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An
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s
in
g
a
s
im
p
le
m
u
lti
-
attr
ib
u
te
r
atin
g
tech
n
iq
u
e
(
SMART)
.
2
.
1
.
Ca
pa
ci
t
y
pla
nn
ing
C
ap
ac
ity
p
lan
n
in
g
s
er
v
es
to
d
eter
m
in
e
th
e
n
u
m
b
er
o
f
s
ite
s
b
ased
o
n
cu
s
to
m
er
n
ee
d
s
.
I
n
ca
p
ac
ity
p
lan
n
in
g
,
p
r
ed
ictio
n
s
o
f
th
e
p
o
p
u
latio
n
f
o
r
th
e
n
e
x
t
f
ew
y
ea
r
s
ar
e
ca
r
r
ied
o
u
t
u
s
in
g
as
(
1
)
[
1
0
]
.
W
h
er
e
i
s
th
e
cu
r
r
en
t
p
o
p
u
latio
n
,
is
th
e
g
r
o
wth
f
ac
t
o
r
,
an
d
n
is
th
e
n
u
m
b
er
o
f
esti
m
ated
y
ea
r
s
.
I
n
ad
d
i
tio
n
,
it
also
p
r
e
d
icts
th
e
n
u
m
b
er
o
f
L
T
E
s
u
b
s
cr
ib
er
s
b
y
m
u
ltip
ly
in
g
th
e
n
u
m
b
er
o
f
p
r
o
d
u
ctiv
e
ag
es with
th
e
m
ar
k
et
s
h
ar
e
v
alu
e
a
n
d
L
T
E
p
en
etr
atio
n
f
r
o
m
th
e
p
r
o
v
id
er
u
s
ed
.
C
ap
ac
ity
p
lan
n
in
g
al
s
o
co
n
s
id
er
s
th
e
th
r
o
u
g
h
p
u
t
v
al
u
e
f
o
r
ea
ch
s
er
v
ice
an
d
ce
ll c
ap
ac
ity
to
d
eter
m
in
e
th
e
n
u
m
b
er
o
f
s
ites
n
ee
d
ed
.
=
(
1
+
)
(
1
)
2
.
2
.
Co
v
er
a
g
e
pla
nn
ing
C
o
v
er
ag
e
p
lan
n
in
g
s
er
v
es
to
d
eter
m
in
e
th
e
n
u
m
b
er
o
f
s
ites
n
ee
d
ed
b
ased
o
n
t
h
e
c
o
v
er
ag
e
a
r
ea
in
th
e
ca
s
e
s
tu
d
y
.
I
n
co
v
er
ag
e
p
lan
n
i
n
g
,
m
ax
im
u
m
allo
wed
p
ath
lo
s
s
(
MA
PL)
is
ca
lcu
lated
u
s
in
g
as
(
2
)
.
W
h
er
e
is
ef
f
ec
tiv
e
is
o
tr
o
p
ic
r
ad
iated
p
o
wer
(
d
B
m
)
wh
ich
ca
n
b
e
c
alcu
lated
u
s
in
g
as
(
3
)
,
R
S
is
r
ec
eiv
er
s
en
s
itiv
ity
(
d
B
m
)
wh
ich
ca
n
b
e
ca
lcu
l
ate
d
u
s
in
g
as
(
4
)
,
I
M
is
in
ter
f
er
e
n
ce
m
ar
g
in
(
d
B
)
,
is
r
ec
ep
tio
n
lo
s
s
es
(
d
B
)
,
is
r
ec
ep
tio
n
g
ain
(
d
B
)
,
is
f
ad
in
g
m
ar
g
in
(
d
B
)
,
is
tr
an
s
m
i
s
s
i
o
n
p
o
wer
(
d
B
m
)
,
is
an
ten
n
a
g
ain
(
d
B
)
,
an
d
is
tr
an
s
m
is
s
io
n
lo
s
s
es
(
d
B
)
.
