In at least one embodiment, a system for enabling wireless communication for a vehicle is provided. At least one controller to generate first information for the vehicle for transmission to at least one surrounding vehicle or an infrastructure external to the vehicle and to receive second information. The remote active antenna assembly to receive the first information over a cable and wirelessly receive over a wireless communication protocol, a control indicative of the remote active antenna assembly being in one of a transmit mode or a receive mode. The remote active antenna assembly to wirelessly transmit, via a remote active element, the first information in response to the control signal indicating that the remote active assembly is in the transmit mode and to wirelessly receive, via the remote active element, the second information in response to the control signal indicating that the remote active assembly is in the receive mode.

Systems and methods relating to self-calibration of an antenna array of a transceiver are disclosed. In some embodiments, a method of operation of a transceiver to perform self-calibration for transmit (Tx) antenna elements and receive (Rx) antenna elements in an antenna array comprises performing gain measurements and phase measurements for pairs of Tx and Rx antenna elements in the antenna array. The method further comprises processing the gain measurements and the phase measurements based on combinations of Tx and Rx antenna elements having symmetrical coupling properties to obtain gain and phase calibration values for the plurality of Tx antenna elements and the plurality of Rx antenna elements in the antenna array and applying the gain and phase calibration values at the transceiver. In this manner, self-calibration can be performed at the transceiver dynamically with low complexity.

Systems and methods relating to self-calibration of an antenna array of a transceiver are disclosed. In some embodiments, a method of operation of a transceiver to perform self-calibration for transmit (Tx) antenna elements and receive (Rx) antenna elements in an antenna array comprises performing gain measurements and phase measurements for pairs of Tx and Rx antenna elements in the antenna array. The method further comprises processing the gain measurements and the phase measurements based on combinations of Tx and Rx antenna elements having symmetrical coupling properties to obtain gain and phase calibration values for the plurality of Tx antenna elements and the plurality of Rx antenna elements in the antenna array and applying the gain and phase calibration values at the transceiver. In this manner, self-calibration can be performed at the transceiver dynamically with low complexity.

A transmitter device includes a transmitter circuit, a voltage generator circuit, and a calibration circuit. The transmitter circuit is configured to selectively operate in a calibration mode or a normal mode in response to a first control signal, in which the transmitter circuit has a first output terminal and a second output terminal. The voltage generator circuit is configured to generate a bias voltage, in which the bias voltage has a first level in the calibration mode and has a second level in the normal mode, and the first level is different from the second level. The calibration circuit is configured to be turned on in the calibration mode according to the bias voltage and a second control signal, in order to calibrate a level of the first output terminal and a level of the second output terminal.

A transmitter device includes a transmitter circuit, a voltage generator circuit, and a calibration circuit. The transmitter circuit is configured to selectively operate in a calibration mode or a normal mode in response to a first control signal, in which the transmitter circuit has a first output terminal and a second output terminal. The voltage generator circuit is configured to generate a bias voltage, in which the bias voltage has a first level in the calibration mode and has a second level in the normal mode, and the first level is different from the second level. The calibration circuit is configured to be turned on in the calibration mode according to the bias voltage and a second control signal, in order to calibrate a level of the first output terminal and a level of the second output terminal.

Techniques are provided which may be implemented using various methods and/or apparatuses in a mobile device to address maximum permissible exposure (MPE) proximity sensor failure. A mobile device may include a maximum permissible exposure (MPE) sensor control unit to actively monitor signals associated with proper operation of the MPE proximity sensors. Upon detecting an anomaly in any of these signals, such as a value drop below a given threshold, an MPE sensor control Unit will inform an AP (application processor, or other processor or controller) which in turn trigger display of a warning message on the display of the mobile device or the issuance of other warnings such an audible or tactile alert to inform the end user about the maximum permissible exposure (MPE) proximity sensor malfunction and/or notify the end use of a condition resulting in deactivation of the 5G new radio transceiver.

The implementation of “Machine learning and data analysis for RF testing and other hardware testing” can detect and discover RF test failures by analyzing data from RF calibration station. It can dramatically reduce production cost, optimize production line management, reduce field return cost, improve product quality, and increase precision and accuracy of RF stations on production line. Furthermore, this system providers reference for optimizing hardware configure, improve RF design, and discover indirect potential RF issues. At last, it provides a more thorough understanding of the multi-dimensional RF limits system. With the data collected and analyzed after rolling the system to the production line can be used to deliver a more comprehensive spec for better RF quality. This invention is not limited to cellular stations, but also applies to Bluetooth, WiFi, NFC and other RF stations. This system can also be extended to hardware testing stations other than RF stations with some adjustment.

The implementation of “Machine learning and data analysis for RF testing and other hardware testing” can detect and discover RF test failures by analyzing data from RF calibration station. It can dramatically reduce production cost, optimize production line management, reduce field return cost, improve product quality, and increase precision and accuracy of RF stations on production line. Furthermore, this system providers reference for optimizing hardware configure, improve RF design, and discover indirect potential RF issues. At last, it provides a more thorough understanding of the multi-dimensional RF limits system. With the data collected and analyzed after rolling the system to the production line can be used to deliver a more comprehensive spec for better RF quality. This invention is not limited to cellular stations, but also applies to Bluetooth, WiFi, NFC and other RF stations. This system can also be extended to hardware testing stations other than RF stations with some adjustment.

A vehicle-to-X communication system having a vehicle-to-X communication module. The vehicle-to-X communication module continuously carries out self-tests which are based on receiving test messages and evaluating test messages in order to recognize errors.

A vehicle-to-X communication system having a vehicle-to-X communication module. The vehicle-to-X communication module continuously carries out self-tests which are based on receiving test messages and evaluating test messages in order to recognize errors.