Abstract: A range Doppler angle detection method executed by a range Doppler angle detection device includes steps of: receiving a first sensing signal and a second sensing signal; performing 1D Fast Fourier Transform (FFT) and 2D FFT to the first sensing signal for calculating one first 2D FFT map; performing the 1D FFT and the 2D FFT to the second sensing signal for calculating one second 2D FFT map; picking up one column of the first 2D FFT map and one column of the second 2D FFT map according to a given Doppler index; performing the 3D FFT to the picked column of the first 2D FFT map and the picked column of the second 2D FFT map for calculating a range Doppler angle. Therefore, a computation loading of the gesture recognition function can be reduced.

Abstract: Aspects of the disclosure provide an electronic device including a transceiver and processing circuitry and a method for wireless communication. The transceiver is configured to receive configuration information for physical uplink control channel (PUCCH) resource configuration from a network in a wireless communication system. The configuration information can indicate a first interlace that includes a first set of frequency domain physical resources. The processing circuitry is configured to determine resource allocation in a frequency domain for the PUCCH resource based at least on the first interlace. The transceiver can transmit uplink control information (UCI) on a PUCCH resource.

Abstract: The invention discloses an oscillator, including a voltage switching circuit, a voltage adjustment circuit and a frequency generation circuit. The voltage switching circuit receives an output voltage signal whereby the output voltage signal switches a first input voltage signal to a first voltage level signal and switches a second input voltage signal to a second voltage level signal. The voltage adjustment circuit receives the first voltage level signal and the second voltage level signal, whereby the first voltage level signal and the second voltage level signal generate the first adjustment voltage signal and the second adjustment voltage signal. The frequency generation circuit is connected to the voltage adjustment circuit, and receives the first adjustment voltage signal and the second adjustment voltage signal to generate the first output frequency signal and the second output frequency signal according to the first adjustment voltage signal and the second adjustment voltage signal.

Abstract: Examples pertaining to reserving channel by cyclic prefix (CP) extension for alignment with a symbol boundary in mobile communications are described. An apparatus extends a CP of a symbol to result in an extended symbol that aligns with a timing reference. The apparatus then transmits the extended symbol.

Abstract: A method of a hybrid automatic repeat request acknowledgement (HARQ-ACK) feedback mechanism includes receiving at a user equipment (UE) one or more first downlink control informations (DCIs) associated with first downlink transmissions belonging to a first HARQ-ACK feedback group. One of the first DCIs requests one or more second HARQ-ACK feedback groups to be acknowledged over a HARQ-ACK transmission opportunity (TxOP). A HARQ-ACK feedback for the first HARQ-ACK feedback group and the one or more second HARQ-ACK feedback groups is transmitted over the HARQ-ACK TxOP.

Abstract: A performing device of an impulse-like gesture recognition system executes an impulse-like gesture recognition method. A performing procedure of the impulse-like gesture recognition method includes steps of: receiving a sensing signal from a sensing unit; determining a prediction with at least one impulse-like label according to the sensing frames by a deep learning-based model; and classifying at least one gesture event according to the prediction. The gesture event is classified to determine the motion of the user. Since the at least one impulse-like label is used to label at least one detection score of the deep learning-based model, the detection score is non-decreasing, reaction time of the at least one gesture event for an incoming gesture is fast, rapid consecutive gestures are easily decomposed, and an expensive post-processing is not needed.

Abstract: Techniques and examples of efficient detection of a transmission session in New Radio unlicensed spectrum (NR-U) are described. An apparatus (e.g., user equipment (UE)) detects presence of an indication from a base station of a wireless network in an NR-U. The apparatus determines that a transmission opportunity (TXOP) follows the indication responsive to the detecting. The apparatus then receives a downlink (DL) transmission in the NR-U from the base station during the TXOP.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a UE. The UE receives, from a base station, one or more downlink reference signals on an unlicensed carrier. The UE determines that the base station occupies the unlicensed carrier for a predetermined first channel occupancy time based on the one or more downlink reference signals. The UE receives, on the unlicensed carrier and in the predetermined first channel occupancy time, a control burst including a plurality of down link control channels. The UE attempts to decode a first down link control channel directed to the UE from the control burst.

Abstract: Techniques and examples of efficient detection of a transmission session in New Radio unlicensed spectrum (NR-U) are described. An apparatus (e.g., user equipment (UE)) detects presence of an indication from a base station of a wireless network in an NR-U. The apparatus determines that a transmission opportunity (TXOP) follows the indication responsive to the detecting. The apparatus then receives a downlink (DL) transmission in the NR-U from the base station during the TXOP.

