Samsung Electronics Co., Ltd.

Texas Instruments Corporation

Wenxun Qiu

Boon Loong Ng

Vutha Va

Abhishek Sehgal

Timothy M Schmidl

Guanbo Chen

Khuong N Nguyen

Anuj Batra

Minghua Fu

Peshal Nayak

Jianhua Mo

Hao Chen

Tomas Motos

Jianzhong Zhang

Rubayet Shafin

Marius Moe

Yumin Zhang

Han Wang

Kuldeep Gill

Sungchul Park

Junsu Choi

Namjoon Park

Pengda Huang

Eric Earl Johnson

Matthew Tonnemacher

Jihoon Sung

Junyeop Jung

In-sick Jung

Prasad P Netalkar

John Wensowitch

Timothy Mark Schmidl

An electronic device and a method for gesture recognition are disclosed. The electronic device includes a radar transceiver and a processor operably connected to the radar transceiver. The processor is configured to detect a triggering event. In response to detecting the triggering event, the processor is configured to transmit, via the radar transceiver, radar signals. The processor is also configured to identify a gesture from reflections of the radar signals received by the radar transceiver. The processor is further configured to determine whether the gesture is associated with the triggering event. Based on determining that the gesture is associated with the triggering event, the processor is configured to perform an action indicated by the gesture.

Methods for gesture recognition and control

A method for localization includes obtaining a request to localize an electronic device within an area, wherein the area includes a set of anchors. The method also includes transmitting a first message to the electronic device and a second message to the set of anchors. the first message includes a time for the electronic device to transmit a measurement signal and the second message includes the time for the set of anchors to receive the measurement signal from the electronic device. The method further includes receiving, from the set of anchors, signal information associated with the measurement signal. Additionally, the method includes identifying a location of the electronic device within the area based on the signal information. The method also includes transmitting, to the electronic device, the location of the electronic device within the area.

Method and apparatus for in-house RF-based collaborative localization with automated data collection

Embodiments of the present disclosure provide methods and apparatuses for adjusting target wake time (TWT) parameters, and in particular a TWT interval. An apparatus comprises a transceiver and a processor operably coupled to the transceiver. The transceiver is configured to receive WI-FI traffic for an application in a target wake time (TWT) operation. The processor is configured to identify whether a state of the electronic device is idle or active based on at least one of a traffic statistic related to the WI-FI traffic or an application identifier of the application and adjust a TWT interval of the TWT operation based on the state.

Apparatus and method for interval adjustment for WI-FI target wake time

A method includes obtaining statistical information of incoming network traffic. The method also includes using a state machine to classify the incoming network traffic as a traffic pattern based on the statistical information. The method further includes using the traffic pattern to adapt one or more Target Wakeup Time (TWT) parameters to optimize power consumption of a Wi-Fi station. The traffic pattern includes at least one of bursty traffic, random traffic, and stable traffic.

System and method for traffic type detection and Wi-Fi target wake time parameter design

A method includes obtaining network traffic information based on network traffic received during a time window. The method also includes determining a network service type using a machine learning classification system operating on the network traffic information. The method also includes determining a latency requirement based on the network service type. The method also includes adjusting one or more Target Wakeup Time (TWT) intervals and a wake duration based on the latency requirement to optimize power consumption of a Wi-Fi station.

System and method for determining Wi-Fi target wake time wake interval based on network traffic service

Embodiments of the present disclosure provide methods and apparatuses for obtaining timing information and performing a time offset adjustment for target wake time (TWT) operations in a wireless network. The apparatuses include a first communication device comprising a transceiver and a processor operably coupled to the transceiver. The transceiver is configured to transmit, during a target wake time (TWT) setup phase, a TWT element including a request for information on a traffic delay of a second communication device and receive the information on the traffic delay. The processor is configured to determine a time offset to adjust a start time of a next TWT interval based on the information on the traffic delay.

Apparatus and method for traffic delay information request and traffic offset alignment

A method includes obtaining wireless traffic statistics indicating current conditions and future trends for at least one of throughput, latency, and device power consumption. The method also includes generating penalty functions that reflect the wireless traffic statistics. The method further includes determining a target wakeup time (TWT) interval based on the penalty functions. The method also includes adapting the TWT interval based on a change in the wireless traffic statistics.

