Provided is a co-existing interference reduction method, which includes: a target wireless communication mode link with a co-existing interference is determined, the co-existing interference including harmonic interference and intermodulation interference; interference scanning detection is performed on the link in a coexistence state so as to obtain values corresponding to a co-existing interference effect evaluation parameter of the link in case of different values of a modulation control parameter; a filtering regulation strategy corresponding to the link is determined according to an interference scanning detection result; and a preset filter module matched with the link is controlled to perform a filtering process according to the filtering regulation strategy so as to reduce a co-existing interference effect on the link.

Provided is a co-existing interference reduction method, which includes: a target wireless communication mode link with a co-existing interference is determined, the co-existing interference including harmonic interference and intermodulation interference; interference scanning detection is performed on the link in a coexistence state so as to obtain values corresponding to a co-existing interference effect evaluation parameter of the link in case of different values of a modulation control parameter; a filtering regulation strategy corresponding to the link is determined according to an interference scanning detection result; and a preset filter module matched with the link is controlled to perform a filtering process according to the filtering regulation strategy so as to reduce a co-existing interference effect on the link.

Power control methods, user equipments, base stations and computer-readable storage media are provided. The method includes: a user equipment determines RSRP corresponding to each of carriers, and determines one or more carriers meeting a first preset condition based on the RSRP corresponding to each of the carriers, where the one or more carriers meeting the first preset condition refer to a carrier generating image interference. Then, the UE reports indication information corresponding to the one or more carriers meeting the first preset condition to a base station to make the base station adjust transmission power of the one or more carriers meeting the first preset condition, so as to alleviate large power difference of each carrier, thus, impact of demodulation performance of some carriers may be reduced, and decline of overall communication performance of carrier aggregation may be alleviated.

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 machine learning method performed by a communication network monitoring device in which an incoming signaling record is received that includes radio signal attributes from a UE in the cellular communication network. A determination is made as to whether the UE incoming signaling record contains location (GPS) data. If the UE incoming signaling record contains GPS data, a machine learning model is generated for determining a location of future UEs in the communication network utilizing the GPS data and the radio signal attributes from the incoming UE signaling record. And if GPS data is not included in the UE incoming signaling record, then the geolocation for the UE is predicted using machine learning techniques utilizing a previous generated machine learning model as applied to the radio signal attributes from the incoming UE signaling record.

A machine learning method performed by a communication network monitoring device in which an incoming signaling record is received that includes radio signal attributes from a UE in the cellular communication network. A determination is made as to whether the UE incoming signaling record contains location (GPS) data. If the UE incoming signaling record contains GPS data, a machine learning model is generated for determining a location of future UEs in the communication network utilizing the GPS data and the radio signal attributes from the incoming UE signaling record. And if GPS data is not included in the UE incoming signaling record, then the geolocation for the UE is predicted using machine learning techniques utilizing a previous generated machine learning model as applied to the radio signal attributes from the incoming UE signaling record.

A system includes a method for detecting a signal interference in a communication signal of a wireless communication system. An identified source of the signal interference is determined according to an interference profile of a plurality of interference profiles associated with an interference profile library having information that approximates characteristics of the signal interference. The signal interference of the communication signal is mitigated according to an interference parameter associated with the identified source by filtering the communication signal according to the interference parameter.

A system includes a method for detecting a signal interference in a communication signal of a wireless communication system. An identified source of the signal interference is determined according to an interference profile of a plurality of interference profiles associated with an interference profile library having information that approximates characteristics of the signal interference. The signal interference of the communication signal is mitigated according to an interference parameter associated with the identified source by filtering the communication signal according to the interference parameter.

A beam measurement method is provided. A terminal obtains beam measurement result reporting configuration of a neighbor cell, and determines a reference signal configuration of beam measurement of the neighbor cell. The terminal performs the beam measurement on the reference signal of the neighbor cell based on the reference signal configuration of the beam measurement. The terminal reports a beam measurement result of the neighbor cell.