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..

Electron delocalization and charge mobility as a function of reduction in a metal–organic framework

Abstract: Conductive metal–organic frameworks are an emerging class of three-dimensional architectures with degrees of modularity, synthetic flexibility and structural predictability that are unprecedented in other porous materials. However, engendering long-range charge delocalization and establishing synthetic strategies that are broadly applicable to the diverse range of structures encountered for this class of materials remain challenging. Here, we report the synthesis of K x Fe2(BDP)3 (0 ≤ x ≤ 2; BDP2− = 1,4-benzenedipyrazolate), which exhibits full charge delocalization within the parent framework and charge mobilities comparable to technologically relevant polymers and ceramics. Through a battery of spectroscopic methods, computational techniques and single-microcrystal field-effect transistor measurements, we demonstrate that fractional reduction of Fe2(BDP)3 results in a metal–organic framework that displays a nearly 10,000-fold enhancement in conductivity along a single crystallographic axis. The attainment of such properties in a K x Fe2(BDP)3 field-effect transistor represents the realization of a general synthetic strategy for the creation of new porous conductor-based devices. A conducting metal–organic framework with charge delocalization by reductive potassium insertion is demonstrated. Integration into a field-effect transistor shows similar mobilities to semiconductors, with a mobility estimated to be at least 0.84 cm2 V–1 s–1.

The H I Mass Function of Galaxies from a Deep Survey in the 21 Centimeter Line

Abstract: The H I mass function (HIMF) for galaxies in the local universe is constructed from the results of the Arecibo H I Strip Survey, a blind extragalactic survey in the 21 cm line. The survey, consisting of two strips covering in total ~65 deg2 of sky, with a depth of cz = 7400 km s-1, was optimized to detect column densities of neutral gas NH I > 1018 cm-2 (5 σ). The survey yielded 66 significant extragalactic signals, of which approximately 50% are cataloged galaxies. No free-floating H I clouds without stars are found. VLA follow-up observations of all signals have been used to obtain better measurements of the positions and fluxes and to allow an alternate determination of the achieved survey sensitivity. The resulting HIMF has a shallow faint-end slope (α ≈ 1.2) and is consistent with earlier estimates computed for the population of optically selected gas-rich galaxies. This implies that there is not a large population of gas-rich low-luminosity or low-surface brightness galaxies that has gone unnoticed by optical surveys. The influence of large-scale structure on the determination of the HIMF from the Arecibo H I Strip Survey was tested by numerical experiments and was not found to affect the resulting HIMF significantly. The cosmological mass density of H I at the present time, determined from the survey, ΩH I(z = 0) = (2.0 ± 0.5) × 10-4 h-1, is in good agreement with earlier estimates. We determine lower limits for the average column densities NH I of the galaxies detected in the survey and find that none of the galaxies have NH I < 1019.7 cm-2, although there are no observational selection criteria against finding lower density systems. Eight percent of the signals detected in the original survey originated in groups of galaxies whose signals chanced to coincide in frequency.

Sensor based configuration and control of network devices

Abstract: A mobile device, such as a smartphone or a tablet computer, can execute functionality for configuring a network device in a communication network and for subsequently controlling the operation of the network device with little manual input. The mobile device can detect, from the network device, sensor information that is indicative of configuration information associated with the network device. The mobile device can decode the received sensor information to determine the configuration information and can accordingly enroll the network device in the communication network. In response to determining to control the enrolled network device, the mobile device can capture an image of the network device and can use the captured image to unambiguously identify the network device. The mobile device can establish a communication link with the network device and can transmit one or more commands to vary operating parameters of the network device.

Methods to discover, configure, and leverage relationships in internet of things (IoT) networks

Abstract: The disclosure generally relates to various methods to discover, configure, and leverage relationships in Internet of Things (IoT) networks. More particularly, the methods disclosed herein may support automated processes to create configurable sub-divisions and access controls in an IoT network based on usage associated with objects that are registered in the IoT network and interactions among the registered objects. Furthermore, in one embodiment, relationships between IoT devices that belong to different users may be implicitly discovered and/or ranked based on meetings (e.g., interactions) between the IoT devices, and relationships between the different users may likewise be implicitly discovered and/or ranked. Moreover, locations and interactions associated with IoT devices may be tracked over time to further discover user-specific and potentially asymmetric relationships among the IoT devices and/or the users associated therewith (e.g., where one user considers another user a close friend and the other user considers the first user an acquaintance).

Transmit diversity processing for a multi-antenna communication system

Abstract: For transmit diversity in a multi-antenna OFDM system, a transmitter encodes, interleaves, and symbol maps traffic data to obtain data symbols. The transmitter processes each pair of data symbols to obtain two pairs of transmit symbols for transmission from a pair of antennas either (1) in two OFDM symbol periods for space-time transmit diversity or (2) on two subbands for space-frequency transmit diversity. N T ·(N T −1)/2 different antenna pairs are used for data transmission, with different antenna pairs being used for adjacent subbands, where N T is the number of antennas. The system may support multiple OFDM symbol sizes. The same coding, interleaving, and modulation schemes are used for different OFDM symbol sizes to simplify the transmitter and receiver processing. The transmitter performs OFDM modulation on the transmit symbol stream for each antenna in accordance with the selected OFDM symbol size. The receiver performs the complementary processing.