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Evaluation Warning : The document was created with Spire.PDF for Python.
IS
S
N
:
1693
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6930
T
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579
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5
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pe
c
t
ru
m
e
ff
i
c
i
e
n
c
y
,
n
e
w
t
r
e
nd
of
P
D
M
A
a
nd
CR
i
s
i
nt
r
oduc
e
d
a
s
CR
-
i
ns
p
i
re
d
P
D
M
A
a
s
i
n
[17]
.
T
h
e
a
ut
hors
s
t
udi
e
d
di
ff
e
re
nt
re
c
e
i
v
i
ng
qua
l
i
t
i
e
s
of
t
w
o
P
D
M
A
s
ys
t
e
m
s
i
n
t
w
o
s
c
he
m
e
s
,
s
uc
h
a
s
fi
x
e
d
pow
e
r
a
l
l
oc
a
t
i
on
P
D
M
A
a
nd
CR
-
i
ns
p
i
re
d
P
D
M
A
.
T
o
g
ua
r
a
nt
e
e
t
h
e
c
ha
n
ne
l
qu
a
l
i
t
y
of
a
us
e
r
w
ho
m
e
e
t
s
a
po
or
c
ha
n
ne
l
c
ond
i
t
i
on,
t
h
e
CR
-
i
ns
p
i
re
d
P
D
M
A
i
s
r
e
c
o
m
m
e
nd
e
d
[17]
.
T
o
e
v
a
l
u
a
t
e
s
ys
t
e
m
pe
rfor
m
a
n
c
e
,
t
h
e
C
R
-
i
ns
p
i
re
d
P
D
M
A
i
ndi
c
a
t
e
d
be
t
t
e
r
fa
i
rn
e
s
s
i
n
t
e
rm
of
s
pe
c
t
r
um
a
l
l
o
c
a
t
i
on
c
om
p
a
r
e
d
w
i
t
h
t
h
e
fi
x
e
d
-
p
ow
e
r
-
a
l
l
oc
a
t
i
on
P
D
M
A
.
In
ot
h
e
r
w
ork,
t
he
pow
e
r
a
l
l
o
c
a
t
i
o
n
s
c
h
e
m
e
i
s
d
e
ve
l
ope
d
for
t
w
o
s
e
c
onda
ry
us
e
r
(S
U
s
)
e
xi
s
t
i
ng
i
n
t
h
e
P
D
M
A
-
e
n
a
b
l
e
d
und
e
rl
a
y
C
R
(CR
P
D
M
A
).
S
u
c
h
CR
P
D
M
A
i
s
de
pl
o
y
t
o
e
nh
a
nc
e
t
he
s
p
e
c
t
ra
l
e
f
fi
c
i
e
nc
y
b
y
us
i
ng
i
n
t
e
rf
e
re
nc
e
c
a
n
c
e
l
l
a
t
i
on
[1
8].
T
hus
,
t
o
gre
a
t
l
y
i
m
prov
e
t
he
s
pe
c
t
ru
m
ut
i
l
i
z
a
t
i
o
n,
P
D
M
A
i
s
prop
os
e
d
t
o
i
n
t
e
gra
t
e
i
n
t
o
unde
r
l
a
y
CR
w
i
t
h
pow
e
r
c
ons
t
r
a
i
n
t
s
.
M
ot
i
v
a
t
e
d
by
[19
-
25
]
t
hi
s
pa
pe
r
a
na
l
yz
e
s
t
he
ou
t
a
g
e
a
nd
t
hr
oughpu
t
pe
rf
orm
a
n
c
e
by
a
p
pl
y
i
ng
t
he
P
D
M
A
pro
t
o
c
ol
i
n
a
C
R
n
e
t
w
o
rk.
In
t
h
i
s
s
i
t
u
a
t
i
on,
w
e
c
ons
i
d
e
rs
s
ys
t
e
m
pe
rfo
rm
a
nc
e
i
n
a
dow
n
l
i
nk
c
om
m
un
i
c
a
t
i
on
s
c
e
n
a
ri
o
.
T
he
ne
t
w
ork
i
s
c
o
m
pos
e
d
of
a
p
a
i
r
of
P
D
M
A
us
e
rs
,
a
pri
m
a
r
y
ne
t
w
ork
c
on
t
a
i
ni
ng
ba
s
e
s
t
a
t
i
o
n
(BS
)
a
n
d
us
e
r
w
h
i
l
e
t
he
s
ourc
e
i
n
s
e
c
onda
ry
n
e
t
w
ork
n
e
e
d
a
he
l
pi
ng
r
e
l
a
y
t
o
forw
a
rd
s
i
gna
l
t
o
fa
r
us
e
r.
