Abstract: An encoding method, a decoding method, and an apparatus are provided, allowing for support of a next-generation Wi-Fi protocol of IEEE 802.11ax (for example, 802.11be, Wi-Fi 7, or EHT), a next-generation Wi-Fi protocol of IEEE 802.11be (for example, 802.11bn, Wi-Fi 8, or UHR), Wi-Fi AI, a millimeter wave (MMW), an ultra-wideband (UWB), sensing, or the like. After obtaining an information bit sequence, a first communication apparatus performs LDPC encoding on the information bit sequence based on a parity-check matrix to obtain an encoded sequence, and outputs the sequence. A length of the sequence is N1, N1 is n times 1944, and n is an integer greater than or equal to 2. Z of the parity-check matrix may be equal to 81. After obtaining to-be-decoded information, a second communication apparatus performs LDPC decoding based on the parity-check matrix to obtain the information bit sequence. The method can improve decoding performance.

Abstract: Apparatuses and methods for laser diffusion-based motion robust heart rate monitoring. A method for laser sensor system for direct heart rate signal measurement without interference from human body motion includes detecting one or more blood flow signals under human skin for estimation of a heart rate, using a spatially offset pair of laser transmitter and laser receiver. The method includes detecting one or more human motion signals, using a spatially adjacent pair of laser transmitter and laser receiver. The method includes reducing a motion interference signal within the one or more blood flow signals by filtering the one or more human motion signals out from the one or more blood flow signals. The method includes monitoring the heart rate based on the one or more filtered blood flow signals.

Abstract: Methods and apparatuses for a self-supervised AI for reconstructing generalized CSI feedback in a wireless communication system. The method of a BS comprises: recovering at least one RB-level precoder based on at least one low-resolution RB-level precoder for obtaining a precoder gain; configuring, based on the at least one RB-level precoder, an up-sampling operation for CSI to train a self-supervised learning model without information including at least one of UL CSI or a reference signal; reconstructing, based on a physics-based loss function, the CSI using the self-supervised learning model for DL CSI; and transmitting, to a UE, signals including information associated with the reconstructed CSI.

Abstract: Apparatuses and methods for energy-aware communication in a wireless network are provided. An ambient power communication (AMP) station (STA) may leverage its uplink (UL) transmissions to include a one-bit Energy Level Status indication therein. An access point (AP) may schedule providing transmissions to the AMP STA, such as an acknowledgement (ACK) Status indication, according to the Energy Level Status indication received for the AMP STA. The AP may delay transmissions if the current energy level of the AMP STA, as indicated using the Energy Level Status indication, is insufficient to receive and optionally process such transmissions. The AP may leverage its outgoing transmissions, such as AMP frames, to the AMP STA, to include the ACK Status indication therein. The ACK Status indication may include a single bit.

Abstract: A method for performing a central coordination function includes that when a first central coordinator node cannot perform a central coordination function, a candidate central coordinator node may send, to another node, a first change request message used to request to change a node parameter, and receive a change request response message of the first change request message sent by the another node.

Abstract: A method includes generating multiple embedded features representing operational data of network elements in a wireless communication network. The method also includes generating a relationship graph based on the embedded features, the relationship graph representing behavior of the network elements in the wireless communication network. The method also includes detecting one or more anomalies in the wireless communication network using the relationship graph, the one or more anomalies identifying one or more deviations of one or more of the network elements from an expected behavior of the one or more network elements. The method also includes generating network analytics based on the one or more detected anomalies.

Abstract: Apparatuses and methods for operating a base station (BS) are provided. In one embodiment, a method for operating a BS is provided. The method includes determining at least one correlation between an uplink (UL) channel state information (CSI) data and downlink (DL) CSI data using a deep learning-based CSI up-sampling model, and determining resource block-level (RB-level) DL CSI information using the deep learning-based CSI up-sampling model based on the correlation between the UL CSI data and the DL CSI data.

Abstract: Methods and apparatuses for automating configuration management in cellular networks. A method of a computing device comprises: assigning, based on a correlation analysis, contexts to different time intervals of data, wherein the correlation analysis is performed based on historic time-series data; grouping, based on the assigned contexts, the historic time-series data; identifying context and compute an anomaly score comparing new data and the grouped historic-time series data of the context; indicating an event of anomaly based on a determination that the computed anomaly score exceeds a first threshold that is identified based on a function of per-context data; and computing, based on the event of the anomaly, an aggregate anomaly score or indicate using a value of mean or moving average of a set of latest anomaly scores, for a context-based multivariate anomaly detection.

Abstract: A method includes partitioning a set of configuration management (CM) data for one or more cellular network devices into multiple distinct time intervals. The method also includes determining one or more temporal points of interest in each time interval based on whether CM changes exist during that time interval. The method also includes, for each temporal point of interest in each time interval, identifying a first set of data samples before that temporal point of interest and a second set of data samples after that temporal point of interest, and averaging features and a target key performance indicator (KPI) in the first set of data samples and in the second set of data samples. The method also includes performing regression analysis to determine an impact of the features on the target KPI.

