A device may receive sequential digital signals generated by a radio unit based on receipt of sequential radio frequency waveforms provided to ports of the radio unit by a signal generator and analyzer. The device may calculate uplink direction beamforming performance of the radio unit based on the sequential digital signals. The device may provide data identifying the uplink direction beamforming performance for display.

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.

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.

The disclosed exemplary apparatuses, systems and methods provide at least two realizations of synchronized antenna probe arrays. These antenna probe arrays may be used to generate and receive RF signals in a compact anechoic chamber for over the air antenna testing, or other applications such as far-field antenna test chambers. A compact anechoic chamber for over-the-air antenna testing may include at least: a chamber housing; an interchangeable irradiating test panel, integral to the chamber; a plurality of absorbing material at least partially lining an interior of the chamber and capable of directing the irradiating; at least one moveable cart suitable for moving and removing the antenna from the chamber; at least one panel interface for interconnecting the antenna and equipment for the testing, wherein a response of the antenna to the irradiating is communicated through the panel interface to the testing equipment; and at least one switch matrix for multiplexed switching of ones of signals of the testing.

A method and an apparatus for recognizing an absorptive radome coating on an apparatus for emitting electromagnetic radiation and receiving partial radiation reflected at objects is disclosed. The radome covers at least one antenna of the apparatus. A mixer mixes a frequency-modulated transmission signal with the signal received by the at least one antenna, the mixed product of the mixer is subjected to analog-to-digital conversion, the digitized signal is transformed into a two-dimensional spectrum, and the two-dimensional spectrum is mapped with a transfer function. The two-dimensional spectrum that was mapped with the transfer function is correlated with correlation matrices in order to carry out pattern recognition.

A method and an apparatus for recognizing an absorptive radome coating on an apparatus for emitting electromagnetic radiation and receiving partial radiation reflected at objects is disclosed. The radome covers at least one antenna of the apparatus. A mixer mixes a frequency-modulated transmission signal with the signal received by the at least one antenna, the mixed product of the mixer is subjected to analog-to-digital conversion, the digitized signal is transformed into a two-dimensional spectrum, and the two-dimensional spectrum is mapped with a transfer function. The two-dimensional spectrum that was mapped with the transfer function is correlated with correlation matrices in order to carry out pattern recognition.

The subject matter described herein includes methods, systems, and computer readable media for proactive network testing. One method for proactive network testing includes receiving, by a test controller and via a network tap, at least one metric associated with live network traffic; determining, by the test controller and using the at least one metric and a threshold value associated with the at least one metric, that a network test is to be performed; configuring, by the test controller, a first test agent to execute the network test; and executing, by the first test agent, the network test.

The subject matter described herein includes methods, systems, and computer readable media for proactive network testing. One method for proactive network testing includes receiving, by a test controller and via a network tap, at least one metric associated with live network traffic; determining, by the test controller and using the at least one metric and a threshold value associated with the at least one metric, that a network test is to be performed; configuring, by the test controller, a first test agent to execute the network test; and executing, by the first test agent, the network test.

A front end logic instance of a network function in a stateless architecture of a telecommunications network. The logic instance comprises a logic performer configured to perform network function logic to carry out at least part of a network function of the telecommunications network, the logic performer being configured to control a transmitter and receiver for transmission and reception of data with a backend database during performance of the network function logic. The logic instance comprises a timer subscriber configured to control the transmitter to transmit a request to the backend database to be notified about a timer event relating to a timer run on the backend database, the request comprising data indicating the timer event. The receiver is further configured to receive a notification that the timer event has occurred.

A front end logic instance of a network function in a stateless architecture of a telecommunications network. The logic instance comprises a logic performer configured to perform network function logic to carry out at least part of a network function of the telecommunications network, the logic performer being configured to control a transmitter and receiver for transmission and reception of data with a backend database during performance of the network function logic. The logic instance comprises a timer subscriber configured to control the transmitter to transmit a request to the backend database to be notified about a timer event relating to a timer run on the backend database, the request comprising data indicating the timer event. The receiver is further configured to receive a notification that the timer event has occurred.