Qualcomm Incorporated

Other

Idreas Mir

Marcello Vincenzo Lioy

Thomas Klingenbrunn

Shailesh Maheshwari

Uppinder Singh Babbar

Irfan Anwar Khan

Srividhya Krishnamoorthy

Mathias Kohlenz

Samson Jim

Tim Liou

Sandeep Urgaonkar

Sivaramakrishna Veerepalli

Gurvinder Singh Chhabra

Rajiv K Vijayakumar

Senthil K Viswanathan

Scott Eduard Fischel

Liangchi Hsu

Vanitha Aravamudhan Kumar

Martin Renschler

R Nicholson Gibson

Mark Bapst

Jean-Marie Tran

Jeffrey Alan Dyck

Mehrad Tavakoli

Sriram Narayan

Mriganka Mondal

Sathyanarayan Madhusudan

Vikas Nagpal

Steven James Doerfler

Madhusudan Sathyanarayan

Sayeed Zaman Choudhury

Gerald J Chambers

Maurice Ribble

Shailesh Maheswari

Irfan A Khan

Jean-Marie Qd Tran

A method, system, and computer program for adaptively streaming multimedia content is disclosed. An adaptive stream manager monitors at least one parameter of a user terminal. The adaptive stream manager monitors at least one parameter of the user terminal and predicting a future value of at least one parameter of the user terminal. The adaptive stream manager also selects a target characteristic, based on the predicted future value of the at least one parameter of the user terminal, and requests a multimedia segment having the target characteristic from a media server.

Adaptively streaming multimedia

Efficient data processing apparatus and methods include hardware components which are pre-programmed by software. Each hardware component triggers the other to complete its tasks. After the final pre-programmed hardware task is complete, the hardware component issues a software interrupt.

Data mover moving data to accelerator for processing and returning result data based on instruction received from a processor utilizing software and hardware interrupts

Techniques for managing resources at a wireless device are described. In one aspect, the wireless device controls applications based on resource demands and available resources. Processing demands by the applications may be monitored, and at least one of the applications may be controlled based on the processing demands and a maximum processing capacity of a processing unit executing the applications. A data application may be controlled by reducing the amount of data exchanged by the application when high processing demands are detected, and vice versa. In another aspect, the wireless device varies resource capacity to match resources demands. The processing capacity of the processing unit may be adjusted based on the processing demands. Higher clock frequency may be selected for the processing unit when the processing demands exceed a high threshold, and lower clock frequency may be selected when processing demands fall below a low threshold.

Method and apparatus for managing resources at a wireless device

A method of establishing transmission control protocol (TCP) connections is disclosed and may include receiving a uniform resource locator (URL) as part of a hyper text transfer protocol (HTTP) request. Further, the method may include searching a host database with the URL and determining whether host data for the URL is available. The method may also include performing a domain name service (DNS) lookup for a URL host and for one or more sub-resource hosts, wherein all DNS lookups are performed in parallel at substantially the same time, when host data for the URL is available.

System and method of establishing transmission control protocol connections

Systems and methods for wireless communications are provided. These include data deciphering components, interrupt processing components, adaptive aggregations methods, optimized data path processing, buffer pool processing, application processing where data is formatted in a suitable format for a destination process, and Keystream bank processing among other hardware acceleration features. Such systems and methods are provided to simplify logic designs and mitigate processing steps during wireless network data processing.

Hardware acceleration for WWAN technologies

A generic quality of service (QoS) model that is not dependent on network technology is used to support QoS for communication networks utilizing different network technologies. The generic QoS model may include a superset of all QoS parameters for all network technologies being supported, e.g., 3GPP and 3GPP2. An application at a device may specify QoS for a traffic flow based on the generic QoS parameters in the superset. The generic QoS parameters may be converted to QoS parameters that are specific to a serving network. The converted QoS parameters are exchanged with the serving network and are used while exchanging traffic with the serving network.

