A method for measuring channel quality in a wireless transceiver is disclosed, comprising: receiving, at a wireless transceiver, an analog signal from a user equipment (UE); converting the analog signal to a plurality of digital samples at an analog to digital converter (ADC); performing a fast Fourier transform (FFT) on the plurality of digital samples to generate frequency domain samples; identifying an uplink demodulation reference signal (DMRS) symbol; performing channel estimation on the DMRS symbol to identify an estimate of channels; creating a noise covariance matrix from the estimate of channels; and deriving an interference measure from the noise covariance matrix.

A method and device for increasing an accuracy of a phase measurement, wherein the method includes: receiving a measurement signal; performing a frequency-domain transformation to the measurement signal to obtain a frequency-domain measurement sequence; determining phases that correspond to frequency-domain measurement signals, and determining a phase difference between the frequency-domain measurement signals that correspond to two neighboring specified frequency points; according to the phases, the phase difference and a window function, performing a sliding-window-type phase fitting to the frequency-domain measurement sequence, to obtain phase-fitting data that correspond to sliding windows; and according to the phase-fitting data of the sliding windows, determining phase-calibration data that correspond to the sliding windows, and, by using the phase-calibration data of the sliding windows, forming phase-calibration data within a specified frequency band. The method reduces an error of fitting, and increases an accuracy of a phase calibration.

A method includes calculating first high dimensional channel characteristics of a first frequency band in accordance with measurements of the first frequency band; estimating a power angle delay spectrum (PADS) in accordance with the first high dimensional channel characteristics of the first frequency band; determining a domain conversion matrix for a second frequency band in accordance with the PADS; and generating second high dimensional channel characteristics of the second frequency band in accordance with the domain conversion matrix and the first high dimensional channel characteristics of the first frequency band.

Various embodiments of the disclosure relate to a device and a method for allocating a resource in a wireless LAN system. An electronic device may include: a memory, a communication circuit, and a processor operatively connected to the memory and the communication circuit, wherein the processor is configured to: receive a reference signal from an external electronic device via the communication circuit, identify channel gains of multiple subcarriers included in a frequency resource through a channel estimation based on the reference signal, identify, based on the channel gains of the subcarriers, subcarriers in which constructive interference is determined to have occurred, configure multiple resource groups each including at least one consecutive subcarrier among the identified subcarriers, and transmit information related to the multiple resource groups to the external electronic device via the communication circuit.

An apparatus, method and computing program is described including: receiving one or more received symbols and one or more received bits, wherein the received symbols are received at a receiver of a transmission system including a transmitter, a channel, and the receiver; converting one or more of the received bits that are deemed to be correct into one or more estimated transmission symbols; generating an estimated channel transfer function based on one or more of the estimated transmission symbols and corresponding received symbols; and providing training data pairs, each training data pair including a first element based on the estimated channel transfer function and a second element based on the corresponding received symbols.

Example embodiments of the present disclosure relate to machine learning-based channel estimation. According to an example embodiment, a first device determines a signal quality that is expected in transmission of a reference signal from a second device to the first device and receives the reference signal from the second device. The first device selects, based on the expected signal quality, a channel estimation model from a plurality of channel estimation models that have been trained for a plurality of candidate signal qualities for the reference signal. The first device determines, using the selected channel estimation model and based on the received reference signal, channel state information of a communication channel from the first device to the second device. According to this solution, a channel estimation model is dynamically selected for use, depending on a real-time signal quality expected to be gained in transmission of a certain RS.

Disclosed is an electronic device, including a housing, a first communication circuit disposed in the housing and configured to support omnidirectional wireless communication, a second communication circuit disposed in the housing and configured to support directional wireless communication using beamforming, a processor disposed in the housing and operatively coupled to the first communication circuit and the second communication circuit, and a memory disposed in the housing and operatively coupled to the processor. The processor may be configured to receive at least one first radio signal through a communication channel from an external device capable of supporting the omnidirectional wireless communication and the directional wireless communication using the first communication circuit, determine a state of the communication channel based on at least part of the at least one first radio signal, and activate the second communication circuit based on at least part of the determined state of the communication channel wherein the second communication circuit is configured to receive a second radio signal from the external device.

Provided are a downlink channel state information estimation method and apparatus, a device, and a storage medium. The downlink channel state information estimation method includes sending a downlink radio frame carrying channel sounding information; receiving an uplink radio frame carrying a first downlink channel state information data set; acquiring an uplink channel state information data set; and determining a second downlink channel state information data set.

There is provided a method of receiving a transmitted signal over a time-varying channel. The method includes: obtaining a received symbol signal in frequency domain based on the transmitted signal; performing a first channel estimation based on the received symbol signal to obtain a plurality of first estimated BEM coefficients; performing a first equalization based on the received symbol signal and the plurality of first estimated BEM coefficients to obtain a plurality of first detected source symbols; and performing one or more rounds of a second channel estimation and a second equalization. Each round includes: performing the second channel estimation based on the received symbol signal and a plurality of detected source symbols to obtain a plurality of second estimated BEM coefficients; performing interference removal based on the received symbol signal, the plurality of detected source symbols and the plurality of second estimated BEM coefficients to obtain an interference reduced symbol signal infrequency domain; and performing the second equalization based on the interference reduced symbol signal and the plurality of second estimated BEM coefficients to obtain a plurality of second detected source symbols. There is also provided a corresponding receiver, and a system for wireless communication over a time-varying channel including the receiver.

Aspects of this disclosure relate to assigning scrambling identifiers to user equipments. A first scrambling identifier can be assigned to each user equipment of a group, such that the first scrambling identifier is the same for each of the user equipments of the group. A second scrambling identifier can be assigned to each of the user equipments of the group, such that the second scrambling identifier is different for each of the user equipments of the group. A selected scrambling identifier can be used to generate a reference signal sequence.