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.

Certain features relate to systems and methods for optimizing the radio frequency characteristics of signals transmitted between a radio base station (RBS) and a distributed antenna system (DAS). A self-optimizing network (SON) entity can determine adjustments to radio frequency operations and management parameters at the RBS based on radio frequency parameters measured by a measurement and configuration module at the DAS. Adjustments to radio frequency operations and management parameters can include adjustments configured to compensate for signal latency caused by the DAS. Adjustments to radio frequency operations and management parameters can also include adjustments to signal gain due to noise rise caused by the DAS. The SON entity can also measure nominal receive power levels for the RBS for purposes of open loop power control.

Certain features relate to systems and methods for optimizing the radio frequency characteristics of signals transmitted between a radio base station (RBS) and a distributed antenna system (DAS). A self-optimizing network (SON) entity can determine adjustments to radio frequency operations and management parameters at the RBS based on radio frequency parameters measured by a measurement and configuration module at the DAS. Adjustments to radio frequency operations and management parameters can include adjustments configured to compensate for signal latency caused by the DAS. Adjustments to radio frequency operations and management parameters can also include adjustments to signal gain due to noise rise caused by the DAS. The SON entity can also measure nominal receive power levels for the RBS for purposes of open loop power control.

A method for calibrating an active antenna system (AAS). The AAS comprises a radio unit and an antenna array. The radio unit comprises a plurality of transceiver branches. The method comprises calibrating at least one, but less then all, out of the plurality of transceiver branches as reference branch or branches. The method further comprises calibrating non-calibrated transceiver branch or branches out of the plurality of transceiver branches while the antenna array and the radio unit are connected. The disclosure further relates to a method for onsite automatic maintenance of an active antenna system, and to an active antenna system.

According to an embodiment of the present disclosure, a learning device may include a communication unit, database configured to store wireless environment data sets representing wireless environments between an image transmission device and an image reception device, and a processor configured to generate a plurality of wireless environment space types respectively mapped to the wireless environment data sets, generate a beamforming learning model by learning a correlation between antenna configuration factors and communication quality factors for each of the wireless environment space types, determine a wireless environment space type corresponding to the new wireless environment data set from among the plurality of wireless environment space types when a new wireless environment data set is received, and determine values of the antenna configuration factors using a beamforming learning model corresponding to the determined wireless environment space type.

According to an embodiment of the present disclosure, a learning device may include a communication unit, database configured to store wireless environment data sets representing wireless environments between an image transmission device and an image reception device, and a processor configured to generate a plurality of wireless environment space types respectively mapped to the wireless environment data sets, generate a beamforming learning model by learning a correlation between antenna configuration factors and communication quality factors for each of the wireless environment space types, determine a wireless environment space type corresponding to the new wireless environment data set from among the plurality of wireless environment space types when a new wireless environment data set is received, and determine values of the antenna configuration factors using a beamforming learning model corresponding to the determined wireless environment space type.

According to an embodiment, a method in a closed-loop antenna impedance tuning (CL-AIT) system is provided. The method includes determining whether a transmitted power is above a pre-determined threshold, when the transmitted power is above the pre-determined threshold, determining a bypass input reflection coefficient, determining whether the bypass input reflection coefficient is greater than a bypass threshold, and when the bypass input reflection coefficient is greater than the bypass threshold, determining an optimal tuner code based on a tuner code search algorithm.

According to an embodiment, a method in a closed-loop antenna impedance tuning (CL-AIT) system is provided. The method includes determining whether a transmitted power is above a pre-determined threshold, when the transmitted power is above the pre-determined threshold, determining a bypass input reflection coefficient, determining whether the bypass input reflection coefficient is greater than a bypass threshold, and when the bypass input reflection coefficient is greater than the bypass threshold, determining an optimal tuner code based on a tuner code search algorithm.

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.