Abstract: A method includes acquiring, by a processor of an electronic device, information associated with channel and noise covariances. The method includes determining one or more time-domain rectangular filters based on the information associated with the channel and noise covariances. The method includes generating one or more convolutional kernels based on the one or more rectangular filters applied to the channel and noise covariances in a time-domain. The method includes generating a codebook based on the one or more convolutional kernels, the codebook comprising N codewords. Further, the method can include establishing a communication link to a gNB configured to: receive a reference signal from a user equipment; receive the codebook; calculate channel statistics using a low complexity algorithm; execute a decision tree classifier to select a codeword from the codebook stored in memory of the gNB; and apply the selected codeword as convolution kernel for channel estimation.

Abstract: Apparatuses and methods for operating a base station (BS) are provided. In some embodiments, the method includes receiving supporting information from at least one external device. The method further includes determining physical environment information based on the supporting information, receiving position information for a user equipment (UE), and generating output information for communication with the UE based on the physical environment information and the position information using at least one learning model.

Abstract: Methods and apparatus are disclosed for providing ultra-high reliability (UHR) link adaptation. To enable UHR link adaptation between network devices of a Wi-Fi network, parameters for the link adaptation are indicated in the high-throughput (HT) control field of a medium access control header associated with data frames. A control identifier for the HT control field can be set to indicate a UHR link adaptation for control information provided in the HT control field. In some embodiments, the parameters for UHR link adaptation may be provided through a plurality of data frames, each having a respective HT control field that provides some UHR link adaptation parameters. Embodiments can facilitate provision of parameters for new modulation and coding systems, unequal modulation, and distributed resource units.

Abstract: A method and apparatus for indicating extended DRU bandwidth (DBW) and extended spatial stream (SS) allocation in a UHR variant user info field of a UHR trigger frame is provided. The at least three extended DBW bits can be used to jointly indicate extended DBW and can be used to represent a puncturing pattern of a plurality of puncturing patterns. The at least two extended SS allocation bits can be used to jointly indicate extended SS allocation and can be used to represent a spatial stream of a number of spatial streams.

Abstract: Methods, systems and apparatus related to index modulation for WLAN (IEEE 802.11) are provided. An information-carrying bit sequence to be transmitted is separated into two parts. The first part is used as the basis for selecting tones from distributed resource units (DRUs) which are defined for use in transmission of a frame. The second part is used as the basis for generating modulation symbols for transmission. The modulation symbols are then transmitted using the selected tones. At the receiver, the tones which are used are determined by an energy detection method, and the modulation symbols are also decoded. A recovered bit sequence is generated based on the determined tones and the modulation symbols. Where there are N DRUs, each having T tones, T groups of tones can be defined. From each group of tones, one tone is selected based on a sub-part of the bit sequence's first part.

Abstract: A method includes: receiving, by a first electronic device located in a first site, a signal from a second electronic device over a channel; obtaining, by the first electronic device, a noisy channel estimate based on the received signal using a linear estimator; preprocessing, by the first electronic device, the noisy channel estimate to remove at least one of an anomaly, a multiuser interference, or a timing offset; and estimating, by the first electronic device, the channel using an artificial intelligence channel estimation model.

Abstract: A low-density parity-check (LDPC) encoding method includes performing LDPC encoding on an information bit sequence based on a parity check matrix, to obtain a first code word. The parity-check matrix is obtained by expanding a base matrix or a submatrix of the base matrix. The base matrix or submatrix is an H×M submatrix formed from H selected rows and M selected columns of a 12×22 matrix, where H is 1 to 12 and M is 1 to 22. The H×M submatrix includes two columns corresponding to first two columns of the 12×22 matrix and including predetermined binary sequences.

Abstract: A method includes receiving, by a first electronic device, a signal from a second electronic device over a channel. The method further includes preprocessing, by the first electronic device, the signal to generate a noisy channel estimate. The method additionally includes estimating, by the first electronic device, the channel based on the noisy channel estimate using a neural network having a mixture of experts (MoE) architecture and a router.

Abstract: A format for a Null Data Packet Announcement (NDPA) frame for Wi-Fi sensing is provided. The frame format is based on the ranging NDPA frame format. The sensing frame can indicate channel state information measurement parameters, for a preamble punctured EHT NDP PPDU, in the Common Info field of the frame. When there is insufficient space in the Common Info field, the puncturing patterns can be indicated in each station (STA) field of the frame. Alternatively, the sensing frame can include an additional Common Info field that includes the information defining the puncturing patterns. Also provided is a method that indicates partial bandwidth (BW) feedback when the BW of each STA is smaller than the BW of the EHT NDP PPDU. A method that indicates the BW of the sensing NDPA frame is also provided, as is a method for setting the signal field in the EHT NDP PPDU for a number of long training field repetition.

Abstract: Provided are compositions and methods comprising a CD40L-specific Tn3 scaffold. Also provided are methods of utilizing the same for the prevention and treatment of Sjögren's syndrome.

Abstract: A communication method has the steps of transmitting or receiving a first frame for indicating one or more unavailability time periods of a plurality of links; and accordingly, receiving or transmitting a plurality of data frames via the plurality of links using the one or more unavailability time periods.