W
e
a
s
s
um
e
t
h
a
t
a
l
l
e
nd
-
us
e
rs
o
pe
r
a
t
e
i
n
t
he
P
D
M
A
t
r
a
ns
m
i
s
s
i
on
pr
ot
o
c
ol
a
t
t
he
s
a
m
e
t
i
m
e
.
T
he
m
a
i
n
c
ont
r
i
bu
t
i
ons
a
r
e
s
u
m
m
a
r
i
z
e
d
a
s
f
ol
l
ow
s
.
-
W
e
p
ropos
e
a
n
e
w
und
e
r
l
a
y
CR
P
D
M
A
-
e
n
a
bl
e
d
t
ra
ns
m
i
s
s
i
on
a
nd
prov
i
de
pe
rfor
m
a
n
c
e
g
a
p
of
t
w
o
P
D
M
A
us
e
rs
t
o
s
a
t
i
s
fy
t
he
qu
a
l
i
t
y
of
s
e
rvi
c
e
(Q
oS
)
re
qui
r
e
m
e
n
t
s
of
s
uc
h
CR
P
D
M
A
s
ys
t
e
m
.
-
W
e
for
m
u
l
a
t
e
e
xa
c
t
ou
t
a
g
e
prob
a
bi
l
i
t
y
for
t
w
o
P
D
M
A
us
e
r
s
w
hi
l
e
s
a
t
i
s
fy
i
ng
a
g
i
ve
n
fi
x
ed
pow
e
r
a
l
l
oc
a
t
i
on
fa
c
t
ors
.
T
he
n
,
w
e
c
onf
i
r
m
ou
t
a
ge
pe
r
form
a
n
c
e
a
n
d
c
orr
e
s
pon
di
ng
t
hro
ughpu
t
i
n
num
e
ri
c
a
l
re
s
ul
t
s
.
-
W
e
a
na
l
yz
e
t
he
ov
e
ra
l
l
ne
t
w
ork
pe
rf
orm
a
n
c
e
,
s
t
u
dy
t
he
pr
obl
e
m
of
fi
x
e
d
p
ow
e
r
a
l
l
o
c
a
t
i
on
und
e
r
t
he
c
ons
t
r
a
i
n
t
of
t
he
s
ys
t
e
m
t
ot
a
l
pow
e
r
,
a
n
d
i
nd
i
c
a
t
e
nu
m
e
ri
c
a
l
m
e
t
ho
d
t
o
s
ol
ve
t
he
o
pt
i
m
a
l
pro
bl
e
m
of
t
hrough
put
pe
rfor
m
a
n
c
e
.
T
he
re
s
t
o
f
t
he
p
a
pe
r
i
s
org
a
ni
z
e
d
a
s
fo
l
l
ow
s
.
S
e
c
t
i
on
II
pre
s
e
nt
s
a
P
D
M
A
-
e
na
b
l
e
d
C
R
s
ys
t
e
m
w
i
t
h
a
p
a
i
r
of
P
D
M
A
e
nd
-
us
e
rs
a
r
e
s
e
rve
d
by
bot
h
s
ourc
e
s
i
n
pr
i
m
a
ry
ne
t
w
ork
a
n
d
s
e
c
ond
a
ry
n
e
t
w
o
rk,
s
e
c
onda
ry
s
ourc
e
us
i
ng
on
e
r
e
l
a
y
t
o
s
e
rv
e
f
a
r
P
D
M
A
us
e
r
.
I
n
S
e
c
t
i
on
I
II,
w
e
e
xt
e
nd
our
s
t
udy
t
o
a
s
i
t
ua
t
i
on
w
i
t
h
f
i
x
e
d
pow
e
r
a
l
l
o
c
a
t
i
on
t
o
de
r
i
ve
out
a
ge
prob
a
bi
l
i
t
y
a
n
d
c
or
re
s
po
ndi
ng
t
hroug
hput
of
ov
e
ra
l
l
s
ys
t
e
m
.
S
i
m
u
l
a
t
i
on
re
s
ul
t
s
a
r
e
s
how
n
i
n
S
e
c
t
i
o
n
IV
,
a
nd
c
o
nc
l
us
i
ons
a
r
e
pre
s
e
nt
e
d
i
n
S
e
c
t
i
on
V
.
2.
S
Y
S
TEM
M
O
D
EL
A
N
D
C
A
LC
U
LA
TI
O
N
S
O
F
S
N
R
In
t
hi
s
a
r
t
i
c
l
e
,
w
e
c
ons
i
d
e
r
a
c
om
m
un
i
c
a
t
i
on
w
i
t
h
C
R
P
D
M
A
m
od
e
l
a
s
s
how
n
i
n
F
i
gur
e
1
.
