Abstract: A method includes transmitting, via a transceiver, radar signals for object detection. The method includes determining whether a moving object is detected using received reflections of the radar signals corresponding to a current radar frame. In response to a determination that no moving object is detected using the current radar frame, the method includes determining whether a moving object is detected using received reflections of the radar signals corresponding to multiple radar frames. The method also includes generating a detection result indicating that (i) no moving object is detected using the multiple radar frames or (ii) the moving object is detected using either the current radar frame or the multiple radar frames.

Abstract: A method for radar full blockage detection includes transmitting, via a transceiver, radar signals for object detection. The method also includes determining whether an object is detected within a first threshold distance based on reflections of the radar signals that are received. In response to a determination that the object is detected within the first threshold distance, the method includes determining whether the object is detected beyond a second threshold distance, based on the reflections of the radar signals. The second threshold distance is further away from the electronic device than the first threshold distance. In response to determining that the object is within the first threshold distance and not detected beyond the second threshold distance, the method includes determining that the transceiver is fully blocked by the object. upon a determination that the transceiver is fully blocked, the method includes modifying a wireless communication operation associated with the transceiver.

Abstract: An electronic device includes a processor operably connected to a radar transceiver. The processor is configured to transmit, via the radar transceiver, radar signals to detect an object. The processor is also configured to detect the object using a single radar frame or multiple radar frames from the radar signals. The processor is further configured to determine whether to use the single radar frame or the multiple radar frames based on motion of the object for angle identification between the object and the electronic device. Additionally, the processor is configured to identify the angle using the single radar frame based on a determination to use the single radar frame or the multiple radar frames based on a determination to use the multiple radar frames. The processor is also configured to modify radio frequency exposure levels based on the angle of the object relative to the electronic device.

Abstract: A UE includes a transceiver. The transceiver is configured to perform network activity for the UE. The UE further includes a processor operably coupled to the transceiver. The processor is configured to determine whether a change in network activity for the UE exceeds a metric, and upon determination that the metric is exceed, initiate an anomalous event detection process, and determine whether an anomalous event is detected. The processor is further configured to, upon detection of an anomalous event, determine a network load level, and modify, based on the determined network load level, a connection configuration of the UE.

Abstract: A method and a wireless communication device for managing activation of radar modules in the device are disclosed herein. The device comprises a plurality of wireless communication modules, a plurality of radar modules, and a processor. The wireless communication modules comprise one or more antennas that are configured to transmit and receive wireless communication signals, and the radar modules comprise one or more antennas that are configured to transmit and receive radar signals. The processor is configured to determine which of the wireless communication modules are active, obtain spatial information comprising spatial positions within the device of the wireless communication modules and the radar modules, determine one or more transmission characteristics of the active wireless communication modules and the radar modules, determine a set of the plurality of radar modules to activate based on the spatial information and the transmission characteristics, and activate the determined set of radar modules.

Abstract: A method includes obtaining a gesture sample via a gesture classifier. The gesture sample includes parameters of features extracted from the radar signals based on user motion in performance of a gesture. The method includes determining whether to obtain feedback for a target gesture associated with the gesture sample. The method includes in response to a determination to obtain the feedback, obtaining the feedback for the target gesture. The feedback includes a label indicating a type of gesture. The method includes determining whether the gesture sample associated with the label is valid based on comparison to a dataset of pre-existing validated gesture samples and a distance threshold. The method includes in response to determining that the gesture sample associated with the label is valid, determining whether to update a model for the gesture classifier using the validated gesture sample as a training sample.

Abstract: An electronic device includes a transceiver configured to transmit and receive radar signals. The electronic device further comprises a processor operatively coupled to the transceiver. The processor is configured to adjust a field of view (FoV) associated with the transceiver based on a plurality of radar frames corresponding to the radar signals, extract a plurality of feature vectors from the plurality of radar frames based on the adjusted FoV. The processor is further configured to identify an activity based on the plurality of feature vectors, perform a gesture magnitude operation, and perform an action based on the gesture and a result of the gesture magnitude operation.

