Abstract:
A method, an apparatus, and a computer program product for data communication are provided. The method may include providing a frame of encoded data, generating a synchronization symbol to precede the encoded data when the frame is transmitted over a communication link, the synchronization symbol providing an identification of a type of the frame in accordance with an encoding scheme. The synchronization symbol may be encoded using a redundant coding scheme to support error correction for the identification of the type of frame. The frame may have a predefined fixed length.
Abstract:
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.
Abstract:
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.