T
hi
s
m
ode
l
c
o
ns
i
s
t
s
pr
i
m
a
ry
n
e
t
w
or
k
c
on
t
a
i
ni
n
g
a
b
a
s
e
s
t
a
t
i
on
(BS
)
a
nd
f
a
r
P
D
M
A
us
e
r
,
a
s
e
c
o
nda
r
y
ne
t
w
ork
c
ont
a
i
n
i
ng
s
our
c
e
,
r
e
l
a
y
R
a
nd
fa
r
P
D
M
A
us
e
r
.
A
l
l
e
n
t
i
t
i
e
s
i
n
t
he
ne
t
w
ork
a
r
e
e
qu
i
pp
e
d
w
i
t
h
s
i
n
gl
e
a
nt
e
nna
a
nd
t
he
c
o
m
m
uni
c
a
t
i
o
n
of
pri
m
a
ry
a
nd
s
e
c
o
nda
r
y
s
ys
t
e
m
op
e
ra
t
e
s
i
n
us
i
ng
t
h
e
P
D
M
A
t
ra
ns
m
i
s
s
i
o
n
pri
nc
i
pl
e
s
.
A
s
s
um
i
ng
t
ha
t
bo
t
h
t
he
re
l
a
y
a
nd
t
w
o
P
D
M
A
us
e
rs
c
a
n
e
s
t
i
m
a
t
e
t
he
s
e
c
ond
a
ry
a
nd
pri
m
a
ry
c
ha
n
ne
l
s
by
s
o
m
e
l
e
a
rn
i
ng
proc
e
s
s
e
s
i
n
t
he
a
c
t
u
a
l
s
i
t
u
a
t
i
on
,
t
he
y
c
a
n
b
e
a
w
a
r
e
of
t
h
e
c
ha
nne
l
s
t
a
t
e
i
nfor
m
a
t
i
on
(
CS
I)
of
a
l
l
t
he
c
h
a
nn
e
l
s
pe
rfe
c
t
l
y.
I
n
a
dd
i
t
i
o
n,
a
l
l
c
ha
n
ne
l
s
a
r
e
a
s
s
um
e
d
t
o
be
q
ua
s
i
-
s
t
a
t
i
c
Ra
yl
e
i
g
h
f
a
d
i
ng,
w
h
e
re
t
he
c
ha
nn
e
l
c
oe
f
fi
c
i
e
nt
s
a
r
e
c
o
ns
t
a
nt
fo
r
e
a
c
h
t
r
a
ns
m
i
s
s
i
on
bl
oc
k
bu
t
va
ry
i
nde
p
e
nd
e
nt
l
y
be
t
w
e
e
n
di
ff
e
re
nt
bl
o
c
ks
.
F
i
gure
1
.
S
ys
t
e
m
m
od
e
l
of
j
oi
nt
CR
a
nd
PD
MA
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1
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Rx
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h
h
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e
c
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In
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M
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R
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t
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de
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e
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t
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i
s
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v
e
n
by;
2
1
1
,
1
1
,
1
.
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U
x
S
U
h
=
(6)
A
l
s
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n
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r
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c
t
l
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of
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ond
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ry
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by
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2
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,
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.
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U
x
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h
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3.
O
U
TA
G
E
P
R
O
BA
BI
LI
TY
A
N
D
T
H
R
O
U
G
H
P
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T
A
N
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L
Y
S
I
S
In
t
hi
s
s
e
c
t
i
on,
w
e
i
nv
e
s
t
i
ga
t
e
d
t
he
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t
a
g
e
b
e
ha
v
i
or
for
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he
CR
P
D
M
A
dow
n
l
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nk
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oop
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ra
t
i
v
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ne
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w
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w
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t
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pe
r
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t
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I
.
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o
t
h
i
s
e
n
d,
e
x
a
c
t
e
xp
re
s
s
i
ons
f
or
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he
o
ut
a
ge
p
roba
bi
l
i
t
y
i
s
s
t
ud
i
e
d
fi
rs
t
.
I
n
ord
e
r
t
o
be
s
t
t
hrou
ghpu
t
a
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t
t
e
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und
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h
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e
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or
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n
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um
e
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c
a
l
m
e
t
hod
i
s
a
pp
l
i
e
d
t
o
s
how
t
hrough
put
,
w
hi
l
e
fa
i
rn
e
s
s
a
m
on
g
P
D
M
A
us
e
rs
s
a
t
i
s
f
i
e
d
,
re
g
i
m
e
.