Abstract: A method of operating a UE includes receiving and transmitting traffic, over a time step, based on a first set of RF parameters received from a NW device. The method further includes classifying the traffic received and transmitted over the time step into a traffic class, selecting a second set of RF parameters based on the traffic class, estimating a throughput demand and a throughput supply, and determining, based on the estimated throughput demand and the estimated throughput supply, whether an anomalous traffic condition has occurred. The method further includes, if an anomalous traffic condition has not occurred, transmitting a request to the NW device to configure the UE with the second set of RF parameters, and if an anomalous traffic condition has occurred, transmitting a request to the NW device to configure the UE with a third set of RF parameters selected to alleviate the anomalous traffic condition.

Abstract: A method includes determining a preferred configuration of a user equipment (UE) based on side information about the UE. The method also includes sending the preferred configuration of the UE to a base station via a UE assistance information (UAI) framework. The method further includes receiving a new configuration of the UE from the base station after the base station determines the new configuration based on the preferred configuration. The method also includes configuring the UE according to the new configuration.

Abstract: Apparatuses and methods for traffic type based quality of experience (QoE) maintenance for mobile devices. A user equipment (UE) includes a transceiver. The transceiver is configured to receive and transmit traffic over a link with a wireless network. The UE further includes a processor operably coupled to the transceiver. The processor is configured to classify the traffic into at least one of real time (RT) traffic or non-real-time (NRT) traffic, generate a link deterioration prediction, select, based on the link deterioration prediction and the traffic class, a QoE maintenance action, and perform the QoE maintenance action.

Abstract: A user equipment (UE) includes a transceiver. The transceiver is configured to receive and transmit traffic, over a time step, via a wireless network. The UE further includes a processor. The processor is configured to determine a plurality of statistical features for the traffic received and transmitted over the time step, classify the traffic received and transmitted over the time step into a traffic class based on the statistical features and a traffic classification operation, determine a link condition, and select, based on the traffic class and the link condition, a set of preferred radio frequency (RF) parameters from a table. The transceiver is further configured to transmit UE assistance information (UAI) to the wireless network corresponding with the selected set of preferred RF parameters.

Abstract: A mobile access point (AP) includes a first wireless transceiver configured to transmit and receive traffic with a first mobile station (STA), a second wireless transceiver configured to transmit and receive traffic with a gNB, and a processor operably coupled to the first wireless transceiver and the second wireless transceiver. The processor is configured to route traffic between the first mobile STA and the gNB, and determine, based on a traffic classification operation, a class of the traffic. The processor is further configured to establish, based on the class of the traffic, a Target Wake Time (TWT) agreement between the mobile AP and the first mobile STA. The TWT agreement permits the first wireless transceiver to doze. The processor is further configured to determine, based on the class of the traffic, a continuous mode discontinuous reception (CDRX) configuration for the second wireless transceiver.

Abstract: A method, implemented by a processor coupled to a transceiver that transceives radar signals in a field of view (FoV), includes obtaining radar data based on the radar signals. The method includes, for each respective object among a set of objects detected: determining a set of parameters associated with the respective object, based on the radar signals; and selecting the respective object as a target that is within a region-of-interest (ROI), if the set of parameters satisfy a definition of the ROI. The set of parameters includes a normal angle of the respective object. The definition of the ROI is satisfied if the normal angle of the respective object is within a normal-angle threshold interval. The method includes tracking a state of the target with respect to the ROI to detect virtual interactions with a display area that is associated with an external display device and that overlaps the FoV.

Abstract: An electronic device includes a transceiver configured to transmit and receive radar signals and a processor operatively coupled to the transceiver. The processor is configured to identify, based on the received radar signals, a plurality of radar frames related to an activity of a target. The processor is further configured to extract a plurality of features from the plurality of radar frames, compute burst attributes for the extracted features, predict a gesture based on the burst attributes, determine whether the predicted gesture is a valid gesture, and if the predicted gesture is a valid gesture, perform an action corresponding to the predicted gesture.

