An embodiment method, by a user equipment (UE), includes performing a channel measurement (CM) on a first subset of a set of non-zero-power (NZP) CSI reference signal (CSI-RS) resources and an interference measurement (IM) on at least a second subset of the set of NZP CSI-RS resources. The second subset includes one or more NZP CSI-RS ports. The IM is performed according to assumptions: each NZP CSI-RS port in the second subset corresponds to an interference transmission layer, the IM being in accordance with a set of energy per resource element ratios each associated with one NZP CSI-RS resource in the second subset; and other interference not associated with the interference transmission layers is on the first and second subsets. The method includes generating a channel state information (CSI) report based on the CM and IM and transmitting the CSI report to a network.

Methods are described allowing a vector signaling code to encode multi-level data without the significant alphabet size increase known to cause symbol dynamic range compression and thus increased noise susceptibility. By intentionally restricting the number of codewords used, good pin efficiency may be maintained along with improved system signal-to-noise ratio.

Methods are described allowing a vector signaling code to encode multi-level data without the significant alphabet size increase known to cause symbol dynamic range compression and thus increased noise susceptibility. By intentionally restricting the number of codewords used, good pin efficiency may be maintained along with improved system signal-to-noise ratio.

This disclosure describes systems, methods, and devices related to tone mapping for a high-efficiency (HE) trigger-based (TB) null data packet (NDP) feedback physical layer protocol data unit (PPDU). A device may identify a frame received from a second device. The device may determine, based on the frame, a resource unit allocated to the device, wherein the resource unit is associated with a 20 MHz sub-channel of a bandwidth. The device may determine, based on the resource unit and the bandwidth, tones associated with a HE short training field (HE-STF) of a HE TB NDP feedback PPDU. The device may send the HE TB NDP feedback PPDU to the second device in the 20 MHz sub-channel, wherein the HE TB NDP feedback PPDU includes the tones.

A MIMO symbol detection and search method, a decoding circuit and a receiving antenna system are provided. The signal detection and search method includes the following steps. A symbol search tree is obtained, and a plurality of candidate symbols at each layer of the symbol search tree are sorted. The candidate symbols are traversed in sequence at each layer of the symbol search tree. At each layer of the symbol search tree, if a cumulative partial Euclidean distance is greater than or equal to a threshold, un-scanned candidate symbols are excluded. If the cumulative partial Euclidean distance is less than the threshold, the threshold is updated by the cumulative partial Euclidean distance. When all of the candidate symbols have been calculated, an estimated symbol combination is outputted, and the scan of the symbol search tree is terminated.

One embodiment according to the present specification relates to a technique for transmitting a long training field (LTF) signal in a wireless LAN (WLAN) system. The LTF signal may comprise an LTF sequence transmitted on the basis of a plurality of subcarriers. For example, a minimum subcarrier index of a plurality of subcarriers may be set to −28, and a maximum subcarrier index of the plurality of subcarriers may be set to 28. A pilot tone may be inserted/allocated to four subcarriers from among a plurality of subcarriers.

A data processing apparatus and method, a base station, and a storage medium are provided. The apparatus includes: a processor, configured to determine a computation parallelism degree according to the number of antennas and pilot frequency information, acquire antenna data and channel estimation matrices of respective users, and store the antenna data and the channel estimation matrices in groups in a memory, and determine, according to the computation parallelism degree, target antenna data processed in parallel by an arithmetic unit in a single computation, wherein the target antenna data is part of the antenna data of the respective users; the memory, configured to store the antenna data and the channel estimation matrices in groups, and output the target antenna data and the channel estimation matrices to the arithmetic unit; and the arithmetic unit, configured to compute user data based on the target antenna data and the channel estimation matrices.

A processor-implemented method for estimating a channel by a deep generative model includes receiving, at a device, an observation of the channel and mapping, at the device, the observation to a mean value associated with the channel and a covariance matrix associated with the channel. The processor-implemented method also includes reconstructing, at the device, the channel based on the mean value and the covariance matrix.

A detection system includes: a signal output unit configured to output, to a measurement target, a measurement signal that exhibits a predetermined temporal change; a signal measurement unit configured to measure a response signal, to the measurement signal, from the measurement target; a calculation unit configured to calculate an impulse response of the measurement target, based on a measurement result of the response signal measured by the signal measurement unit; and a detection unit configured to detect abnormality regarding the measurement target, based on the impulse response calculated by the calculation unit.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a base station, information indicating that demodulation reference signal (DMRS) time domain bundling is enabled. The UE may determine a time domain bundling configuration based at least in part on the information indicating that the DMRS time domain bundling is enabled. Accordingly, in some aspects, the UE may perform channel estimation based at least in part on DMRSs received in different physical downlink control channel monitoring occasions based at least in part on the time domain bundling configuration. Numerous other aspects are provided.