Abstract: A configuration to enable a UE to transmit an enhanced preamble to initiate a RACH procedure to improve coverage of PRACH without an excessive increase in usage of PRACH resources. The apparatus transmits, to a base station, a preamble to initiate a RACH procedure. The apparatus monitors for at least one RAR, from the base station, during a RAR window in response to the transmitted preamble. The apparatus transmits, to the base station, an enhanced preamble to initiate the RACH procedure if the at least one RAR is not received during the RAR window.

Abstract: A communication system comprising a master apparatus and a slave apparatus, wherein: the slave apparatus is configured, in an upstream period, to transmit a slave data signal to the master apparatus based on a slave clock signal; and the master apparatus is configured to: during reception of the slave data signal from the slave apparatus in the upstream period, extract timing information from the slave data signal and adjust a phase and/or frequency of a master clock signal or a definition thereof relative to a reference phase and/or frequency based on the extracted timing information to enable decoding of the received slave data signal based on the master clock signal or that definition; in a downstream period, transmit a master data signal to the slave apparatus based on the master clock signal according to the adjustment carried out during reception of the slave data signal in the upstream period; and adjust the phase and/or frequency of the master clock signal during transmission of the master data signal

Abstract: This disclosure provides a data sending method and receiving method, and user equipment thereof, and relates to the field of communications technologies. The data receiving method applied to user equipment includes: determining whether a Medium Access Cntrol (MAC) Protocol Data Unit (PDU) received by the user equipment includes a reserved Logical Channel Identity (LCID) value; and when the MAC PDU includes a reserved LCID value, discarding a Service Data Unit (SDU) or sub-PDU corresponding to the reserved LCID value in the MAC PDU.

Abstract: According to one aspect, a method for sensor fusion associated with a long short-term memory (LSTM) cell may include generating a first adjusted sensor encoding based on a first sensor encoding from a first sensor, generating a second adjusted sensor encoding based on a second sensor encoding from a second sensor, generating a fusion result based on the first adjusted sensor encoding and the second adjusted sensor encoding, generating a first product based on the fusion result and the first adjusted sensor encoding, generating a second product based on the second adjusted sensor encoding, and generating a fused state based on the first product and the second product.

Abstract: A method uses a distributed data acquisition system with multiple, physically unconnected, data acquisition units, that can be in wireless communication with a remote host, to timestamp measurement data with sub-microsecond time base accuracy of sampling clock relative to an absolute timeframe. A current absolute time is derived from messages received from a satellite radio beacon positioning system (GPS). Measurement data is sampled by each unit at a specified sampling rate. Using hardware logic, batches of sampled data are associated with corresponding timestamps representing the absolute time at which the data was sampled. Data and timestamps may be transmitted to the host. A time offset bias is compensated by comparing timestamps against a nominal time based on start time and nominal sampling rate. The sampling clock rate may be disciplined using time pulses from the GPS receiver. An initial start of data sampling by all units can also be synchronized.

Abstract: A method for training parameters of a student model includes receiving one or more teacher models trained using sensitive data. Each teacher model includes one or more intermediate layers and a prediction layer coupled to the one or more intermediate layers. The method includes receiving, from the one or more teacher models, one or more intermediate layer outputs and one or more prediction layer outputs respectively based on public data. Student model training is performed to train parameters of the student model based on the intermediate layer outputs and prediction layer outputs of the one or more teacher models.

Abstract: A method for upgrading a training state of a machine learning model is described, the machine learning model being configured for supporting a model update. The method comprises predicting a set of target data elements based on the input data structure using the machine learning model, a target data element corresponding to a respective characteristic of the input data structure, and determining, for at least one of the predicted target data elements, whether or not a respective target data element is presumably erroneous. The method further comprises determining, for each presumably erroneous target data element detected in the previous step, an estimated corrected target data element, and performing, based on at least one estimated corrected target data element, a step of updating the training state of the machine learning model.

Abstract: Embodiments of this application provide a method for processing information bits in a wireless communication network. A communication device receives a radio resource control (RRC) signaling, wherein the RRC signaling comprises time window information and time unit format information, wherein the time window information comprises a hybrid automatic repeat request (HARQ) time sequence K1 set, wherein K1 is a time relationship between a time unit of a physical downlink shared channel (PDSCH) and a time unit of a physical uplink control channel (PUCCH), or wherein the K1 is a time relationship between a time unit of a (PDSCH) and a time unit of a physical uplink shared channel (PUSCH). The device determines HARQ feedback information based on the time window information and the time unit format information and sends the HARQ feedback information.

Abstract: In implementations of the present disclosure, a solution for optimization of a learning network in an equivalent class space is provided. In this solution, base paths running through layers of a learning network are determined. Each node utilizes an activation function with a scaling invariant property to process an input from a node of a previous layer, each base path comprises a single node in each layer, and processing in the base paths is linearly independent from each other. A combined value of parameters associated with nodes in each base path is updated. A parameter associated with a node is used to adjust an input obtained from a node of a previous layer. Values of parameters associated with nodes in the base paths are updated based on updated combined values of parameters. Through this solution, optimization efficiency can be improved and more accurate optimized values of parameters are achieved.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may measure the reference signal received power (RSRP) of reference signals from other UEs in a time window and exclude resources of transmissions with a measurement which is above RSRP threshold. In some cases, not enough resources are identified, and the UE may increase the RSRP and search for resources again, however the UE may only increase the RSRP until a stop RSRP limit is reached. The UE may increase the RSRP based on an absolute value or a factor of an incremental power value. Once the stop RSRP threshold is reached, the UE may modify the size of the time window, shift the time window, or reduce the number of retransmission of the sidelink message to search for resources for the sidelink message.