Abstract: A method for end-to-end dynamic gesture recognition using mmWave radar is provided. The method includes triggering an electronic device to activate a gesture recognition mode in response to detecting that a condition for activating the gesture recognition mode is satisfied. The method includes obtaining radar data while the gesture recognition mode is activated, wherein the radar data includes time-velocity data (TVD). The method includes detecting a start and an end of a gesture based on the TVD of the obtained radar data. To classify the gesture, the method includes determining a gesture, from among a set of gesture, that corresponds to a portion of the TVD between the start and the end of the gesture. The method includes outputting an event indicator indicating that a user of the electronic device performed the gesture classified.

Abstract: A UE includes a processor configured to detect a type of service currently active at the UE based on a traffic history of the UE, determine UE status and sensor information, and determine a current communication configuration for the UE. The processor is further configured to, based on the service type, the UE status and sensor information, and the current communication configuration, predict a risk of the UE overheating; and based on the predicted risk of the UE overheating, identify a new communication configuration to propose for use by the UE. The UE further includes a transceiver operably coupled to the processor, the transceiver configured to transmit, to a BS, information indicating the new communication configuration.

Abstract: Methods and apparatuses for selecting beams. A method includes determining, based on a channel condition, whether to use an adaptive selection method or a cycling selection method to select a subset of a plurality of beams for a beam measurement; based on the channel condition being a first channel condition, using the adaptive selection method to select the subset of beams; and based on the channel condition being a second channel condition, using the cycling selection method to select the subset of beams. The method further includes performing the beam measurement on the selected subset of beams, generating beam measurement information based on the beam measurement on the selected subset of beams, and determining one or more of the plurality of beams to use for a wireless communication based on the beam measurement information.

Abstract: A method for warning a wearer of a pacemaker against potential electromagnetic interference by a radar-aided mobile device is provided. The method includes obtaining sensor data from a sensor of an electronic device. The method includes detecting electromagnetic interference (EMI) risk based on the sensor data obtained. The method includes determining whether a condition for executing an EMI risk mitigation function is satisfied, based on the detected EMI risk. The method includes, in response to determining that the condition for executing the EMI risk mitigation function is satisfied, performing the EMI risk mitigation function. In some embodiments, performing the EMI risk mitigation function includes at least one of: adjusting a radio frequency (RF) transmit power; and outputting an alert that warns a user of the electronic device about a pacemaker in relation to the detected EMI risk.

Abstract: A method includes obtaining a stream of radar data into a sliding input data window composed of recent radar frames from the stream. Each radar frame within the data window includes features selected from a predefined feature set and at least one of time-velocity data or time angle data. The method includes, for each radar frame within the data window, receiving a binary prediction indicating whether the radar frame includes a gesture end. The method includes in response to the binary prediction indicating that the radar frame includes the gesture end, triggering an early stop (ES) checker to determine whether an ES condition is satisfied. Determining whether the ES condition is satisfied comprises determining whether a noise frames condition and a valid activity condition are satisfied. The method includes in response to a determination that the ES condition is satisfied, triggering a gesture classifier to predict a gesture type.

Abstract: A method includes determining whether to activate one or more radar modules of a user equipment (UE) based on whether the UE performs initial access or beam failure recovery. The method also includes, in response to determining that the one or more radar modules are to be activated: activating all of the one or more radar modules in a time sequence, one or multiple radar modules at a time; determining a power backoff for at least one communication module of the UE; and determining a UE uplink (UL) beam, a UE downlink (DL) beam, a base station (BS) UL beam, and a BS DL beam based on the power backoff and a sweeping of beams of the UE. The sweeping occurs for the beams of the UE that have a power backoff that is less than a threshold.