Digital Signal Processing Reference
In-Depth Information
g
11
(
=
η
2
−
a
12
a
22
g
12
b
12
)
∗
h
21
−
h
22
(2.24)
g
21
g
22
b
22
)
∗
(
h
11
h
12
with the normalization conditions of the precoders represented by
1
2
a
11
|
2
a
21
|
2
b
11
|
2
b
21
|
2
|
+|
=|
+|
=
(2.25)
1
2
a
12
|
2
a
22
|
2
b
12
|
2
b
22
|
2
|
+|
=|
+|
=
(2.26)
linear equations, if numerical algorithms are used to solve these equations directly,
the encoding complexity will be increased exponentially with respect to the number
of users and antennas. So we need to find a low-complexity method to determine the
precoder parameters. First, we consider Eqs. (
2.23
) and (
2.25
).
From (
2.23
), we have
(
=
η
1
g
11
−
1
−
a
11
a
21
b
11
)
∗
g
12
h
21
−
h
22
(2.27)
b
21
)
∗
g
21
g
22
h
11
h
12
(
Let
g
11
−
1
−
g
12
h
21
−
h
22
Q
=
(2.28)
g
21
g
22
h
11
h
12
By (
2.25
) and (
2.27
), we have
η
1
Q
a
11
2
F
=
1
2
b
11
|
2
b
21
|
2
|
+|
=
(2.29)
a
21
Now, let us consider the Singular Value Decomposition of matrix
Q
, i.e.,
V
†
V
†
Q
=
U
Σ
=
U
diag
(λ
1
,λ
2
)
(2.30)
where
U
and
V
are unitary matrices and
Σ
is a diagonal matrix with nonnegative
diagonal elements
{
λ
1
,λ
2
}
η
1
U
V
†
a
11
a
21
2
F
=
1
2
Σ
(2.31)
Multiplying by a unitary matrix does not change the norm of a vector, so we have
η
1
Σ
V
†
a
11
a
21
2
F
=
1
2
(2.32)
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