Electronic device for predicting channel in MIMO communication system and method of predicting the same
View Patent ↗An electronic device which includes 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.
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.