Electronic device for predicting channel in MIMO communication system and method of predicting the same

1 . An electronic device comprising:

processing circuitry configured to,

acquire training data corresponding to multiple antennas, the training data having a label and features, the label including a first channel value for a first time slot, and the features including a plurality of second channel values for a plurality of time slots before the first time slot;

train a channel prediction model based on the training data to obtain a trained channel prediction model; and

obtain a channel prediction value for a prediction time based on the trained channel prediction model,

wherein the processing circuitry is configured to:

estimate a respective channel value for each of a plurality of resource blocks (RBs) based on an uplink signal, the uplink signal including a pilot signal, and the pilot signal being received on the plurality of RBs through the multiple antennas; and

acquire the label and the features from a row vector of a matrix, a column vector of the matrix having the respective channel value for each of the plurality of RBs.

2 . The electronic device of claim 1 , wherein

the respective channel value for each of the plurality of RBs has a dimension of M×1, M being a number of the multiple antennas; and

the label and each of the features has a dimension of 1×L, L being a number of the plurality of RBs.

3 . The electronic device of claim 1 , wherein the processing circuitry is configured to train the channel prediction model to minimize an error between a result value of the channel prediction model and the label.

4 . The electronic device of claim 1 , wherein the channel prediction model is based on a Multi-Layer Perceptron (MLP).

5 . The electronic device of claim 1 , wherein a number of the plurality of time slots is set based on a moving speed of a user equipment that transmits the uplink signal.

6 . The electronic device of claim 1 , wherein the channel prediction model includes only one model.

7 . The electronic device of claim 1 , wherein

the first channel value for the first time slot is

q

n

+

1

α

;

and

the plurality of second channel values are

q

n

-

n

0

+

1

α

,

…

,

q

n

α

,

α being a value from 1 to M, M being a number of the multiple antennas, and n being a natural number.

8 . The electronic device of claim 1 , wherein the processing circuitry is configured to reduce a time dimension of the training data.

9 . A method of predicting a channel, the method comprising:

acquiring training data corresponding to multiple antennas, the training data having a label and features, the label including a first channel value for a first time slot, and the features including a plurality of second channel values for a plurality of time slots before the first time slot;

training a channel prediction model based on the training data to obtain a trained channel prediction model; and

obtaining a channel prediction value for a prediction time based on the trained channel prediction model,

wherein the acquiring of the training data comprises:

estimating a respective channel value defined for each of a plurality of resource blocks (RBs) based on an uplink signal, the uplink signal including a pilot signal, and the pilot signal being received on the plurality of RBs through the multiple antennas; and

acquiring the label and the features from a row vector of a matrix, a column vector of the matrix having the respective channel value for each of the plurality of RBs.

10 . The method of claim 9 , wherein

the respective channel value for each of the plurality of RBs has a dimension of M×1, M being a number of the multiple antennas; and

the label and each of the features has a dimension of 1×L, L being a number of the plurality of RBs.

11 . The method of claim 9 , wherein the training of the channel prediction model includes training the channel prediction model to minimize an error between a result value of the channel prediction model and the label.

12 . The method of claim 9 , wherein a number of the plurality of time slots is set based on a moving speed of a user equipment that transmits the uplink signal.

13 . The method of claim 9 , wherein the channel prediction model includes only one model.

14 . The method of claim 9 , wherein

the first channel value for the first time slot is

q

n

+

1

α

;

and

the plurality of second channel values are

q

n

-

n

0

+

1

α

,

…

,

q

n

α

,

α being a value from 1 to M, M being a number of the multiple antennas, and n being a natural number.

15 . The method of claim 9 , further comprising:

reducing a time dimension of the training data.

16 . A base station comprising:

a transceiver configured to receive an uplink signal via multiple antennas, the uplink signal including a pilot signal on a plurality of resource blocks (RBs); and

processing circuitry connected to the transceiver, the processing circuitry being configured to,

acquire training data corresponding to the multiple antennas, the training data having a label and features, the label including a first channel value for a first time slot, and the features including a plurality of second channel values for a plurality of time slots before the first time slot,

train a channel prediction model based on the training data to obtain a trained channel prediction model, and

obtain a channel prediction value for a prediction time based on the trained channel prediction model,

wherein the processing circuitry is configured to:

estimate a respective channel value for each of the plurality of RBs based on the uplink signal; and

acquire the label and the features from a row vector of a matrix, a column vector of the matrix having the respective channel value for each of the plurality of RBs.

17 . The base station of claim 16 , wherein

the respective channel value for each of the plurality of RBs has a dimension of M×1, M being a number of the multiple antennas; and

the label and each of the features has a dimension of 1×L, L being a number of the plurality of RBs.