Digital Signal Processing Reference
In-Depth Information
mization problem define the Lagrangian function
+ λ σ s
,
M− 1
M− 1
σ q k
x k |
ψ =
x k
p 0
(11 . 11)
H k | 2
k =0
k =0
where λ is the Lagrange multiplier. Setting ∂ψ/∂x k = 0 we get
σ q k
+ λσ s =0 ,
x k |
H k | 2
which yields
c 2 σ q k
x k =
,
(11 . 12)
|
H k |
σ s
where the constant c 2 =1 / λ should be such that the power constraint (11.9) is
satisfied, that is,
M− 1
1
p σ s
σ q m
c 2 =
.
(11 . 13)
|
H m |
m =0
The optimum multipliers α k therefore can be taken to be the nonnegative num-
bers defined by
α k,opt = c σ q k
|
1 / 2
.
(11 . 14)
H k |
σ s
From Eq. (11.4) we have
1
H k α k,opt
β k,opt =
(11 . 15)
which therefore yields
σ s
σ q k
1 / 2
1
= 1
c
1
|
β k,opt |
=
×
(11 . 16)
|
H k α k,opt |
|
H k | 1 / 2
The minimized objective function
E mse is obtained by substituting the optimal
α k into Eq. (11.8). The result is
M− 1
2
E ZF mmse = σ s
p 0
σ q k
|
.
(11 . 17)
H k |
k =0
A few remarks are in order:
1. Effective noise. Note that the quantity σ q k /
H k | 2 appears in all the ex-
pressions. This can be regarded as the effective noise variance of the k th
channel. This will become more clear when we discuss Fig. 11.4 below.
|
2. Power allocation. The signal power at the output of α k is the power input
to the k th channel H k . This is given by
P k = σ s α k,opt = γσ q k
|
H k |
where γ is a temporary notation for the constant part. Thus channels with
large effective noise σ q k /
H k | 2 get more power in the optimal system.
|
 
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