W
e
us
e
M
a
xi
m
a
l
Ra
t
i
o
Co
m
b
i
ni
n
g
(M
RC)
t
o
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h
e
r
pro
c
e
s
s
s
i
gn
a
l
a
t
U
1
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2
a
s
e
xi
s
t
e
n
c
e
s
of
d
i
re
c
t
l
i
nk
a
nd
re
l
a
y
l
i
nk
b
e
t
w
e
e
n
t
he
BS
a
nd
P
D
M
A
e
nd
-
us
e
rs
.
3.
1
.
S
c
h
e
me
I
:
maxi
mal
r
a
ti
o
c
o
mb
i
n
i
n
g
(
M
R
C
)
A
t
e
a
c
h
d
e
s
t
i
na
t
i
on
,
t
w
o
l
i
nks
a
r
e
c
o
m
bi
n
e
d
a
nd
h
e
nc
e
S
N
R
i
n
s
uc
h
M
R
C
c
a
s
e
c
a
n
b
e
e
xpr
e
s
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e
d
a
t
U
1,
U
2
r
e
s
pe
c
t
i
ve
l
y
a
s
;
22
1
1
,
1
1
,
1
,
M
R
C
U
S
U
R
U
h
a
h
=+
(8)
Evaluation Warning : The document was created with Spire.PDF for Python.
IS
S
N
:
1693
-
6930
T
E
L
K
O
M
N
IK
A
T
e
l
e
c
om
m
un
Co
m
put
E
l
Con
t
rol
,
V
ol
.
18
,
N
o.
2
,
A
pri
l
2
020:
579
-
5
86
582
a
nd
2
2
2
,
2
2
2
,
2
2
1
,
2
.
1
RU
MRC
U
S
U
RU
ah
h
ah
=+
+
(9)
w
e
s
e
t
n
e
w
va
r
i
a
b
l
e
(
)
2
2
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t
he
n
,
t
h
e
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t
a
ge
prob
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l
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t
y
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t
us
e
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1
c
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n
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ve
n
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)
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)
23
1
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1
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1
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Pr
Pr
,
.
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R
C
U
U
R
x
R
x
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U
x
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A
P
=
+
(10)
propos
i
t
i
on
1:
t
he
c
l
os
e
d
-
f
orm
e
xpre
s
s
i
on
of
o
ut
a
ge
prob
a
b
i
l
i
t
y
a
t
us
e
r
U
1
c
a
n
b
e
gi
v
e
n
by
1
1
1
1
1
1
1
1
U
1
1
1
,
m
m
m
S
R
S
R
S
U
d
d
d
U
P
e
e
e
−
−
−
−
−
−
=
+
−
−
(11)
w
he
re
11
11
1
1
1
1
1
1
1
1
1
11
U1
1
1
1
1
11
mm
mm
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m
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a
d
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mm
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d
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e
e
d
d
a
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=
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−
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r
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f
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ng
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a
t
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on
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)
1
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1
1
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1
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1
1
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Pr
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.
M
R
C
U
S
U
R
U
R
U
A
h
a
h
h
a
=
=
−
(12)
T
he
n
,
i
t
c
a
n
be
fur
t
h
e
r
e
xpr
e
s
s
e
d
a
s
(
)
1
1
22
1
,
1
,
1
11
11
1
1
1
1
1
1
1
1
1
11
0
1
11
1
1
1
1
1
1
.
S
U
R
U
mm
mm
R
U
S
U
R
U
S
U
a
hh
a
m
a
dd
d
a
d
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mm
S
U
R
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A
F
a
x
f
x
d
x
d
e
e
e
d
d
a
−−
−−
−
−−
−−
−−
=−
=
−
−
−
−
(13)
T
he
n
,
t
w
o
re
m
a
i
ni
ng
c
o
m
pon
e
nt
c
a
n
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t
a
i
ne
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a
s
(
)
1
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2
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1
1
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,
m
SR
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d
A
e
−
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(14)
a
nd
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)
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1
1
1
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1
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.
mm
S
R
S
U
R
x
S
U
x
dd
A
ee
−−
−−
=
=
−
−
(15)
T
hi
s
i
s
e
nd
of
t
h
e
p
roof
.