T
h
e
co
v
er
ag
e
p
lan
n
in
g
u
s
es
o
k
u
m
u
r
a
h
atta
f
o
r
f
r
e
q
u
en
c
y
7
0
0
MH
z
a
n
d
C
o
s
t
-
2
3
1
p
r
o
p
ag
atio
n
m
o
d
els f
o
r
2
1
0
0
MH
z
a
n
d
2
3
0
0
MH
z
[
1
1
]
–
[
1
4
]
.
=
−
−
−
+
−
(
2
)
=
+
−
(
3
)
=
(
)
+
+
(
4
)
2
.
3
.
Sig
na
l t
o
inte
rf
er
ence
no
is
e
ra
t
io
Sig
n
al
to
in
ter
f
e
r
en
ce
n
o
is
e
r
atio
(
SIN
R
)
is
th
e
r
atio
o
f
th
e
m
ain
s
ig
n
al
s
tr
en
g
th
to
th
e
r
esu
ltin
g
in
ter
f
er
en
ce
s
ig
n
al
(
n
o
is
e)
[
1
5
]
,
[
1
6
]
.
T
h
e
SIN
R
p
ar
am
ete
r
in
d
icate
s
th
e
m
in
im
u
m
p
o
wer
lev
el
a
t
wh
ich
th
e
u
s
er
ca
n
s
till
m
ak
e
a
ca
ll.
I
f
th
e
SIN
R
v
alu
e
is
b
elo
w
0
d
B
it
m
ea
n
s
th
e
r
ec
eiv
ed
s
ig
n
al
s
tr
e
n
g
th
is
b
ad
.
T
a
b
le
1
s
h
o
wn
th
e
r
an
g
e
o
f
SIN
R
q
u
al
ity
v
alu
es
[
1
7
]
.
T
ab
le
1
.
SIN
R
q
u
ality
v
al
u
e
r
a
n
g
e
S
I
N
R
v
a
l
u
e
s
(
d
B
)
Q
u
a
l
i
t
y
1
6
t
o
3
0
G
o
o
d
1
t
o
1
5
N
o
r
mal
-
10
t
o
0
P
o
o
r
2
.
4
.
T
hro
ug
hp
ut
T
h
r
o
u
g
h
p
u
t
is
a
p
ar
am
eter
v
alu
e
th
at
s
h
o
ws
th
e
s
p
ee
d
o
f
s
er
v
ice
r
ec
eiv
e
d
b
y
t
h
e
u
s
er
[
1
8
]
.
T
h
e
th
r
o
u
g
h
p
u
t
p
ar
am
eter
is
m
ea
s
u
r
ed
in
a
ce
r
tain
tim
e
u
n
it
with
th
e
n
etwo
r
k
c
o
n
d
itio
n
s
u
s
e
d
to
tr
an
s
f
er
d
ata.
T
h
r
o
u
g
h
p
u
t
q
u
ality
ca
n
b
e
s
aid
to
b
e
g
o
o
d
if
it h
as
a
v
alu
e
a
b
o
v
e
7
0
0
k
b
p
s
an
d
p
o
o
r
q
u
alit
y
if
it
is
b
elo
w
3
3
8
kbps
.
T
ab
le
2
s
h
o
wn
t
h
e
r
an
g
e
o
f
th
r
o
u
g
h
p
u
t
q
u
ality
v
al
u
es
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
F
r
eq
u
en
cy
r
ec
o
mme
n
d
a
tio
n
f
o
r
lo
n
g
term e
vo
lu
tio
n
n
etw
o
r
k
imp
leme
n
ta
tio
n
u
s
in
g
s
imp
le
…
(
P
u
tr
i A
n
g
elia
)
1565
T
ab
le
2
.
T
h
r
o
u
g
h
p
u
t
q
u
ality
v
alu
e
r
an
g
e
Th
r
o
u
g
h
p
u
t
(
k
b
p
s)
Q
u
a
l
i
t
y
>
1
2
0
0
V
e
r
y
G
o
o
d
7
0
0
–
1
2
0
0
G
o
o
d
3
3
8
–
7
0
0
F
a
i
r
0
–
3
3
8
P
o
o
r
2
.
5
.
