Samsung Electronics Co., Ltd.

Mitsubishi Electric Research Laboratories, Inc.

Yacong Ding

Hyukjoon Kwon

Philip Orlik

Kee-Bong Song

Toshiaki Koike-Akino

Kyeong Jin Kim

Milutin Pajovic

Nitin Jonathan Myers

Methods and an apparatus are provided. A method includes generating an intermediate symbol time recovery (STR) adjustment based on a difference between an estimated first arrival path (FAP) and an FAP offset and generating an accumulated STR adjustment based on at least the intermediate STR adjustment and a feedback STR adjustment.

Apparatus and method for symbol time recovery using feedback loop

Disclosed is an electronic device including a processor and memory, the processor being configured to perform frequency interpolation on a channel estimation at all resource elements (REs) located where a demodulation reference signal is transmitted, perform time interpolation on a frequency domain interpolated channel obtained from the frequency interpolation, and calculate an enhanced channel estimation based on channel estimates at REs in a frequency domain and REs in a time domain, the channel estimates being output from the time interpolation.

Enhancement of channel estimation in wireless communication based on supervised learning

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.

Systems, methods, and apparatus for symbol timing recovery based on machine learning

Methods and an apparatus are provided. A first method includes receiving an estimated first arrival path (FAP); processing the estimated FAP; providing a rounding operation on the processed estimated FAP to generate an adjustment value for adjusting a fast Fourier transform (FFT) window; determining a quantization error based on the processed estimated FAP; and summing the quantization error to the processed estimated FAR A second method includes receiving an estimated FAP; determining a weighted average of the estimated FAP; processing the weighted average of the estimated FAP; providing a rounding operation on the processed weighted average of the estimated FAP to generate an adjustment value for adjusting an FFT window; determining a delayed STR adjustment based on the processed weighted average of the estimated FAP in a previous time slot; and summing the delayed STR adjustment to the processed weighted average of the estimated FAP in a current time slot.

A radio receiver includes a channel estimator processing circuit including: a feature extractor configured to extract one or more features from a received signal, the features including a channel correlation estimated based on a reference signal in a current slot, the estimated channel correlation indicating a rate of change of a wireless channel over time; and a Doppler spread estimator configured to estimate a Doppler spread of the wireless channel by supplying the features to one or more Doppler shift predictors trained on training data across a training signal-to-noise ratio (SNR) range and across a training Doppler shift range, each Doppler shift predictor being trained on a portion of the training data corresponding to a different portion of the training data.

Doppler spread estimation based on supervised learning

A transmitter includes a plurality of antennas for beamforming with different angles of departure (AoD), an information interface to receive a sequence of symbols including a first symbol and a second symbol and a modulator to cause the plurality of antennas to form a transmission beam with an AoD selected according to a value of the first symbol and modulated according to a value of the second symbol.

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San Diego, CA, United States of America

Yacong Ding