S
i
m
i
l
a
r
l
y
,
ou
t
a
ge
prob
a
bi
l
i
t
y
a
t
us
e
r
U
2
c
a
n
be
c
o
m
pu
t
e
d
by
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
K
O
M
N
IK
A
T
e
l
e
c
om
m
un
Co
m
put
E
l
Con
t
rol
O
ut
age
and
t
hr
oughpu
t
pe
r
f
or
m
anc
e
o
f
c
ogn
i
t
i
v
e
r
ad
i
o
bas
e
d
pow
e
r
d
om
ai
n
bas
e
d
…
(D
i
n
h
-
T
huan
D
o)
583
(
)
(
)
(
)
23
1
2
2
2
,
2
2
,
2
2
2
2
,
2
2
P
r
P
r
P
r
,
.
M
R
C
U
U
R
x
R
x
S
U
x
BB
B
P
=
+
(16)
P
r
op
os
i
ti
on
2
:
T
h
e
c
l
os
e
d
-
f
orm
e
xpre
s
s
i
on
o
f
o
ut
a
ge
prob
a
b
i
l
i
t
y
a
t
us
e
r
U
2
c
a
n
be
gi
ve
n
by
:
(
)
(
)
22
2
2
2
2
2
22
0
2
2
2
1
21
1
1
1
,
!
m
m
m
R
U
S
R
S
U
n
m
d
d
d
SR
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n
m
m
m
n
S
R
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R
RU
d
e
P
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e
e
dd
n
d
a
−
−
−
−
−
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−
=
−
=
−
−
+
−
−
+
(17)
w
he
re
(
)
(
)
(
)
(
)
(
)
(
)
(
)
(
)
1
2
1
1
1
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11
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i
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i
1
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1
1
nn
n
k
k
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e
n
n
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++
+
=
−
+
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=
−
+
+
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1
2
m
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ad
−
=
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1
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mm
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a
d
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,
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1
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ad
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n
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2
2
2
2
2
11
2
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1
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mm
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mm
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ee
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P
r
oo
f
:
s
e
e
i
n
a
ppe
ndi
x
3.
2
.
S
c
h
e
me
I
I
:
s
e
l
e
c
ti
on
c
omb
i
n
i
n
g
(S
C
)
W
e
c
o
ns
i
d
e
r
o
ut
a
ge
pe
rfor
m
a
n
c
e
of
e
a
c
h
d
e
s
t
i
na
t
i
on
by
us
i
n
g
S
e
l
e
c
t
i
on
Com
b
i
ni
ng
(S
C)
a
s
;
(
)
(
)
1
1
1
,
1
1
,
1
1
1
,
1
1
2
2
2
1
1
1
1
,
1
1
,
,
1
1
P
r
1
P
r
,
P
r
1
P
r
,
.
U
S
U
x
R
x
R
U
x
S
U
S
R
R
U
OP
h
h
h
a
=
−
=
−
(18)
T
he
n
,
i
t
i
s
re
w
r
i
t
t
e
n
a
s
;
(
)
(
)
(
)
1
2
2
2
1
,
1
1
,
,
1
11
1
11
1
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1
1
1
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1
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11
1
0
1
1
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1
1
1
1.
S
U
S
R
R
U
m
m
m
m
m
m
S
R
R
U
S
R
R
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U
h
h
h
a
d
d
a
d
d
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d
d
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P
f
x
d
x
f
x
f
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d
x
d
y
e
e
e
−
−
−
−
−
−
−
+
−
+
+
−
=−
=
−
−
+
(19)
Cons
i
de
r
s
i
gna
l
a
t
t
h
e
s
e
c
o
nd
de
s
t
i
na
t
i
o
n,
out
a
g
e
p
e
rfor
m
a
nc
e
of
U
2
i
s
;
(
)
(
)
(
)
(
)
2
2
,
2
2
,
2
2
2
,
2
2
2
2
2
2
2
2
2
2
,
2
2
,
1
,
,
2
2
2
1
P
r
1
P
r
,
P
r
1
P
r
1
,
.
U
S
U
R
x
R
U
x
S
U
S
R
S
R
R
U
OP
h
h
h
h
aa
=
−
=
−
+
−
(20)
N
e
xt
,
i
t
c
a
n
be
re
w
r
i
t
t
e
n
a
s
;
(
)
(
)
(
)
(
)
(
)
(
)
(
)
(
)
2
2
2
2
2
2
,
2
1
,
2
,
,
2
22
2
2
1
22
2
2
2
2
2
1
2
2
2
2
1
2
2
22
2
00
1
1
1
1
1
1
2
2
1
2
1
1
S
U
S
R
S
R
R
U
m
m
m
m
m
m
S
R
R
U
S
R
R
U
S
U
SU
U
h
h
h
h
x
aa
m
d
d
a
a
d
d
a
a
d
d
SR
mm
S
R
S
R
O
P
f
x
dx
f
x
f
x
dx
dy
f
z
dz
d
e
e
e
dd
−
−
−
−
−
−
+
−
−
−
+
−
+
+
−
−−
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=
−
−
−
+
.
