Qualcomm Incorporated

Vidyut Naware

Parvathanathan Subrahmanya

Russel A Martin

Ketan N Patel

Joseph Czompo

Nitin Kasturi

Helena Deirdre O'Shea

Garret Shih

Hans Georg Gruber

Igor Tchertkov

Jason Alan Thurston

Eugene T Sy

Shashank Narayanan

Subra Dravida

Hithesh Reddivari

Methods, systems, computer-readable media, and apparatuses for beam management in a wireless communication system are presented. In some embodiments, a beam management subsystem in a moveable device selects a first antenna array and forms a first beam using the first antenna array for sending and receiving communication signals from a base station or other transceiver. A communication signal processing subsystem receives a first communication signal via the first beam. Upon movement of the moveable device, an inertial navigation subsystem determines a rotation vector associated with the movement. In response to the inertial navigation subsystem determining the rotation vector, the beam management subsystem selects a second antenna array using the rotation vector and forms a second beam directed toward the base station using the second antenna array. The communication signal processing subsystem can receive a second communication signal via the second beam.

Techniques for using rotation vectors for beam management in high frequency wireless networks

Disclosed embodiments pertain to cardiovascular parameter (e.g. heart rate) measurements when motion is present. Biometric sensor signal measurements may be obtained based on cardiovascular parameters of a user; and motion sensor signal measurements may be obtained based on user motion. An activity type may be determined based on the motion sensor signals. For example, when non-motion related frequencies in a frequency domain representation of the biometric sensor signal are obscured by user motion, an activity type may be determined based on the motion sensor signals. Further, based on the activity type, for each cardiovascular parameter (e.g. heart rate), a corresponding likely cardiovascular parameter value (e.g. a likely heart rate) may be determined. A corresponding fundamental frequency associated with the biometric sensor signal may then be determined for each cardiovascular parameter based on the motion sensor signal measurements and the corresponding likely cardiovascular parameter value.

Cardiovascular parameter estimation in the presence of motion

A method, an apparatus, and a computer program product for communication within a wireless terminal. The method can be implemented using dedicated logic and managed and controlled by state machines and/or sequencers. Data received or provided in a memory of a first integrated circuit of a terminal is encoded and transmitted in a data packet to a second integrated circuit. A header identifying the data type and providing a destination is included in the data packet. The destination may be identified as a memory address memory of the second integrated circuit that is mapped to a corresponding memory address of the first integrated circuit at which the data is received. In an aspect, the apparatus receives a header, detects an error in the received header, determines a failure to identify a packet boundary when the error is detected, and performs a search operation to identify the packet boundary.

Interprocessor communications systems and methods

Dynamically control of receive diversity switching in a user equipment (UE) is disclosed. By dynamically controlling the switching between enabling and disabling the receive diversity, power consumption in UEs, such as smart phones and other mobile devices may be reduced. Control is based, at least in part, on measurements for data activity performed by the UE. When the UE finds measurements that would suggest data activity, the UE will switch to enable a receive diversity state when conditions are available for the switch. Similarly, when the UE finds measurements that would suggest data inactivity, the UE will switch to disable the receive diversity state when conditions are available for the switch.

Dynamic receive diversity switching

User experiences on wireless devices are affected by communication, computation, and user interface capabilities. Another key performance indicator of a wireless device is its battery life. A method, algorithm and apparatus for improving the communication, computation and user interface capabilities of a mobile device is disclosed, which requires the expenditure of less energy and increases battery life. The trade-off between battery life and user experience related to the communication capability is managed by a protocol stack power optimization algorithm that optimally allocates energy resources. The power management algorithm inputs and combines measurements made at various layers of the protocol stack to selectively control a set of actions impacting energy usage. The algorithm maps from a set of measurements to a set of actions that provides the best trade-off between user experience and energy consumption.

Protocol stack power optimization for wireless communications devices

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Sunnyvale, CA, United States of America

Vidyut Naware