Abstract: Aspects described herein relate to receiving or determining an indication of multiple component carriers (CCs) configured wireless communications, communicating in a first bandwidth part (BWP) within a first one of the multiple CCs during a first time period, and communicating, based on a hopping pattern, in a second BWP within a second one of the multiple CCs during a second time period.

Abstract: An arrangement for use in a matrix-vector-multiplier, comprising a stack of material layers arranged on a substrate, and a waveguide element formed in at least one material layer in the stack is disclosed. In one aspect, the arrangement further comprises a transducer arrangement which is coupled to the waveguide element. The transducer arrangement is configured to generate and detect spin wave(s) in the waveguide element, and wherein the waveguide element is configured to confine and to provide interference of the at spin wave(s) propagating therein. The arrangement further comprises a control mechanism comprising at least one control element coupled to the waveguide element, and a direct current electric source coupled to the at least one control element. The control mechanism, via the at least one control element, is configured to modify the phase velocity of the spin wave(s) propagating in the waveguide element.

Abstract: A system, method and apparatus for configuring a node in a sensor network. A sensor service can enable sensor applications to customize the collection and processing of sensor data from a monitoring location. In one embodiment, sensor applications can customize the operation of nodes in the sensor network via a sensor data control system.

Abstract: Systems and methods for performing Evolved Packet System (EPS) fallback from a 5G system to an Evolved Packet Core (EPC) system are disclosed. The method, performed in a mobile device, detects a communication at the mobile device. The method then determines whether either the mobile device or a base station supports the communication over new radio. Directly in response to determining that either one of the mobile device or the base station does not support the communication over new radio, the method generates and transmits an EPS fallback message from the mobile device to the base station, wherein the EPS fallback message instructs the base station to initiate a fallback procedure from the 5G system to the EPC system.

Abstract: A computer-implemented machine learning model training method and resulting machine learning model. One embodiment of the method may comprise receiving at a computer memory training data; and training on a computer processor a machine learning model on the received training data using a plurality of batch sizes to produce a trained processor. The training may include calculating a plurality of activations during a forward pass of the training and discarding at least some of the calculated plurality of activations after the forward pass of the training.

Abstract: Various embodiments include methods for managing uplink timing advance configuration of wireless devices by a base station. A wireless device may send an initial access signal to a base station, receive from the base station an initial timing advance value responsive to the initial access signal, and send to the base station a next signal comprising a Physical Random Access Channel (PRACH) waveform via uplink (UL) receive (Rx) points over two or more beams. The base station may receive the next signal including the PRACH waveform via the two or more UL Rx points, select a refined timing advance value based on the signal, and send the refined timing advance value to the wireless device. The wireless device may receive the refined timing advance value and send a further signal to the base station via one of the UL Rx points using the refined timing advance.

Abstract: A network device includes one or more ports for connecting to a communication network, packet processing circuitry and clock circuitry. The packet processing circuitry is configured to communicate packets over the communication network via the ports. The clock circuitry includes a hardware clock configured to indicate a network time used for synchronizing network devices in the communication network, and a built-in accuracy test circuit configured to check an accuracy of the hardware clock.

Abstract: Described herein are systems and methods for inverse reinforcement learning to leverage the benefits of model-based optimization method and model-free learning method. Embodiments of a framework combining human behavior model with model predictive control are presented. The framework takes advantage of feature identification capability of a neural network to determine the reward function of model predictive control. Furthermore, embodiments of the present approach are implemented to solve the practical autonomous driving longitudinal control problem with simultaneous preference on safe execution and passenger comfort.

Abstract: Some embodiments of this disclosure include apparatuses and methods for implementing block acknowledgment (BA) operations for multi-link wireless communication networks. For example some embodiments relate to an electronic device including a transceiver and one or more processors communicatively coupled to the transceiver. The one or more processors transmit, using the transceiver and to a second electronic device, a first set of one or more frames on a first link and a second set of one or more frames on a second link. The one or more processors receive, using the transceiver and from the second electronic device, a first block acknowledgment (BA) frame on the first link and a second BA frame on the second link. The one or more processors further determine, based on received first BA frame and the second BA frame, a failed or missing frame of the first set of one or more frames transmitted on the first link.

Abstract: A communication apparatus that operates as an access point constructing a wireless LAN receives a selection instruction for operating as a controller configured to control another access point in a network including at least one or more access points and determines, based on comparison between a controller selection method used in the selection instruction and a controller selection method used in another communication apparatus already operating as a controller, whether to change an apparatus that is to operate as the controller from the other communication apparatus to the communication apparatus.