device may have a buffer and may be configured to request and receive one or more data segments over HTTP from an HTTP server. A first data segment at a first data source rate may be requested and subsequently received. The first data segment may be stored in the buffer. A second data source rate may then be calculated based on a storage level in the buffer, and a second data segment at the second data source rate may be requested.
Abstract:
A system includes an on-board unit (OBU) in communication with an internal subsystem in a vehicle on at least one Ethernet network and a node on a wireless network. A method in one embodiment includes receiving a message on the Ethernet network in the vehicle, encapsulating the message to facilitate translation to Ethernet protocol if the message is not in Ethernet protocol, and transmitting the message in Ethernet protocol to its destination. Certain embodiments include optimizing data transmission over the wireless network using redundancy caches, dictionaries, object contexts databases, speech templates and protocol header templates, and cross layer optimization of data flow from a receiver to a sender over a TCP connection. Certain embodiments also include dynamically identifying and selecting an operating frequency with least interference for data transmission over the wireless network.
Abstract:
Various implementations disclosed herein enable client devices to share a network resource in order to produce more evenly distributed perceptual playback quality levels within each subscription tier. Sharing of a network resource is facilitated by providing client devices with one or more QoE distribution indicator values, which enables client device participation in the allocation of the network resource. In some implementations, a client device method includes determining a local QoE level value, and then modifying a representation selection of media content data based on the local QoE and one or more QoE distribution indicator values. The local QoE level value characterizes perceptual playback quality of media content data received by the client device using the shared network resource. The QoE distribution indicator values characterize at least in part the relative QoE values associated with a plurality of client devices sharing the shared network resource with the client device.
Abstract:
Previously known network management methods are incapable of concertedly managing respective levels of perceptual playback quality of media content data for a number client devices. In particular, previously known methods fail to regulate ABR-enabled client devices and the like that are each operating to individually consume as much of one or more shared network resources as possible without regard to the degree performance improvements. By contrast, various implementations disclosed herein provide network-centric concerted management of respective levels of perceptual playback quality of media content data on each of a number of client devices. The respective levels perceptual playback quality are concertedly managed by adjusting one or more shared network resources (e.g., bandwidth, processor time, memory, etc.). Adjustments are made in response to an aggregate quality of experience (QoE) metric characterizing a distribution of QoE levels for the client devices sharing the one or more shared network resources.
Abstract:
An access point (AP) is configured to transmit packets to a client device over a communication channel. The AP determines a motion indictor indicative of motion of the client device based on a sequence of channel state information measurements, and measures a signal-to-noise ratio (SNR). The AP selects a transmission parameter among candidate transmission parameters using a learning-based algorithm based on observation parameters including the motion indicator, the SNR, and a device identifier for the client device. The AP employs the transmission parameter to transmit packets to the client device, and measures a transmission performance associated with the transmission parameter based on the transmitted packets. The AP updates the learning-based algorithm based on the observation parameters and the transmission performance for a next pass through the selecting, the employing, and the measuring.
Abstract:
A controller of a network, including routers to forward flows of packets originated at senders to receivers along distinct network paths each including multiple links, such that the flows merge at a common link that imposes a traffic bottleneck on the flows, receives from one or more of the routers router reports that each indicate an aggregate packet loss that represents an aggregate of packet losses experienced by each of the flows at the common link. The controller sends to the senders aggregate loss reports each including the aggregate packet loss so that the senders have common packet loss information for the common link on which to base decisions as to whether to switch from delay-based to loss-based congestion control modes when implementing dual-mode congestion control of the flows. In lieu of the controller, another example employs in-band router messages populated with packet losses by the routers the messages traverse.
Abstract:
In various implementations, a method includes determining a sequence of source packets. In some implementations, the sequence of source packets satisfies a windowing condition. In various implementations, the method includes synthesizing a first set of one or more parity packets as a function of a first set of source packets in the sequence. In some implementations, the first set of source packets satisfies a first encoding pattern. In various implementations, the method includes synthesizing a second set of parity packets as a function of a second set of source packets in the sequence. In some implementations, the second set of source packets satisfies a second encoding pattern that is different from the first encoding pattern. In some implementations, the first and second encoding patterns characterize an encoding structure determined as a function of a channel characterization vector.
Abstract:
Various implementations disclosed herein enable a more efficient allocation of one or more shared network resources (e.g., bandwidth, memory, processor time, etc.) amongst a number of client devices based on media content data complexity and client device resource constraints in order to better manage perceptual playback quality of adaptive streaming content. In some implementations, a method includes aligning sequences of one or more temporal segments such that time boundaries of temporal segments across the sequences are in alignment; and, selecting segment representations for each temporal segment based on a combination of the sequence alignment and perceptual quality level values associated with available segment representations, such that a combination of resulting perceptual quality levels satisfies a joint quality criterion. Each sequence is associated with a respective one of a number of client devices sharing a network resource and an instance of a respective video stream. The one or more temporal segments of each sequence are used to provide segment representations of media content data to one of the client devices. The alignment of time boundaries of temporal segments is achieved at least in part by adjusting performance characteristics associated with at least some of the one or more temporal segments.
Abstract:
A methodology includes determining coarse location coordinates for a mobile device, anchoring the coarse location coordinates to a map, receiving inertial measurement unit data supplied by the mobile device, wherein the inertial measurement unit data is indicative of relative location coordinates of the mobile device, generating an unanchored path of the mobile device based on the relative location coordinates, and anchoring the unanchored path of the mobile device to the map in a position that optimizes a match between the coarse location coordinates and the relative location coordinates of the mobile device.
Abstract:
A methodology includes determining coarse location coordinates for a mobile device, anchoring the coarse location coordinates to a map, receiving inertial measurement unit data supplied by the mobile device, wherein the inertial measurement unit data is indicative of relative location coordinates of the mobile device, generating an unanchored path of the mobile device based on the relative location coordinates, and anchoring the unanchored path of the mobile device to the map in a position that optimizes a match between the coarse location coordinates and the relative location coordinates of the mobile device.