The apparatus automatically corrects deformation of directivity in a vertical plane caused by abnormality in transmission paths and receiving paths. The apparatus includes transmission system detection means (13-1 to 13-4) configured to individually detect abnormality occurring in each of the transmission paths, receiving system detection means (23-1 to 23-4) configured to individually detect abnormality occurring in each of the receiving paths, and control means (30, 40) configured, if any abnormal transmission path has been detected by the transmission system detection means (13-1 to 13-4), to correct deformation of directivity of the transmission antenna in a vertical plane caused due to abnormality in the transmission path by changing and setting a phase and an amplitude of the transmission signal passing through a normal transmission path, and if any abnormal receiving path has been detected by the receiving system detection means (23-1 to 23-4), to correct deformation of directivity of the receiving antenna in a vertical plane caused due to abnormality in the receiving path by changing and setting a phase and an amplitude of the receiving signal passing through a normal receiving path.

The apparatus automatically corrects deformation of directivity in a vertical plane caused by abnormality in transmission paths and receiving paths. The apparatus includes transmission system detection means (13-1 to 13-4) configured to individually detect abnormality occurring in each of the transmission paths, receiving system detection means (23-1 to 23-4) configured to individually detect abnormality occurring in each of the receiving paths, and control means (30, 40) configured, if any abnormal transmission path has been detected by the transmission system detection means (13-1 to 13-4), to correct deformation of directivity of the transmission antenna in a vertical plane caused due to abnormality in the transmission path by changing and setting a phase and an amplitude of the transmission signal passing through a normal transmission path, and if any abnormal receiving path has been detected by the receiving system detection means (23-1 to 23-4), to correct deformation of directivity of the receiving antenna in a vertical plane caused due to abnormality in the receiving path by changing and setting a phase and an amplitude of the receiving signal passing through a normal receiving path.

A method (200) is disclosed for testing of wireless power transfer equipment (20) that has a plurality of wireless power transmitters (22a-n) adapted for concurrent wireless power transfer to respective wireless power receiver devices (10a, 10a′, 10d). The method comprises providing (210) a number of slave test devices (30a-n), and providing (220) a master test device (40) in communicative connection with the slave test devices (30a-n). The method further comprises arranging (230) each slave test device (30a-n) in a position suitable for receiving power from a respective one of the wireless power transmitters (22a-n) of the wireless power transfer equipment (20) under test, and commanding (240; 110a-n), by the master test device (40), the slave test devices (30a-n) to perform respective test procedures (120a-n) upon the respective wireless power transmitters (22a-n) while being in concurrent operation. Finally, the method comprises receiving (250; 140a-n), by the master test device (40), result data (125a-n) from the respective test procedures (120a-n) performed by the slave test devices (30a-n), and providing (260; 170) an output (45) by the master test device (40), the output (45) being based on the respective result data (125a-n) obtained from the slave test devices (30a-n).

A method (200) is disclosed for testing of wireless power transfer equipment (20) that has a plurality of wireless power transmitters (22a-n) adapted for concurrent wireless power transfer to respective wireless power receiver devices (10a, 10a′, 10d). The method comprises providing (210) a number of slave test devices (30a-n), and providing (220) a master test device (40) in communicative connection with the slave test devices (30a-n). The method further comprises arranging (230) each slave test device (30a-n) in a position suitable for receiving power from a respective one of the wireless power transmitters (22a-n) of the wireless power transfer equipment (20) under test, and commanding (240; 110a-n), by the master test device (40), the slave test devices (30a-n) to perform respective test procedures (120a-n) upon the respective wireless power transmitters (22a-n) while being in concurrent operation. Finally, the method comprises receiving (250; 140a-n), by the master test device (40), result data (125a-n) from the respective test procedures (120a-n) performed by the slave test devices (30a-n), and providing (260; 170) an output (45) by the master test device (40), the output (45) being based on the respective result data (125a-n) obtained from the slave test devices (30a-n).

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.

Methods and systems for automated testing of extremely-high frequency devices are disclosed. A device under test (DUT) is set in a simultaneous transmit and receive mode. The DUT receives a lower frequency radio frequency (RF) signal from a test unit and up-converts the lower frequency RF signal to a higher frequency RF signal. The DUT transmits the higher frequency RF signal using a first antenna, and receives the higher frequency RF signal using a second antenna. The DUT down-converts the received higher frequency RF signal to a received test RF signal and provides the received test RF signal to the test unit for comparing measurements derived from the received test signal to a design specification for the DUT.

With increasingly dense wireless traffic in 5G and 6G networks, the incidence of message faults due to interference is increasing, leading to wasted time and energy on multiple re-transmissions. Disclosed are procedures for assembling a fault-free copy of a message from two corrupted copies. First, measure the modulation quality of each message element. A faulted message element usually has poor modulation quality. Then, select the best message elements from each of the two corrupted copies, and test the merged version against an embedded error-detection code. If the merged copy still fails the test, select each of the message elements that are different in the two faulted copies since they are all suspicious, and test each version with the error-detection code. By recovering a message despite reception errors, another transmission is avoided, saving time and energy, and avoiding contributing yet further to the background noise. Many additional aspects are disclosed.

With increasingly dense wireless traffic in 5G and 6G networks, the incidence of message faults due to interference is increasing, leading to wasted time and energy on multiple re-transmissions. Disclosed are procedures for assembling a fault-free copy of a message from two corrupted copies. First, measure the modulation quality of each message element. A faulted message element usually has poor modulation quality. Then, select the best message elements from each of the two corrupted copies, and test the merged version against an embedded error-detection code. If the merged copy still fails the test, select each of the message elements that are different in the two faulted copies since they are all suspicious, and test each version with the error-detection code. By recovering a message despite reception errors, another transmission is avoided, saving time and energy, and avoiding contributing yet further to the background noise. Many additional aspects are disclosed.

Systems, apparatuses, and methods are described for beam (or any other communication resource) failure recovery in wireless communications. A wireless device may determine if only a subset of serving beams have failed, and may perform beam failure recovery on other serving beams that have not failed.