(21)
Evaluation Warning : The document was created with Spire.PDF for Python.
IS
S
N
:
1693
-
6930
T
E
L
K
O
M
N
IK
A
T
e
l
e
c
om
m
un
Co
m
put
E
l
Con
t
rol
,
V
ol
.
18
,
N
o.
2
,
A
pri
l
2
020:
579
-
5
86
584
T
he
n
,
w
e
furt
he
r
e
x
a
m
i
n
e
o
pt
i
m
a
l
t
hro
ughpu
t
i
n
c
a
s
e
of
f
i
x
e
d
da
t
a
r
a
t
e
s
a
re
know
n
.
S
u
c
h
s
ys
t
e
m
t
hro
ughpu
t
c
a
n
be
g
i
ve
n
by
(
)
(
)
1
1
2
2
11
UU
P
R
P
R
=
−
+
−
(22)
4.
N
U
M
ER
I
C
A
L
R
ES
U
LTS
In
t
hi
s
s
e
c
t
i
o
n,
our
p
a
r
a
m
e
t
e
rs
a
re
s
how
n
t
o
s
i
m
ul
a
t
e
,
i
.
e
.
po
w
e
r
a
l
l
oc
a
t
i
on
fa
c
t
ors
12
0
.
2
,
0
.
8
aa
==
,
t
a
rg
e
t
ra
t
e
s
1
2
R
=
,
2
0
.
5
R
=
,
di
s
t
a
n
c
e
s
1
1m
SR
d
=
,
2
1m
SR
d
=
,
1
2m
RU
d
=
,
2
4m
RU
d
=
,
1
1
1
1
S
U
S
R
R
U
d
d
d
=+
a
nd
2
2
2
2
S
U
S
R
R
U
d
d
d
=+
,
pa
t
h
-
l
os
s
e
xp
one
n
t
2
m
=
.
F
i
gur
e
2
s
how
s
i
m
p
a
c
t
o
f
t
a
r
ge
t
ra
t
e
s
on
ou
t
a
ge
pe
rfor
m
a
nc
e
.
In
a
dd
i
t
i
on
,
h
i
gh
e
r
t
ra
ns
m
i
t
S
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t
t
he
s
our
c
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node
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1,
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2
r
e
s
ul
t
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b
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hi
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i
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or
t
w
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de
r
e
d
s
c
he
m
e
s
.
F
i
gure
3
i
l
l
us
t
ra
t
e
s
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h
a
t
i
n
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re
a
s
i
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t
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s
m
a
k
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e
m
m
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t
out
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ve
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h
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s
f
i
gure
c
onfi
rm
s
t
ha
t
hi
gh
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t
ra
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m
i
t
S
N
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a
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s
o
urc
e
l
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m
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t
c
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b
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p
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us
e
r
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pa
r
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s
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m
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s
.
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c
a
n
be
fo
un
d
h
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ghe
s
t
t
hrou
ghpu
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a
t
op
t
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m
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l
t
a
rge
t
ra
t
e
a
s
i
n
F
i
gure
4.
T
h
i
s
re
s
ul
t
c
onf
i
rm
s
t
ha
t
op
t
i
m
a
l
t
h
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n
b
e
a
c
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e
ve
d
by
num
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ri
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l
m
e
t
hod
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c
a
n
b
e
s
e
e
n
s
l
i
ght
p
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rfor
m
a
n
c
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g
a
p
a
s
c
o
m
pa
r
i
ng
t
w
o
s
c
h
e
m
e
s
.
F
i
gure
2
.
O
u
t
a
g
e
pe
rf
orm
a
nc
e
ve
rs
us
t
r
a
ns
m
i
t
S
N
R
i
n
C
R
P
D
M
A
F
i
gure
3
.
O
u
t
a
g
e
pe
rf
orm
a
nc
e
ve
rs
us
t
a
rge
t
ra
t
e
s
of
CR
P
D
M
A
F
i
gure
4
.
T
hrou
ghput
p
e
rfor
m
a
nc
e
of
CR
P
D
M
A
v
e
rs
us
t
a
r
g
e
t
ra
t
e
s
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R
EF
ER
EN
C
ES
[
1]
A
.
G
o
l
ds
m
i
t
h,
S
.
A
.
J
a
f
a
r
,
I
.
M
a
r
i
c
,
a
nd
S
.