Abstract: An apparatus (e.g., a user equipment (UE)) maps a plurality of mutually orthogonal sequences to each of a plurality of physical resource blocks (PRBs) within an interlace. The apparatus then performs a physical uplink control channel (PUCCH) transmission in a New Radio unlicensed spectrum (NR-U). The apparatus also receives an assignment of a set of sequences for each PRB of the plurality of PRBs from a wireless network. In response, the apparatus performs an uplink control information (UCI) transmission via the PUCCH in the NR-U.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a UE. The UE receives, through a non-physical layer signaling, a configuration indicating to receive a first reference signal in a set of OFDM symbols in a first slot. The UE attempts to detect a physical layer signaling in the first slot or in a second slot prior to the first slot. The UE refrains from conducting measurements of the first reference signal, when the physical layer signaling is detected by the UE and includes a first indication.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and UE are provided. The UE receive a configuration from a base station, the configuration indicating one or more constraints for constructing and transmitting a multiple-access signature. The UE then constructs the multiple-access signature in accordance with the one or more constraints. The UE autonomously transmits the multiple-access signature to the base station in accordance with the one or more constraints.

Abstract: Techniques and examples of channel multiplexing within interlace for New Radio (NR) unlicensed spectrum (NR-U) operation are described. An apparatus (e.g., user equipment (UE)) determines which sub-interlace of multiple sub-interlaces in each of a plurality of interlaces is assigned to the apparatus. The apparatus then performs an uplink (UL) transmission to a wireless network in an NR-U using the assigned sub-interlace in each of the plurality of interlaces. Each of the plurality of interlaces may be divided into respective multiple sub-interlaces with channel multiplexing.

Abstract: A gesture recognition system executes a gesture recognition method which includes the following steps: receiving a sensing signal; selecting one of the sensing frames from the sensing signal; generating a sensing map by applying 2D FFT to the selected sensing frame; selecting a cell having a largest amplitude in the sensing map; calculating the velocity of the cell and setting the velocity of the selected sensing frame to be the velocity of the cell; labeling the selected sensing frame as a valid sensing frame if the velocity of the selected sensing frame exceeds a threshold value, otherwise labeling the selected sensing frame as an invalid sensing frame; using all of the sensing maps of the valid sensing frames in the sensing signal as the input data for the neural network of the gesture recognition system and accordingly performing gesture recognition and gesture event classification.

Abstract: A gesture recognition system executes a gesture recognition method. The gesture recognition method includes steps of: receiving a training signal; selecting one of the sensing frames of the sensing signal; generating a sensing map; selecting a cell having the max-amplitude; determining a frame amplitude, a frame phase, and a frame range of the selected one of the sensing frames; setting the frame amplitudes, the frame phases, and the frame ranges of all of the sensing frames to input data of a neural network to classify a gesture event. The present invention just uses a few data to be the input data of the neural network. Therefore, the neural network may not require high computational complexity, the gesture recognition system may decrease the calculation load of the processing unit, and the gesture recognition function may not influence a normal operation of a smart device.

Abstract: A performing device of a gesture recognition system for reducing a false alarm rate executes a performing procedure of a gesture recognition method for reducing the false alarm rate. The gesture recognition system includes two neural networks. A first recognition neural network is used to classify a gesture event, and a first noise neural network is used to determine whether the sensing signal is the noise. Since the first noise neural network can determine whether the sensing signal is the noise, the gesture event may not be executed when the sensing signal is the noise. Therefore, the false alarm rate may be reduced.

Abstract: Examples pertaining to reserving channel by cyclic prefix (CP) extension for alignment with a symbol boundary in mobile communications are described. An apparatus extends a CP of a symbol to result in an extended symbol that aligns with a timing reference. The apparatus then transmits the extended symbol.

Abstract: A gesture recognition system using siamese neural network executes a gesture recognition method. The gesture recognition method includes steps of: receiving a first training signal to calculate a first feature; receiving a second training signal to calculate a second feature; determining a distance between the first feature and the second feature in a feature space; adjusting the distance between the first feature and the second feature in feature space according to a predetermined parameter. Two neural networks are used to generate the first feature and the second feature, and determine the distance between the first feature and the second feature in the feature space for training the neural networks. Therefore, the gesture recognition system does not need a big amount of data to train one neural network for classifying a sensing signal. A user may easily define a new personalized gesture.

Abstract: A method for compressing an initial weight matrix includes generating a first weight matrix and a second weight matrix according to the initial weight matrix where the initial weight matrix is a Kronecker product of a transposed matrix of the second weight matrix and the first weight matrix; optimizing the first and second weight matrixes to generate an optimized first weight matrix and an optimized second weight matrix; generating a processed data matrix according to an initial data matrix where the initial data matrix is vectorization of the processed data matrix; multiplying the processed data matrix by the optimized first weight matrix to generate a first product; multiplying the optimized second weight matrix by the first product to generate a second product; and vectorizing the second product. The initial weight matrix requires a larger memory space than a combined memory space of the first and second weight matrixes.

Abstract: A method of a hybrid automatic repeat request acknowledgement (HARQ-ACK) feedback mechanism includes receiving at a user equipment (UE) one or more first downlink control informations (DCIs) associated with first downlink transmissions belonging to a first HARQ-ACK feedback group. One of the first DCIs requests one or more second HARQ-ACK feedback groups to be acknowledged over a HARQ-ACK transmission opportunity (TxOP). A HARQ-ACK feedback for the first HARQ-ACK feedback group and the one or more second HARQ-ACK feedback groups is transmitted over the HARQ-ACK TxOP.