An intelligent distributed antenna system is disclosed which improves upon known distributed antenna systems particularly with respect to identifying failures or anomalies in the system. The disclosed system includes a signal source, a master unit, and one or more remote units each connected to antennas for transmitting radio frequency signals to terminal units and each connected to the master unit through fiber. The remote units, the master unit, or both may include power signal readers. The remote units may be configured to determine a point of failure in the system based on the power measured from reflected signals. The master unit can be in communication with the remote units to generate alarms and reports as well as to control the system in response to detection of a failure or anomaly.

An intelligent distributed antenna system is disclosed which improves upon known distributed antenna systems particularly with respect to identifying failures or anomalies in the system. The disclosed system includes a signal source, a master unit, and one or more remote units each connected to antennas for transmitting radio frequency signals to terminal units and each connected to the master unit through fiber. The remote units, the master unit, or both may include power signal readers. The remote units may be configured to determine a point of failure in the system based on the power measured from reflected signals. The master unit can be in communication with the remote units to generate alarms and reports as well as to control the system in response to detection of a failure or anomaly.

The described embodiments set forth techniques for testing a wireless device configured to use an embedded Universal Integrated Circuit Card (eUICC) and excluding a removable UICC card. A test apparatus processes application protocol data units (APDUs) for conformance with a standardized test specification, where the APDUs are provided by an eSIM command handler client application that interfaces with a baseband processor in communication with the eUICC that includes test profiles with test applets.

A method of monitoring an antenna array comprises generating first image data at a first time. The first image data is reproducible as a first image of an antenna array unit. The method further comprises generating second image data at a second time. The second image data is reproducible as a second image of the antenna array unit. The method further comprises comparing the first image data and the second image data. The method further comprises transmitting an alert that is indicative of the presence of at least one with the antenna array unit at the second time. The alert is transmitted in response to the comparison between the first image data and the second image data indicating the presence of the at least one fault with the antenna array unit at the second time.

A method of monitoring an antenna array comprises generating first image data at a first time. The first image data is reproducible as a first image of an antenna array unit. The method further comprises generating second image data at a second time. The second image data is reproducible as a second image of the antenna array unit. The method further comprises comparing the first image data and the second image data. The method further comprises transmitting an alert that is indicative of the presence of at least one with the antenna array unit at the second time. The alert is transmitted in response to the comparison between the first image data and the second image data indicating the presence of the at least one fault with the antenna array unit at the second time.

A computer implemented method of handling threshold value of an antenna performance parameter of an antenna of a telecommunication network. A default antenna performance parameter threshold value of the antenna is obtained; a second antenna performance parameter threshold value for the antenna is determined based on the default antenna performance parameter threshold value and loss information related to the antenna, or based on gradually testing antenna performance parameter threshold values; and the second antenna performance parameter threshold value is taken into use for the antenna.

Disclosed is a method of a first wireless communication device configured for massive multi-user multiple-input multiple output (MU-MEMO) communication with two or more second wireless communication devices. The first wireless communication device comprises a plurality of antenna ports, each antenna port associated with at least one of a digital-to-analog converter (DAC) and an analog-to-digital converter (ADC). The method comprises acquiring an estimation of a communication channel between the first wireless communication device and the second wireless communication devices and acquiring an estimation of a quantization distortion caused by either DACs or ADCs. The method also comprises jointly determining (for the two or more second wireless communication devices) a transmission power and a transmission resource for each of the second wireless communication devices, wherein the joint determination is based on the estimation of the communication channel and on the estimation of the quantization distortion. Corresponding apparatus, network node and computer program product are also disclosed.

Disclosed is a method of a first wireless communication device configured for massive multi-user multiple-input multiple output (MU-MEMO) communication with two or more second wireless communication devices. The first wireless communication device comprises a plurality of antenna ports, each antenna port associated with at least one of a digital-to-analog converter (DAC) and an analog-to-digital converter (ADC). The method comprises acquiring an estimation of a communication channel between the first wireless communication device and the second wireless communication devices and acquiring an estimation of a quantization distortion caused by either DACs or ADCs. The method also comprises jointly determining (for the two or more second wireless communication devices) a transmission power and a transmission resource for each of the second wireless communication devices, wherein the joint determination is based on the estimation of the communication channel and on the estimation of the quantization distortion. Corresponding apparatus, network node and computer program product are also disclosed.

A method may include generating an estimated time offset based on a reference signal in a communication system, and adjusting a transform window in the communication system based on the estimated time offset, wherein the estimated time offset is generated based on machine learning. Generating the estimated time offset may include applying the machine learning to one or more channel estimates. Generating the estimated time offset may include extracting one or more features from one or more channel estimates, and generating the estimated time offset based on the one or more features. Extracting the one or more features may include determining a correlation between a first channel and a second channel. The correlation may include a frequency domain correlation between the first channel and the second channel. Extracting the one or more features may include extracting a subset of a set of features of the one or more channel estimates.

A method may include generating an estimated time offset based on a reference signal in a communication system, and adjusting a transform window in the communication system based on the estimated time offset, wherein the estimated time offset is generated based on machine learning. Generating the estimated time offset may include applying the machine learning to one or more channel estimates. Generating the estimated time offset may include extracting one or more features from one or more channel estimates, and generating the estimated time offset based on the one or more features. Extracting the one or more features may include determining a correlation between a first channel and a second channel. The correlation may include a frequency domain correlation between the first channel and the second channel. Extracting the one or more features may include extracting a subset of a set of features of the one or more channel estimates.