System and method for throughput-based optimization for target wake time interval adjustment

Embodiments of the present disclosure provide methods and apparatuses for requesting traffic characteristics in a wireless network. The apparatuses include a wireless station (STA) device comprising a transceiver and a processor operably coupled to the transceiver. The transceiver is configured to transmit and receive signals. The processor is configured to generate a traffic profile request element that comprises an indication of a request for an access point (AP) to provide, to the STA, traffic characteristics, as observed at the AP, of downlink (DL) traffic between the AP and the STA. The transceiver is further configured to transmit to the AP the traffic profile request element. The requested traffic characteristics are used to determine target wake time (TWT) parameters for a TWT operation between the AP and the STA.

Method and apparatus for exchanging traffic characteristics information in WI-FI systems

A wireless communication device comprising a processor configured to obtain first information on network conditions and second information on packets delivered to another communication device during a current target wake time (TWT) session, and to update a TWT service period (SP) duration for a future TWT session based on the first information and the second information.

Adaptive adjustment for target wake time duration configuration

Embodiments of the present disclosure provide methods and apparatuses for updating a target wake time (TWT) service period and interval. The apparatuses include a communication device comprising a transceiver and a processor. The transceiver is configured to transmit and receive higher layer data packets in a TWT operation during a time period. The processor is configured to determine, based on PHY data rates during the time period, effective higher layer data rates, estimate an initial data transceiving time based on the effective higher layer data rates and total lengths of the data packets, adjust the initial data transceiving time to obtain a higher layer data transceiving time based on an estimated network congestion level, an estimated re-transmission rate, and a total amount of TWT overhead during the time period, and determine a new TWT service period and interval based on the higher layer data transceiving time.

Apparatus and method for target wake time parameter design

A method and electronic device for updating a leakage response for leakage cancelation. The electronic device includes a radar transceiver, a memory, and a processor. The processor is configured to determine whether an object is within proximity of and within a field of view of the radar transceiver, obtain a leakage measurement for the radar transceiver in response to determining that no object is proximate to and within the field of view of the radar transceiver, and update the leakage response for leakage cancelation based on the leakage measurement.

Radar leakage measurement update

Methods and electronic devices for target detection and tracking operations are provided. A method of operating an electronic device includes identifying, based on signals received through a radar transceiver of the electronic device, a peak of the received signals in a current time slot, determining whether the peak in the current time slot corresponds to a tracked target based on comparing a location of the peak in the current time slot with a location of a peak corresponding to the tracked target in a previous time slot as a function of a movement speed threshold, and in response to a determination that the peak in the current time slot corresponds to the tracked target, updating tracking information for the tracked target associated with the peak in the current time slot.

Target detection and tracking for feature extraction

A technique of separating a sequence of modulation shift keying (MSK) symbols into a first portion and a second portion and separately comparing the first portion of the sequence of MSK symbols and the second portion of the sequence of MSK symbols against a first portion of a reference sequence of MSK symbols and a second portion of the reference sequence of MSK symbols allows a low complexity detection of a start field delimiter in a wireless communication packet.

Low-complexity synchronization header detection

An electronic device for gesture recognition, includes a processor operably connected to a transceiver. The transceiver is configured to transmit and receive signals for measuring range and speed. The processor is configured to transmit the signals, via the transceiver. in response to a determination that a triggering event occurred, the processor is configured to track movement of an object relative to the electronic device within a region of interest based on reflections of the signals received by the transceiver to identify range measurements and speed measurements associated with the object. The processor is also configured to identify features from the reflected signals, based on at least one of the range measurements and the speed measurements. The processor is further configured to identify a gesture based in part on the features from the reflected signals. Additionally, the processor is configured to perform an action indicated by the gesture.

Adaptive thresholding and noise reduction for radar data

An electronic device, a method, and computer readable medium are disclosed. The method includes transmitting radar signals via a radar transceiver. The method also includes identifying signals of interest that represent biometric information of a user based on reflections of the radar signals received by the radar transceiver. The method further includes generating an input based on the signals of interest that include the biometric information. The method additionally includes extracting a feature vector based on the input. The method also includes authenticating the user based on comparison of the feature vector to a threshold of similarity with preregistered user data.

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Allen, TX, United States of America

Wenxun Qiu