S
r
i
n
i
v
a
s
a
,
“
B
r
e
a
k
i
ng
s
pe
c
t
r
u
m
gr
i
d
l
oc
k
w
i
t
h
c
ogn
i
t
i
v
e
r
a
d
i
o
s
:
A
n
i
nf
o
r
m
a
t
i
on
t
h
e
or
e
t
i
c
pe
r
s
pe
c
t
i
ve
,
”
i
n
P
r
oc
e
e
d
i
ng
s
of
t
he
I
E
E
E
,
vol
.
97,
n
o.
5
,
pp.
8
94
-
914
,
M
a
y
2009
.
[
2]
L
.
L
v
,
J
.
C
he
n,
a
nd
Q
.
N
i
,
“
C
oope
r
a
t
i
ve
n
on
-
or
t
hog
ona
l
m
ul
t
i
p
l
e
a
c
c
e
s
s
i
n
c
ogn
i
t
i
v
e
r
a
d
i
o,
”
i
n
I
E
E
E
C
om
m
uni
c
at
i
on
s
L
e
t
t
e
r
s
,
vo
l
.
20
,
no
.
10
,
p
p.
20
59
-
206
2,
O
c
t
.
20
16
.
[
3]
X
.
K
a
ng
,
Y
.
C
.
L
i
a
ng
,
A
.
N
a
l
l
a
n
a
t
ha
n
,
H
.
K
.
G
a
r
g
,
a
nd
R
.
Z
ha
ng,
“
O
pt
i
m
a
l
p
ow
e
r
a
l
l
o
c
a
t
i
on
f
or
f
a
d
i
ng
c
ha
nne
l
s
i
n
c
ogn
i
t
i
ve
r
a
d
i
o
n
e
t
w
o
r
k
s
:
E
r
g
od
i
c
c
a
p
a
c
i
t
y
a
n
d
ou
t
a
ge
c
a
p
a
c
i
t
y
,
”
i
n
I
E
E
E
T
r
ans
a
c
t
i
on
s
o
n
W
i
r
e
l
e
s
s
C
om
m
uni
c
at
i
on
s
,
v
ol
.
8,
no
.
2
,
p
p.
9
40
-
950
,
F
e
b
.
2009
.
[
4]
Y
.
P
e
i
,
Y
.
C
.
L
i
a
ng
,
K
.
C
.
T
e
h
,
a
nd
K
.
H
.
L
i
,
“
S
e
c
u
r
e
c
o
m
m
un
i
c
a
t
i
on
i
n
m
ul
t
i
-
a
n
t
e
nna
c
og
ni
t
i
ve
r
a
d
i
o
ne
t
w
or
ks
w
i
t
h
i
m
pe
r
f
e
c
t
c
ha
nn
e
l
s
t
a
t
e
i
nf
o
r
m
a
t
i
on,
”
i
n
I
E
E
E
T
r
ans
ac
t
i
ons
on
S
i
g
nal
P
r
o
c
e
s
s
i
ng,
vo
l
.
59,
no
.
4
,
pp.
16
83
-
1693
,
A
pr
i
l
2
011
.
[
5]
Z
.
L
i
,
T
.
J
i
ng
,
X
.
C
h
e
ng
,
Y
.
H
uo
,
W
.
Z
ho
u,
a
nd
D
.
C
he
n
,
“
C
oop
e
r
a
t
i
ve
j
a
m
m
i
ng
f
o
r
s
e
c
u
r
e
c
o
m
m
un
i
c
a
t
i
on
s
i
n
M
I
M
O
c
oo
pe
r
a
t
i
v
e
c
ogn
i
t
i
v
e
r
a
di
o
n
e
t
w
o
r
k
s
,
”
i
n
201
5
I
E
E
E
I
nt
e
r
nat
i
ona
l
C
on
f
e
r
e
nc
e
on
C
om
m
un
i
c
a
t
i
ons
(
I
C
C
)
,
L
ondon
,
pp
.
7609
-
76
14
,
2
015
.
[
6]
P
.
H
.
L
i
n,
F
.
G
a
br
y,
R
.
T
hoba
be
n
,
E
.
A
.
J
or
s
w
i
e
c
k
,
a
nd
M
.
S
k
ogl
u
nd,
“
M
u
l
t
i
-
pha
s
e
s
m
a
r
t
r
e
l
a
y
i
ng
a
n
d
c
oop
e
r
a
t
i
ve
j
a
m
m
i
n
g
i
n
s
e
c
u
r
e
c
ogn
i
t
i
ve
r
a
d
i
o
ne
t
w
o
r
ks
,
”
i
n
I
E
E
E
T
r
a
ns
ac
t
i
ons
o
n
C
o
gn
i
t
i
v
e
C
om
m
u
ni
c
at
i
o
ns
and
N
e
t
w
o
r
k
i
ng
,
vol
.
