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.

Abstract: A communication method performed by a first multi-link device (MLD), the method has the steps of: transmitting or receiving a first frame indicating a plurality of communication parameters of a plurality of links; and receiving or transmitting a plurality of data frames via the plurality of links using the plurality of communication parameters.

Abstract: Methods are disclosed of initiating coordinated beamforming or coordinated spatial reuse using a trigger frame. The trigger frame can repurpose fields in an existing trigger type or it can define a new trigger type with extra space via fields for trigger dependent user info or common info. The trigger frame provides allocation info of spatial streams to access points and stations for participating in transmitting and receiving a downlink coordinated beamforming or coordinated spatial reuse physical layer protocol data unit, and optionally such allocation info for sending block acknowledgements, which may be sequential or simultaneous.

Abstract: There is provided systems, methods and apparatuses for integrating non-primary channel access (NPCA) into the multi-access point (MAP) coordination transmission phase. This integration can enable more APs to utilize the available transmission opportunity (TXOP) duration and increase resource allocation flexibility.

Abstract: A method for channel estimation includes receiving, by a first electronic device, an uplink signal from a second electronic device over a channel, the uplink signal including demodulation references signals (DMRS); preprocessing, by the first electronic device, the received uplink signal to generate a noisy channel image including a real part and an imaginary part derived from each DMRS; and performing, by the first electronic device, channel estimation based on the noisy channel image using an artificial intelligence (AI) model trained to denoise an input channel image, the AI model having a residual network U-shaped (ResnetU) structure including downsamplers and upsamplers configured for physical uplink shared channel (PUSCH) channel estimation.

Abstract: There is provided a method and apparatus associated with a sensing measurement report frame format. A method includes receiving, by an access point (AP) or a station (STA), a request for at least one sensing measurement report. The method also includes transmitting, by the AP or the STA, a sensing measurement report frame that includes a category field, a public action field, and at least one measurement set-up identifier field and at least one sensing measurement report element. The sensing management report frame can include a category field, a public action field, a dialog token field, a measurement set-up identifier field, and a sensing measurement report element.

Abstract: Methods and apparatuses for a CSI prediction with timing and frequency offsets impairments via state space models in wireless communication systems. The method of a UE comprises: receiving a downlink signal; identifying, based on the downlink signal, an input data tensor in a frequency domain; computing, based on the input data tensor, a TTI-wise average to obtain a TTI-wise normalized value by performing a TTI-wise division operation; performing, based on the TTI-wise normalized value, a delay angle transformation to obtain RBs, wherein each of the RBs is identified as a different time step; encoding the input data tensor per-TTI channel matrix; identifying a prediction size of the input data tensor in a delay-angle domain using ML model; and performing, based on the prediction size, a frequency transformation for a channel prediction operation, wherein a decoder is used to recover a predicted channel after performing the channel prediction operation.