Intel Corporation

At&t Intellectual Property I, L.p.

Apple Inc.

Intel IP Corporation

Vishwanath Ramamurthi

Ozgur Oyman

Mohamed M Rehan

Raghvendra Savoor

Sarat Puthenpura

Ravi Raina

Gopalakrishnan Meempat

Stuart Blackburn

Dipak Ghosal

Huahui Wang

Rana A Morsi

Ahmed N Ragab

Hassnaa Moustafa

Masoud Sajadieh

Jeffery R Foerster

Nikita Degotinsky

Hauhui Wang

Ahmed Ragab

Technology to provide link aware streaming adaptation is disclosed. In an example, a mobile device can include one or more processors configured to: process a manifest file for an HTTP adaptive stream that is received at the mobile device from a node; determine a physical layer goodput of the mobile device with the node for the HAS; identify a segment throughput estimate for the HAS; and select a representation in the manifest file for a selected period based, on the physical layer goodput for the HAS and the segment throughput for the HAS.

Link-aware streaming adaptation

Technology to provide improved quality-of-experience-aware multimedia streaming is disclosed. Several types of communications that can be made between clients and servers are described. These communications enable improvements to current approaches that are used to achieve hyper-text transfer protocol (HTTP) adaptive streaming. These messages can be used in conjunction with computer circuitry configured to: determine a bandwidth available to the server for transmitting HTTP adaptive streaming content to a plurality of clients; receive HTTP requests from the plurality of clients for representations offered by the server in a manifest file for the HTTP adaptive streaming; and calculate an availability of each representation that is offered in the manifest file for the server. The availability can be calculated, at least in part, based on the determined bandwidth. The availability of each representation can be communicated from the server to the plurality of clients.

Client/server signaling commands for dash

Technology to provide link aware streaming adaptation is disclosed. In an example, a mobile device can include computer circuitry configured to: receive a manifest file for an HTTP adaptive stream from a node; determine a physical layer goodput of the mobile device with the node; and select a representation in the manifest file for a selected period based, at least in part, on the physical layer goodput.

A mobile terminal device may include a radio processing circuit and a baseband processing circuit adapted to interact with the baseband processing circuit. The mobile terminal device may be configured to calculate a plurality of inverse frequency transforms with inputs of a plurality of samples of a frequency-domain signal sequence to generate a plurality of intermediate transforms, wherein each of the plurality of intermediate transforms are composed of a respective plurality of samples, combine the respective plurality of samples of each of the plurality of intermediate transforms to generate a time-domain representation of the frequency-domain signal sequence, generate a random access preamble with the time-domain representation of the frequency-domain signal sequence, and transmit the random access preamble.

Mobile terminal device and method for processing signals

A method, computer readable medium and apparatus for calculating a capacity for high speed packet access data in a link in a communications network are disclosed. For example, the method initializes parameters associated with streaming data, long elastic data and short elastic data, determines, via a processor, a capacity value such that a quality of service metric is met for the streaming data, the long elastic data and the short elastic data and provisions the link with the capacity value if the quality of service metric is met.

Method and apparatus for capacity dimensioning in a communication network

The increasing amount of internet traffic from video streaming services, in addition to users requesting more personalized content and creating/sharing video content, has led to a huge demand for highly scalable and efficient distribution of video content, especially with mobile computing devices. Embodiments provide a network and service infrastructure better suited to these video content distribution and mobility needs. More intelligence is provided in the network infrastructure through an awareness of the user status/activity, end-user device, and content characteristics in correlation with the network bandwidth conditions. In this view of adding more intelligence in the network, additional communication is utilized between the service platform and the network to identify content characteristics (e.g., video content, content encoding characteristics), network characteristics, and device characteristics.

Context-aware resource management for video streaming services

Generally discussed herein are systems and apparatuses that are configured for scheduling device access to a cellular network resource. Also discussed herein are techniques of making and using the systems and apparatuses. According to an example a technique may include computing a media buffer level difference based on a current and previous buffer level of the device, computing a priority token parameter for the device based on the buffer level change rate, computing a priority of the device's access to the cellular network resources based on the priority token parameter, and scheduling the device time to access the cellular network resources based on the computed priority.

Buffer-aware radio resource management

Growing community of inventors

Sunnyvale, CA, United States of America

Vishwanath Ramamurthi