2
,
n
o.
1
,
pp
.
3
8
-
5
2,
M
a
r
c
h
201
6.
[
7]
Y
.
Y
.
H
e
,
J
.
E
v
a
ns
,
a
nd
S
.
D
e
y
,
“
S
e
c
r
e
c
y
r
a
t
e
m
a
x
i
m
i
z
a
t
i
o
n
f
or
c
oop
e
r
a
t
i
ve
ove
r
l
a
y
c
og
ni
t
i
ve
r
a
d
i
o
ne
t
w
or
ks
w
i
t
h
a
r
t
i
f
i
c
i
a
l
no
i
s
e
,
”
20
14
I
E
E
E
I
n
t
e
r
na
t
i
ona
l
C
onf
e
r
e
nc
e
on
C
om
m
un
i
c
a
t
i
ons
(
I
C
C
)
,
S
yd
ne
y
,
N
S
W
,
pp.
16
63
-
1668
,
201
4.
[
8]
D
i
nh
-
T
hua
n
D
o,
"
P
ow
e
r
S
w
i
t
c
hi
n
g
P
r
o
t
oc
ol
f
or
T
w
o
-
w
a
y
R
e
l
a
yi
ng
N
e
t
w
o
r
k
und
e
r
H
a
r
dw
a
r
e
I
m
pa
i
r
m
e
n
t
s
,
"
R
a
di
o
e
ng
i
ne
e
r
i
n
g
,
V
ol
.
24
,
N
o.
3
,
pp
.
7
65
-
771
,
2015
.
[
9]
D
i
nh
-
T
hua
n
D
o,
H
.
-
S
.
N
gu
ye
n
,
M
.
V
oz
na
k
a
nd
T
.
-
S
.
N
guy
e
n,
”
W
i
r
e
l
e
s
s
pow
e
r
e
d
r
e
l
a
yi
n
g
ne
t
w
or
ks
u
nde
r
i
m
pe
r
f
e
c
t
c
ha
nne
l
s
t
a
t
e
i
n
f
o
r
m
a
t
i
on
:
s
ys
t
e
m
p
e
r
f
o
r
m
a
nc
e
a
nd
op
t
i
m
a
l
p
ol
i
c
y
f
o
r
i
ns
t
a
nt
a
ne
o
us
r
a
t
e
,
”
R
adi
o
e
ng
i
ne
e
r
i
ng
,
vo
l
.
26
,
no
.
3,
pp
.
869
-
8
77,
S
e
pt
e
m
be
r
2017
.
[
10]
X
.
N
guy
e
n
a
nd
D
i
n
h
-
T
h
ua
n
D
o,
“
O
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m
a
l
pow
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r
a
l
l
oc
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on
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nd
t
h
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t
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k
s
w
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-
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n
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l
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i
n
E
U
R
A
SI
P
J
our
nal
on
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s
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m
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he
re
(A
.
3)
c
a
n
b
e
obt
a
i
n
e
d.
S
ubs
t
i
t
u
t
i
ng
(A
.
2)
a
n
d
(A
.
3)
i
n
t
o
(A
.
1),
i
s
w
ri
t
t
e
n
a
s
(
)
(
)
(
)
(
)
(
)
(
)
(
)
(
)
(
)
1
2
2
1
1
1
1
1
1
11
1
00
2
1
1
1
1
E
i
E
i
1
!
1
1
!
m
RU
n
n
n
n
k
k
n
d
n
nk
e
a
e
B
e
e
n
n
n
n
k
n
−
++
+
−
+
==
−
−
+
−
=
−
−
−
+
+
+
+
−
(A
.
4)
N
e
xt
,
i
t
c
a
n
be
obt
a
i
ne
d
(
)
(
)
(
)
(
)
2
2
22
1
,
2
,
2
2
,
2
2
2
2
2
1
0
1
Pr
m
SR
S
R
S
R
Rx
m
d
SR
mm
hh
S
R
S
R
x
B
d
f
x
f
y
dx
dy
e
dd
−
−
−
−−
+
=
==
+
(A
.
5)
a
nd
3
=
(
|
ℎ
2
,
|
2
<
2
(
|
ℎ
1
,
|
2
+
1
)
,
|
ℎ
2
,
2
|
2
<
2
)
=
1
−
−
2
2
2
−
−
2
−
2
−
+
1
−
2
(
2
2
−
−
−
2
(
1
2
2
−
+
1
2
−
)
)
(A
.
6)
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