Abstract: A system and a method are disclosed. The method includes partitioning channel state information (CSI) into one or more discrete elements based on a predetermined dimension; categorizing the partitioned CSI into one or more bins having an equal length; and encoding the categorized partitioned CSI.

Abstract: A satellite is provided, including an onboard computing device. The onboard computing device may include a processor configured to receive training data while the satellite is in orbit. The processor may be further configured to perform training at a machine learning model based at least in part on the training data. The processor may be further configured to generate model update data that specifies a modification made to the machine learning model during the training. The processor may be further configured to transmit the model update data from the satellite to an additional computing device.

Abstract: A satellite is provided, including an onboard computing device. The onboard computing device may include a processor configured to receive training data while the satellite is in orbit. The processor may be further configured to perform training at a machine learning model based at least in part on the training data. The processor may be further configured to generate model update data that specifies a modification made to the machine learning model during the training. The processor may be further configured to transmit the model update data from the satellite to an additional computing device.

Abstract: A communication device and method of controlling the same are provided. A communication device includes a transceiver that receives a radio signal and a processor electrically connected to the transceiver, and is configured to store a data signal including data received through the radio signal in a first buffer according to a first delay period, store a channel signal including channel estimation information on a transmission channel of the radio signal in a second buffer according to a second delay period, determines a coefficient of a low pass filter and a group delay related to the low pass filter based on information related to the radio signal, and output at least one of the channel signals stored in the second buffer based on the determined group delay and the first delay period to perform equalizing.

Abstract: A terminal including a transmitter and a receiver is provided. The receiver includes a pilot detection unit configured to detect a pilot signal from a received signal; a low-pass filter configured to filter noise from the pilot signal; a channel equalizer configured to perform channel equalization for data of the received signal, based on the filtered pilot signal; and a channel estimation controller configured to adaptively adjust at least one of a coefficient and an order of the low-pass filter, wherein the coefficient of the low-pass filter is controlled according to characteristics of the pilot signal, and the order of the low-pass filter is controlled according to transmission characteristics of the data of the received signal.

Abstract: A communication device and method of controlling the same are provided. A communication device includes a transceiver that receives a radio signal and a processor electrically connected to the transceiver, and is configured to store a data signal including data received through the radio signal in a first buffer according to a first delay period, store a channel signal including channel estimation information on a transmission channel of the radio signal in a second buffer according to a second delay period, determines a coefficient of a low pass filter and a group delay related to the low pass filter based on information related to the radio signal, and output at least one of the channel signals stored in the second buffer based on the determined group delay and the first delay period to perform equalizing.

Abstract: A terminal including a transmitter and a receiver is provided. The receiver includes a pilot detection unit configured to detect a pilot signal from a received signal; a low-pass filter configured to filter noise from the pilot signal; a channel equalizer configured to perform channel equalization for data of the received signal, based on the filtered pilot signal; and a channel estimation controller configured to adaptively adjust at least one of a coefficient and an order of the low-pass filter, wherein the coefficient of the low-pass filter is controlled according to characteristics of the pilot signal, and the order of the low-pass filter is controlled according to transmission characteristics of the data of the received signal.

Abstract: Disclosed herein is a low-cost digital predistortion apparatus using envelope detection feedback. The low-cost digital predistortion apparatus includes a digital predistortion unit and an envelope detection feedback unit. The digital predistortion unit converts the output of a predistorter into analog signals, frequency-modulates the analog signals into a pass band signal, and amplifies the frequency-modulated signal via a power amplifier. The envelope detection feedback unit converts the difference between the input and output of the power amplifier of the digital predistortion unit and the output of the power amplifier into baseband signals, respectively, converts the baseband signals into digital signals, estimates the nonlinear distortion characteristic output of the power amplifier, calculates a predistortion parameter that is used to compensate for the estimated nonlinear distortion characteristic output of the power amplifier.

Abstract: Disclosed herein is a low-cost digital predistortion apparatus using envelope detection feedback. The low-cost digital predistortion apparatus includes a digital predistortion unit and an envelope detection feedback unit. The digital predistortion unit converts the output of a predistorter into analog signals, frequency-modulates the analog signals into a pass band signal, and amplifies the frequency-modulated signal via a power amplifier. The envelope detection feedback unit converts the difference between the input and output of the power amplifier of the digital predistortion unit and the output of the power amplifier into baseband signals, respectively, converts the baseband signals into digital signals, estimates the nonlinear distortion characteristic output of the power amplifier, calculates a predistortion parameter that is used to compensate for the estimated nonlinear distortion characteristic output of the power amplifier.