Ref
er
ence
s
ig
na
l r
ec
eiv
e
po
wer
R
ef
er
en
ce
s
ig
n
al
r
ec
eiv
ed
p
o
w
er
(
R
SR
P)
is
an
in
d
icato
r
th
at
s
h
o
ws
th
e
s
ig
n
al
s
tr
en
g
th
o
f
th
e
eNo
d
eB
r
ec
eiv
ed
b
y
u
s
er
eq
u
ip
m
en
t
(
UE
)
[
1
8
]
.
T
h
e
R
SR
P v
alu
e
is
u
s
ed
to
s
h
o
w
th
e
q
u
ality
o
f
n
et
wo
r
k
co
v
er
ag
e
in
an
ar
ea
,
th
e
g
r
ea
ter
th
e
R
SR
P v
al
u
e,
th
e
b
etter
th
e
q
u
ality
o
f
th
e
s
ig
n
al
em
itted
b
y
th
e
tr
an
s
m
itter
.
T
ab
le
3
s
h
o
wn
t
h
e
r
an
g
e
o
f
R
SR
P q
u
ality
v
alu
es
[
1
7
]
.
T
ab
le
3
.
R
SR
P
q
u
ality
v
alu
e
r
an
g
e
R
S
R
P
v
a
l
u
e
s
(
d
B
m)
Q
u
a
l
i
t
y
R
S
R
P
≥
-
70
Ex
c
e
l
l
e
n
t
-
7
1
>
R
S
R
P
>
-
81
G
o
o
d
-
8
1
>
R
S
R
P
>
-
91
N
o
r
mal
-
9
1
>
R
S
R
P
>
-
1
0
1
P
o
o
r
R
S
R
P
<
-
101
V
e
r
y
P
o
o
r
2
.
6
.
I
nte
rna
l
ra
t
e
o
f
re
t
urn
I
n
ter
n
al
r
ate
o
f
r
etu
r
n
(
I
R
R
)
is
a
m
eth
o
d
u
s
ed
to
ca
lcu
late
th
e
lev
el
o
f
in
v
estme
n
t.
T
h
e
I
R
R
ca
lcu
latio
n
ca
n
b
e
u
s
ed
as
a
r
ef
er
e
n
ce
to
s
ee
wh
eth
er
th
e
b
u
s
in
ess
to
b
e
r
u
n
will
b
e
m
o
r
e
p
r
o
f
itab
le
o
r
n
o
t.
I
R
R
also
an
in
d
icato
r
o
f
th
e
lev
el
o
f
ef
f
ici
en
cy
o
f
an
in
v
estme
n
t
th
at
s
er
v
es
to
clea
r
ly
d
eter
m
in
e
th
e
r
ate
o
f
r
etu
r
n
o
f
a
b
u
s
in
ess
.
I
R
R
ca
lcu
latio
n
u
s
in
g
as
(
5
)
.
wh
er
e
is
th
e
ca
s
h
f
lo
w
p
er
y
ea
r
in
p
er
io
d
t,
0
is
th
e
in
iti
al
in
v
estme
n
t
in
y
ea
r
ze
r
o
,
n
is
th
e
n
u
m
b
er
o
f
y
ea
r
s
,
an
d
t is y
ea
r
t.
0
=
∑
(
1
+
)
=
1
(
5
)
2
.
7
.
Net
present
v
a
lue
Net
p
r
esen
t
v
alu
e
(
NPV)
is
th
e
d
if
f
er
e
n
ce
v
alu
e
b
etwe
en
e
x
p
en
s
es
an
d
in
c
o
m
e
in
a
ce
r
tai
n
p
er
io
d
.
I
n
g
en
er
al,
t
h
e
NPV
ca
lcu
latio
n
is
u
s
ed
to
p
r
o
ject
th
e
p
o
ten
tial
p
r
o
f
it
th
at
will
b
e
g
en
er
ated
o
n
an
in
v
estme
n
t
o
r
bu
s
in
ess
th
at
will
b
e
r
u
n
.
I
f
NPV>0
,
th
en
th
e
p
r
o
ject
is
f
ea
s
ib
le,
NPV=0
,
it
m
ea
n
s
th
e
co
m
p
an
y
h
as
n
eith
er
p
r
o
f
it n
o
r
lo
s
s
,
NPV<0
,
th
en
t
h
e
co
m
p
a
n
y
is
n
o
t
f
ea
s
ib
le
[
1
9
]
.
