Abstract: Various examples and schemes pertaining to uplink (UL) designs for New Radio (NR) unlicensed spectrum (NR-U) operation in mobile communications are described. An apparatus as a user equipment (UE) receives, from a network node, a scheduling of a plurality of starting slots for an UL transmission by the apparatus. The apparatus performs a listen-before-talk (LBT) procedure and, based on a result of the LBT procedure, the apparatus performs the UL transmission with an initial slot of the UL transmission in one of the plurality of starting slots.

Abstract: A method for postponing a hybrid automatic repeat request acknowledgement (HARQ-ACK) feedback is described. The method can include receiving a downlink control information (DCI) associated with a downlink transmission at a user equipment (UE) from a base station (BS) in a wireless communication system. The DCI can include a HARQ-ACK feedback timing indicator field having a field value indicating that a HARQ-ACK feedback of the downlink transmission is postponed. When a timing and resource for the HARQ-ACK feedback of the downlink transmission is received later, the HARQ-ACK feedback of the downlink transmission is transmitted from the UE to the BS over a HARQ-ACK transmission opportunity (TxOP) with the timing and resource later received.

Abstract: A user equipment (UE) transmits an uplink signal in a wireless network which provides an interlace structure in a frequency domain for uplink transmission. The UE identifies a frequency range which is shared by UEs in the wireless network and is partitioned into N interlaces, N being an integer greater than one. Each interlace is formed by a sequence of resource blocks (RBs) that are non-adjacent and equidistant in frequency. According to a first method, the UE transmits the uplink signal combined with a unique bit sequence to a base station in the wireless network. The transmitted uplink signal spreads across all of the N interlaces. According to a second method, the UE transmits the uplink signal using a different one of the N interlaces in each of N consecutive symbol periods.

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: 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: 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, on an unlicensed carrier and from a base station, a downlink signal including Listen-Before-Talk (LBT) parameters, the downlink signal being a non-physical layer signal. The UE performs an LBT operation based on the LBT parameters. The UE transmits an uplink signal to the base station when the LBT operation is successful.

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 detects a discovery reference signal on an unlicensed carrier. The UE determines timing information of a base station based on a location of the discovery reference signal in a transmission opportunity window of the base station. The UE determines resource elements of a down link control channel transmitted by the base station based on the timing information. The UE decodes the down link control channel.

Abstract: Various solutions for wake-up signal and preamble design for mobile communications are described. An apparatus, while in a first mode of operation, receives a wake-up signal (WUS) from a network. In response to receiving the WUS, the apparatus switches to a second mode of operation from the first mode of operation. The apparatus then detects a preamble in downlink (DL) transmissions from the network. In response to detecting the preamble, the apparatus monitors a physical downlink control channel (PDCCH) to check for an uplink (UL) transmission grant for the apparatus from the network.

Abstract: Techniques, schemes and examples pertaining to sequence design for synchronization and device identification in mobile communication systems are described. A processor of an apparatus generates a set of root sequences and also generates a set of signature sequences from the set of root sequences. The processor then transmits a signal comprising one or more of the signature sequences to a receiving device via a wireless channel. Each signature sequence of the set of signature sequences identifies the apparatus.

Abstract: A gesture recognition system includes a Frequency modulated continuous waveform radar system. First and second channels of the signal reflected by the object are preprocessed and respectively sent to first and second feature map generators. A machine-learning accelerator is configured to receive output from the first and second feature map generators and form frames fed to a deep neural network realized with a hardware processor array for gesture recognition. A memory stores a compressed set of weights as fixed-point, low rank matrices that are directly treated as weights of the deep neural network during inference.

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 detects one or more signals transmitted from a base station in a first unit of a set of units contained in a bandwidth part of an unlicensed carrier, the first unit having contiguous frequency resources. The one or more signals indicating that the base station has occupied the first unit for a first time duration and indicating a schedule of a set of slots in the first time duration for communication with the base station. The UE receives, in a first time slot of the set of slots and from the base station, a control channel.

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: Techniques and examples of interlace design for New Radio unlicensed spectrum (NR-U) operation are described. An apparatus (e.g., user equipment (UE)) assigns a plurality of resources to a plurality of interlaces such that, when the plurality of resources cannot be evenly distributed among all the plurality of interlaces, one or more remaining resources of the plurality of resources are assigned to one or more interlaces of the plurality of interlaces. The apparatus then performs an uplink (UL) transmission to a wireless network in a New Radio unlicensed spectrum (NR-U) using the plurality of resources with block interlaced frequency-division multiple access (B-IFDMA).

Abstract: Techniques and examples of design for initial access in New Radio (NR) unlicensed spectrum (NR-U) are described. An apparatus receives from a base station of a wireless network which transmits one or multiple synchronization signal and PBCH blocks (SS/PBCH blocks) whose indices are indicated in a cyclic-wrapped order subject to a result of listen-before-talk (LBT) in NR-U. The apparatus also transmits a random access request on random access channel (RACH) resources allocated by the base station.

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: Aspects of the disclosure provide an apparatus that includes a baseband processing circuit and a transmitting circuit. The baseband processing circuit is configured to encode a reference signal based on a specific sequence to generate a digital stream. The specific sequence has non-zero values at selected positions, and the number of coincidences of non-zero value positions between the specific sequence and a shifted copy of the specific sequence is smaller than a threshold. The transmitting circuit is configured to transmit wireless signals in response to the digital stream.

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: A performing device of a gesture recognition system executes a performing procedure of a gesture recognition method. The performing procedure includes steps of: receiving a sensing signal; selecting one of sensing frames of the sensing signal; determining a soft label of the selected sensing frame; classifying a gesture event when the soft label of the selected sensing frame is approved. The gesture event is classified to determine the motion of the user. Therefore, the gesture recognition system does not need a predetermined time period to recognize the motion of the user. The time period for recognizing the motion of the user can be dynamical. A total time period for classifying a plurality of motions can be decreased, and the performance of the gesture recognition system can be improved.

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 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.