Technology agnostic QoS support in a multi-mode environment

Multiple memory pools are defined in hardware for operating on data. At least one memory pool has a lower latency that the other memory pools. Hardware components operate directly on data in the lower latency memory pool.

Apparatus and method for memory management and efficient data processing

Techniques for controlling discontinuous transmissions in a wireless communication system are described. A method and apparatus for transmitting data on an uplink includes tracking past performance of at least one of an uplink channel condition and uplink system resources. A prediction of a likelihood of a completed or successful data transmission is performed. A long preamble is transmitted with an uplink control channel when the prediction indicates a likelihood of completion of the data transmission. When past performance indicates an unlikelihood of completing the transmission of the data, then the discontinuous mode is maintained without data transmission.

Method and apparatus for controlling discontinuous transmissions

Incoming data frames are parsed by a hardware component. Headers are extracted and stored in a first location along with a pointer to the associated payload. Payloads are stored in a single, contiguous memory location.

Apparatus and method for efficient memory allocation

Systems and methodologies are described that facilitate enhanced data service functionality for data services operating in a multi-processor computing environment. As described herein, respective processors and/or other components can be utilized to form a Smart Peripheral Subsystem (SPS). As further described herein, the SPS can operate in association with a modem processor and an application processor at a mobile computing device in order to reduce loading at the application processor and improve memory usage efficiency. In the case of a mobile computing device sharing a network connection with a tethered computing device, the SPS can couple a modem interface associated with the mobile computing device and an interface through which the disparate computing device is tethered to the mobile computing device such that operations such as Layer 2 (L2) framing and/or de-framing, Network Address Translation (NAT), or the like can be offloaded to the SPS under various circumstances.

Method and apparatus for managing data services in a multi-processor computing environment

Methods and apparatus are presented for extending the protocol synchronization period between a PPP client and a PPP server, wherein the PPP server is located on a wireless communication device. In one aspect, the PPP server generates and sends an IPCP Configure-Nak message to the PPP client whenever the PPP client sends an IPCP Configure-Request message, wherein an arbitrary non-zero value is deliberately sent as the primary DNS address, the secondary DNS address, the primary WINS address, or the secondary WINS address is sent in the IPCP Configure-Nak message. The IP address is deliberately omitted from the IPCP Configure-Nak message.

Avoiding PPP time outs during IPCP negotiations

Techniques to test a wireless communication link using configurable channels and rates. A W-Markov test service may be invoked to test and/or verify the performance of the downlink and/or uplink using at least one transport channel for each link. Each transport channel may be individually configured. The W-Markov test service supports generation of test data based on a defined data sequence or a pseudo-random number generator. The testing may be performed based on a particular deterministic or pseudo-random activity model. For voice call testing, a first-order Markov model may be used to model voice activity and to select the rate to use for each transmission time interval (TTI). For Adaptive Multi-Rate (AMR), testing may be performed based on configurable AMR rates and silence descriptor (SID) types. The test data generation processes are synchronized between the transmitter and receiver. Bit, frame, and/or block error rates and other statistics may be collected.

Method and apparatus for testing a wireless link using configurable channels and rates

Techniques to test a wireless communication link. A traffic channel is tested via a test data service option (TDSO) that may be negotiated and connected similar to other services. Test parameters values may be proposed, accepted or rejected, and negotiated. Test data for a channel is generated based on a defined data pattern or a pseudo-random number generator. Sufficient test data may be generated based on the generator for a test interval, stored to a buffer, and thereafter retrieved from a particular section of the buffer to form data block(s) for each 'active' frame. The traffic channel may be tested using discontinuous transmission. A two-state Markov chain determines whether or not to transmit test data for each frame. The average frame activity and average burst length are defined by selecting the probabilities for transitioning between the ON/OFF states of the Markov chain, which may be driven by a second generator.

Method and apparatus for testing wireless communication channels

Avoiding PPP time-outs during IPCP negotiations

Growing community of inventors

San Diego, CA, United States of America

Idreas Mir