Method for predicting channel state information and apparatus

1 . A method for predicting channel state information, comprising:

determining, by a user equipment, channel prediction information based on a reference signal from a network device, wherein the channel prediction information is useable to predict channel information; and

sending, by the user equipment, the channel prediction information to the network device;

wherein the channel information is constructed based on a group of angle vectors and a group of delay vectors, each angle vector of the group of angle vectors is constructed based on a corresponding angle parameter, each delay vector of the group of delay vectors is constructed based on a corresponding delay parameter, the channel prediction information comprises angle prediction information and delay prediction information, the angle prediction information is useable to predict the corresponding angle parameter of each angle vector of the group of angle vectors, and the delay prediction information is useable to predict the corresponding delay parameter of each delay vector of the group of delay vectors;

at a first moment n, a first angle parameter θ l1 (n) corresponding to a first angle vector l1 satisfies:

θ

l

⁢

1

(

n

)

=

∑

j

=

1

p

⁢

1

α

l

⁢

1

(

j

)

⁢

θ

l

⁢

1

(

n

-

j

)

where θ l1 (n−j) is a second angle parameter at a second moment n−j, α l1 (j) is first angle prediction information, and p1≥1; or

at the first moment n, a first delay parameter τ l2 (n) of a first delay vector l2 satisfies:

τ

l

⁢

2

(

n

)

=

∑

j

=

1

p

⁢

2

β

l

⁢

2

(

j

)

⁢

τ

l

⁢

2

(

n

-

j

)

where τ l2 (n−j) is a second delay parameter at the second moment n−j, β l2 (j) is first delay prediction information, and p2≥1.

2 . The method according to claim 1 , wherein

the channel information is constructed based on a weighted sum of a group of angle-delay pairs, each angle-delay pair of the group of angle-delay pairs corresponds to a weighting coefficient, and is constructed based on a corresponding angle vector in a group of angle vectors and a corresponding delay vector in a group of delay vectors, and

the channel prediction information comprises weighting coefficient prediction information useable to predict the weighting coefficient.

3 . The method according to claim 1 , wherein each piece of the channel prediction information is predicted based on an autoregressive algorithm.

4 . A communication apparatus, comprising:

a transceiver;

at least one processor; and

one or more non-transitory memories coupled to the at least one processor, and configured to store non-transitory instructions, and in response to being executed by the at least one processor, the non-transitory instructions cause the at least one processor to:

determine channel prediction information based on a reference signal from a network device, wherein the channel prediction information is useable to predict channel information; and

the transceiver is configured to:

send the channel prediction information to the network device;

wherein the channel information is constructed based on a group of angle vectors and a group of delay vectors, each angle vector of the group of angle vectors is constructed based on a corresponding angle parameter, each delay vector of the group of delay vectors is constructed based on a corresponding delay parameter, the channel prediction information comprises angle prediction information and delay prediction information, the angle prediction information is useable to predict the corresponding angle parameter of each angle vector of the group of angle vectors, and the delay prediction information is useable to predict the corresponding delay parameter of each delay vector of the group of delay vectors;

at a first moment n, a first angle parameter θ l1 (n) corresponding to a first angle vector l1 satisfies:

θ

l

⁢

1

(

n

)

=

∑

j

=

1

p

⁢

1

α

l

⁢

1

(

j

)

⁢

θ

l

⁢

1

(

n

-

j

)

where θ l1 (n−j) is a second angle parameter at a second moment n−j, α l1 (j) is first angle prediction information, and p1≥1; or

at the first moment n, a first delay parameter τ l2 (n) of a first delay vector l2 satisfies:

τ

l

⁢

2

(

n

)

=

∑

j

=

1

p

⁢

2

β

l

⁢

2

(

j

)

⁢

τ

l

⁢

2

(

n

-

j

)

where τ l2 (n−j) is a second delay parameter at the second moment n−j, β l2 (j) is first delay prediction information, and p2≥1.

5 . The communication apparatus according to claim 4 , wherein

the channel information is constructed based on a weighted sum of a group of angle-delay pairs, each angle-delay pair of the group of angle-delay pairs corresponds to a weighting coefficient, and is constructed based on a corresponding angle vector in a group of angle vectors and a corresponding delay vector in a group of delay vectors, and

the channel prediction information comprises weighting coefficient prediction information useable to predict the weighting coefficient.

6 . The communication apparatus according to claim 4 , wherein each piece of the channel prediction information is predicted based on an autoregressive algorithm.

7 . A communication apparatus, comprising:

at least one processor;

one or more non-transitory memories coupled to the at least one processor, and configured to store non-transitory instructions; at least one processor and

a transceiver configured to:

send a reference signal to a user equipment; and

receive channel prediction information from the user equipment, the channel prediction information is determined based on the reference signal, wherein the channel prediction information is useable to predict channel information;

wherein the channel information is constructed based on a group of angle vectors and a group of delay vectors, each angle vector of the group of angle vectors is constructed based on a corresponding angle parameter, each delay vector of the group of delay vectors is constructed based on a corresponding delay parameter, the channel prediction information comprises angle prediction information and delay prediction information, the angle prediction information is useable to predict the corresponding angle parameter of each angle vector of the group of angle vectors, and the delay prediction information is useable to predict the corresponding delay parameter of each delay vector of the group of delay vectors;

at a first moment n, a first angle parameter θ l1 (n) corresponding to a first angle vector l1 satisfies:

θ

l

⁢

1

(

n

)

=

∑

j

=

1

p

⁢

1

α

l

⁢

1

(

j

)

⁢

θ

l

⁢

1

(

n

-

j

)

where θ l1 (n−j) is a second angle parameter at a second moment n−j, α l1 (j) is first angle prediction information, and p1≥1; or

at the first moment n, a first delay parameter τ l2 (n) of a first delay vector l2 satisfies:

τ

l

⁢

2

(

n

)

=

∑

j

=

1

p

⁢

2

β

l

⁢

2

(

j

)

⁢

τ

l

⁢

2

(

n

-

j

)

where τ l2 (n−j) is a second delay parameter at the second moment n−j, β l2 (j) is first delay prediction information, and p2≥1.

8 . The communication apparatus according to claim 7 , wherein

the channel information is constructed based on a weighted sum of a group of angle-delay pairs, each angle-delay pair of the group of angle-delay pairs corresponds to a weighting coefficient, and is constructed based on a corresponding angle vector in a group of angle vectors and a corresponding delay vector in a group of delay vectors, and

the channel prediction information comprises weighting coefficient prediction information useable to predict the weighting coefficient.

9 . The communication apparatus according to claim 7 , wherein each piece of the channel prediction information is predicted based on an autoregressive algorithm.