Disclosed are a data transmission method and apparatus, a device, and a non-transitory computer-readable storage medium. The data transmission method may include: acquiring K physical shared channel patterns; and performing repetition transmission on data to be transmitted according to the K physical shared channel patterns, where K is an integer greater than 1.

Disclosed are a data transmission method and apparatus, a device, and a non-transitory computer-readable storage medium. The data transmission method may include: acquiring K physical shared channel patterns; and performing repetition transmission on data to be transmitted according to the K physical shared channel patterns, where K is an integer greater than 1.

In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a network node. The apparatus may send, to an IRS, a first configuration for each candidate of a first set of candidates, the first set of candidates including different combinations of a first set of radial distances and a first set of azimuths. The apparatus may communicate an RS with a UE via the IRS after each configuration is sent to the IRS. The apparatus may determine an RSRP of each communicated RS for each candidate of the first set of candidates. The apparatus may send a second configuration to the IRS, the second configuration being based on the determined RSRP.

In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a network node. The apparatus may send, to an IRS, a first configuration for each candidate of a first set of candidates, the first set of candidates including different combinations of a first set of radial distances and a first set of azimuths. The apparatus may communicate an RS with a UE via the IRS after each configuration is sent to the IRS. The apparatus may determine an RSRP of each communicated RS for each candidate of the first set of candidates. The apparatus may send a second configuration to the IRS, the second configuration being based on the determined RSRP.

A method, apparatus and computer program product are provided to improve the positioning performance of a positioning application. The method receives particular radio signal propagation information regarding received radio signal propagation parameter of a respective signal collected by a mobile device following transmission by a beacon on a sub-channel. The method also receives past radio signal propagation information regarding the received radio signal propagation parameter of signals previously transmitted by the beacon and collected by the mobile device on one or more sub-channels. Based on the particular radio signal propagation information and the past radio signal propagation information, the method determines a value for representing the respective signal that is different from the received radio signal propagation parameter of the respective signal. The method represents the respective signal with the value determined based on the particular radio signal propagation information and the past radio signal propagation information.

A method, apparatus and computer program product are provided to improve the positioning performance of a positioning application. The method receives particular radio signal propagation information regarding received radio signal propagation parameter of a respective signal collected by a mobile device following transmission by a beacon on a sub-channel. The method also receives past radio signal propagation information regarding the received radio signal propagation parameter of signals previously transmitted by the beacon and collected by the mobile device on one or more sub-channels. Based on the particular radio signal propagation information and the past radio signal propagation information, the method determines a value for representing the respective signal that is different from the received radio signal propagation parameter of the respective signal. The method represents the respective signal with the value determined based on the particular radio signal propagation information and the past radio signal propagation information.

The present disclosure provides a method and a device in a UE and a base station for wireless communications. The UE receives first information, and transmits a first radio signal in a first time window in a first sub-band. The first information is used for determining the first time window; a time offset of a start time for a transmission of the first radio signal relative to a reference time belongs to a target offset set, the target offset set including W offset value(s); time offset(s) of W start time(s) respectively relative to the reference time is(are) respectively equal to the W offset value(s); any of the W start time(s) belongs to one of N time units, any of the N time units includes at least one of the W start times.

The disclosure provides a wireless channel scenario identification method and system. The method includes: simulating different wireless channel scenarios to obtain a channel scenario baseband signal y(t).sub.pq; extracting a feature parameter of y(t).sub.pq, extracting an autocorrelation function A.sub.h(t).sub.pq and performing a Fourier transform thereon to obtain a power spectral density function S(t).sub.pq; normalizing S(t).sub.pq to obtain a normalized channel scenario power spectral density function S(t).sub.pq; designing a deep learning network and inputting S(t).sub.pq and a category label pair to train the deep learning network; and for a system with a channel scenario to be identified, collecting a passband signal at its receiving end, obtaining the normalized scenario power spectral density function Ŝ(t).sub.pq, and using Ŝ(t).sub.pq as an input of the trained classifier, the output of the classifier being a label sequence of the channel scenario, and the channel scenario is effectively determined.

An environmental frequency sensing device, includes logic that performs signal strength (SS) level separation on a received band of frequencies to produce SS level separated frequencies. The logic performs frequency grouping on the SS level separated frequencies for each signal strength level to produce magnitude information for each grouping. The logic generates peak data by detecting peaks of the produced magnitude information. The logic generates an edge event indicating a signal edge based on arrival or departure of a given peak and compares, on a frequency basis, generated edges to stored fingerprint data of a signal of interest. Based on the comparison, the logic provides detected signal data indicating current use of a range of frequencies in an environment.

An environmental frequency sensing device, includes logic that performs signal strength (SS) level separation on a received band of frequencies to produce SS level separated frequencies. The logic performs frequency grouping on the SS level separated frequencies for each signal strength level to produce magnitude information for each grouping. The logic generates peak data by detecting peaks of the produced magnitude information. The logic generates an edge event indicating a signal edge based on arrival or departure of a given peak and compares, on a frequency basis, generated edges to stored fingerprint data of a signal of interest. Based on the comparison, the logic provides detected signal data indicating current use of a range of frequencies in an environment.