A signal analysis method of analyzing a performance of a device under test is described. A digitized input signal is obtained, wherein the digitized input signal is associated with the device under test. At least one characteristic quantity is determined via an artificial intelligence circuit. The artificial intelligence circuit includes at least one computing parameter. The at least one characteristic quantity is determined based on the digitized input signal and based on the at least one computing parameter. The at least one characteristic quantity is indicative of at least one performance property of the device under test. Further, a test system for analyzing a performance of a device under test as well as a computer program or program product are described.

A signal analysis method of analyzing a performance of a device under test is described. A digitized input signal is obtained, wherein the digitized input signal is associated with the device under test. At least one characteristic quantity is determined via an artificial intelligence circuit. The artificial intelligence circuit includes at least one computing parameter. The at least one characteristic quantity is determined based on the digitized input signal and based on the at least one computing parameter. The at least one characteristic quantity is indicative of at least one performance property of the device under test. Further, a test system for analyzing a performance of a device under test as well as a computer program or program product are described.

A method for operating a receiving device includes monitoring a transmission from transmitting device, deriving a reliability measure of the transmission, and detecting that a triggering condition comparing the reliability measure with a threshold is met, and based thereon, sending a triggering signal to the transmitting device to trigger a beam failure recovery procedure.

A method for operating a receiving device includes monitoring a transmission from transmitting device, deriving a reliability measure of the transmission, and detecting that a triggering condition comparing the reliability measure with a threshold is met, and based thereon, sending a triggering signal to the transmitting device to trigger a beam failure recovery procedure.

According to a method of an embodiment of the present disclosure, a method for correcting a beamforming pattern of a base station by an analysis server of a base station management network may comprise the steps of: when network management information is received from a first base station, identifying whether or not the network management information indicates the occurrence of a failure in an antenna element of the first base station; when the network management information indicates the occurrence of the failure in the antenna element of the first base station, analyzing an effect of a beamforming pattern of the first base station and analyzing a change in a cell coverage; on the basis of the result of the analysis, determining a first beamforming pattern for compensating for the failure in the antenna element; and transmitting, to the first base station, information about the first beamforming pattern by including the information in management control information.

A method for checking the operation of an electronic device configured to transmit signals via a radio communication channel is implemented by a checking device. The method includes: receiving, on the radio communication channel, a signal from the electronic device; and determining the operation of the electronic device based on noise present in the received signal.

A method for checking the operation of an electronic device configured to transmit signals via a radio communication channel is implemented by a checking device. The method includes: receiving, on the radio communication channel, a signal from the electronic device; and determining the operation of the electronic device based on noise present in the received signal.

Provided by the present disclosure are data transmission method and device. In an embodiment of the present disclosure, data transmission conditions of each serving cell among at least two serving cells is detected by means of a terminal so that the terminal may, according to the data transmission conditions of each serving cell, execute random access on a serving cell experiencing wave beam failure so as to update a service beam of the serving cell. Thus, when the terminal experiences wave beam failure in a serving cell in a carrier aggregation (CA) scenario, reliable data transmission may be achieved, and the reliability of data transmission may be effectively ensured.

Provided by the present disclosure are data transmission method and device. In an embodiment of the present disclosure, data transmission conditions of each serving cell among at least two serving cells is detected by means of a terminal so that the terminal may, according to the data transmission conditions of each serving cell, execute random access on a serving cell experiencing wave beam failure so as to update a service beam of the serving cell. Thus, when the terminal experiences wave beam failure in a serving cell in a carrier aggregation (CA) scenario, reliable data transmission may be achieved, and the reliability of data transmission may be effectively ensured.

This disclosure relates to methods and devices for mitigating overheating in a user equipment device (UE). The UE is configured to communicate over each of LTE and 5G NR and may be configured to communicate through 5G NR over each of a Sub-6GHz and a millimeter Wave (mmW) frequency band. The UE is configured to establish an ENDC connection with an enB and one or more gNBs. The UE implements intelligent transmission modification and cell measurement adjustments to mitigate overheating and reduce battery drain.