Samsung Electronics Co., Ltd.

Junyeong Seo

Jooyeol Yang

A QAM demodulator including a first calculation circuit including a real part returning circuit and an imaginary part returning circuit that derive, from a first complex symbol, an in phase (I) component and a quadrature phase (Q) component, respectively; first and second comparators for receiving the I and Q components, and based thereon, outputting respective bits of a bit string; first and second absolute value returning circuits that derive absolute values of the I and Q components ('abs(I)' and “abs(Q)”); first and second summers to sum each of abs(I) and abs(Q) with a first reference value and thereby provide first and second summed outputs; and a sub-QAM demodulator configured to QAM demodulate a second complex symbol and thereby output corresponding bits. I and Q components of the second complex symbol are based on the first and second summed outputs. The corresponding bits are remaining bits of the bit stream.

QAM demodulator having recursive structure

The present disclosure relates to an interference estimation method and apparatus. The apparatus includes at least one first processor, a serving channel matrix, and an interference channel matrix. The at least one first processor generates an input vector from at least one of a received signal vector corresponding to a received signal with a serving signal and an interference signal. The serving channel matrix corresponds to the serving signal. The interference channel matrix corresponds to the interference signal and a second processor. The second processor executes at least one machine learning model trained by sample input vectors and sample interference parameters. The at least one first processor provides the input vector to the second processor and determines interference parameters corresponding to the interference signal based on an output vector of the at least one machine learning model provided by the second processor.

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Yeosu-si, South Korea

Junyeong Seo