Qualcomm

About: Qualcomm is a company organization based out in Farnborough, United Kingdom. It is known for research contribution in the topics: Wireless & Signal. The organization has 19408 authors who have published 38405 publications receiving 804693 citations. The organization is also known as: Qualcomm Incorporated & Qualcomm, Inc..

Method and apparatus for the formatting of data for transmission.

Abstract: A method and apparatus for arranging various types of data, and at various rates, into a uniquely structured format for transmission. Data for transmission formatting may be speech data provided by vocoder (14) or different types of secondary traffic. The data organized into frames of a predetermined time duration for transmission by a microprocessor (18). The data frames are organized, depending on the data, to be at one of several data rates. Vocoder data is provided by vocoder (14) at one of several data rates and is organized in the frame according to a predermined format. Frames may be formatted with a sharing of vocoder data with non-vocoder data to be at a highest frame data rate. Different types of non-vocoder data may be organized so as to also be at the highest frame data rate. Additional control data may be provided within the data frames to support various aspects of the transmission and recovery upon reception.

Wireless power transfer for vehicles

Abstract: Exemplary embodiments are directed to wireless power transfer. A power transmitting device is attached to an existing vehicle item or is embedded in a vehicle element. The power transmitting device includes a transmit antenna to wirelessly transfer power to a receive antenna by generating a near-field radiation within a coupling-mode region. An amplifier applies a driving signal to the transmit antenna. A presence detector may detect a presence of a receiver device within the coupling-mode region. The presence detector may also detect a human presence. An enclosed compartment detector may detect when the vehicle element is in a closed state. A power output may be adjusted in response to the closed state, the presence of a receiver device, and the presence of a human.

Performance Analysis of ZF and MMSE Equalizers for MIMO Systems: An In-Depth Study of the High SNR Regime

Abstract: This paper presents an in-depth analysis of the zero forcing (ZF) and minimum mean squared error (MMSE) equalizers applied to wireless multiinput multioutput (MIMO) systems with no fewer receive than transmit antennas. In spite of much prior work on this subject, we reveal several new and surprising analytical results in terms of output signal-to-noise ratio (SNR), uncoded error and outage probabilities, diversity-multiplexing (D-M) gain tradeoff and coding gain. Contrary to the common perception that ZF and MMSE are asymptotically equivalent at high SNR, we show that the output SNR of the MMSE equalizer (conditioned on the channel realization) is ρmmse = ρzf+η\ssrsnr, where ρzf is the output SNR of the ZF equalizer and that the gap η\ssrsnr is statistically independent of ρzf and is a nondecreasing function of input SNR. Furthermore, as \ssr snr\ura ∞, η\ssrsnr converges with probability one to a scaled F random variable. It is also shown that at the output of the MMSE equalizer, the interference-to-noise ratio (INR) is tightly upper bounded by [(η\ssrsnr)/(ρzf)]. Using the decomposition of the output SNR of MMSE, we can approximate its uncoded error, as well as outage probabilities through a numerical integral which accurately reflects the respective SNR gains of the MMSE equalizer relative to its ZF counterpart. The e-outage capacities of the two equalizers, however, coincide in the asymptotically high SNR regime. We also provide the solution to a long-standing open problem: applying optimal detection ordering does not improve the D-M tradeoff of the vertical Bell Labs layered Space-Time (V-BLAST) architecture. It is shown that optimal ordering yields a SNR gain of 10log10N dB in the ZF-V-BLAST architecture (where N is the number of transmit antennas) whereas for the MMSE-V-BLAST architecture, the SNR gain due to ordered detection is even better and significantly so.

Pinatubo: a processing-in-memory architecture for bulk bitwise operations in emerging non-volatile memories

Abstract: Processing-in-memory (PIM) provides high bandwidth, massive parallelism, and high energy efficiency by implementing computations in main memory, therefore eliminating the overhead of data movement between CPU and memory. While most of the recent work focused on PIM in DRAM memory with 3D die-stacking technology, we propose to leverage the unique features of emerging non-volatile memory (NVM), such as resistance-based storage and current sensing, to enable efficient PIM design in NVM. We propose Pinatubo1, a Processing In Non-volatile memory ArchiTecture for bUlk Bitwise Operations. Instead of integrating complex logic inside the cost-sensitive memory, Pinatubo redesigns the read circuitry so that it can compute the bitwise logic of two or more memory rows very efficiently, and support one-step multi-row operations. The experimental results on data intensive graph processing and database applications show that Pinatubo achieves a ∼500 x speedup, ∼28000x energy saving on bitwise operations, and 1.12× overall speedup, 1.11× overall energy saving over the conventional processor.

Optimization of wireless power devices

Abstract: Exemplary embodiments are directed to wireless power. A chargeable device may comprise receive circuitry for coupling to a receive antenna. The receive circuitry may comprise at least one sensor to sense one or more parameters associated with the chargeable device. Further, the receive circuitry may comprise a tuning controller operably coupled to the at least one sensor to generate one or more tuning values in response to the one or more sensed parameters. Additionally, the receive circuitry may comprise a matching circuit operably coupled to the tuning controller for tuning the receive antenna according to the one or more tuning values.