NPV
ca
lcu
latio
n
ca
n
b
e
ca
lc
u
lated
u
s
in
g
as
(
6
)
.
W
h
er
e
is
th
e
ca
s
h
f
lo
w
p
er
y
ea
r
in
p
er
io
d
t,
i is th
e
v
alu
e
o
f
in
ter
est r
at
e,
t
h
e
in
itial in
v
est
m
en
t in
y
ea
r
0
is
0
, n
is
th
e
t
o
tal
o
f
y
ea
r
s
,
an
d
t is y
ea
r
t.
=
∑
(
1
+
)
−
0
=
1
(
6
)
2
.
8
.
P
a
y
ba
c
k
perio
d
Pay
b
ac
k
p
er
io
d
(
PB
P)
is
a
p
er
io
d
th
at
s
h
o
ws
h
o
w
lo
n
g
th
e
c
ap
ital
is
s
u
ed
ca
n
b
e
r
etu
r
n
ed
.
T
h
e
f
aster
th
e
p
ay
b
ac
k
p
er
io
d
is
g
e
n
er
at
ed
,
th
e
m
o
r
e
attr
ac
tiv
e
th
e
b
u
s
in
ess
is
to
r
u
n
.
Pay
b
ac
k
p
er
io
d
s
th
at
ar
e
to
o
lo
n
g
u
s
u
ally
m
ak
e
th
e
b
u
s
in
ess
is
n
o
t
f
ea
s
ib
le
to
r
u
n
.
PB
P
ca
n
b
e
f
o
r
m
u
lated
in
as
(
7
)
.
W
h
er
e
PB
P
i
s
th
e
p
ay
b
ac
k
p
er
io
d
,
0
is
th
e
r
eq
u
ir
e
d
in
v
estm
en
t c
o
s
t,
an
d
is
th
e
an
n
u
al
ca
s
h
f
lo
w.
=
0
(
7
)
2
.
9
.
Sim
ple
m
ulti
a
t
t
ribute
r
a
t
ing
t
ec
hn
iqu
e
R
ec
o
m
m
en
d
atio
n
d
ec
is
io
n
s
ar
e
m
ad
e
b
y
co
m
p
a
r
in
g
ea
ch
r
e
s
ea
r
ch
r
esu
lt
f
r
o
m
b
o
th
a
tech
n
ical
an
d
ec
o
n
o
m
ic
p
e
r
s
p
ec
tiv
e
.
T
h
e
r
e
s
u
lts
o
f
th
e
co
m
p
ar
is
o
n
will
b
e
r
an
k
e
d
f
o
r
th
e
t
h
r
ee
f
r
e
q
u
en
cies,
th
er
e
ar
e
7
0
0
MH
z,
2
1
0
0
MH
z,
an
d
2
3
0
0
M
Hz
.
T
h
e
weig
h
tin
g
an
d
d
ec
is
io
n
-
m
ak
in
g
m
eth
o
d
s
ar
e
ca
r
r
ied
o
u
t
u
s
in
g
th
e
s
im
p
le
m
u
lti
-
attr
ib
u
te
r
atin
g
tech
n
iq
u
e
(
SMART)
[
2
0
]
–
[
2
4
]
.
T
h
e
s
t
ep
s
f
o
r
th
e
SMART
m
eth
o
d
ar
e
:
−
Dete
r
m
in
e
elig
ib
ilit
y
p
ar
am
ete
r
s
.
−
Giv
e
weig
h
t to
ea
ch
p
ar
am
eter
u
s
in
g
a
p
r
i
o
r
ity
s
ca
le
f
r
o
m
1
-
1
0
0
(
l
o
west p
r
io
r
ity
to
h
ig
h
est
p
r
io
r
ity
)
.
−
C
alcu
late
th
e
n
o
r
m
aliza
tio
n
o
f
ea
ch
weig
h
ted
p
ar
am
eter
u
s
in
g
as
(
8
)
:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
3
,
Ma
r
ch
20
22
:
1
5
6
3
-
1
5
7
0
1566
=
∑
=
1
(
8
)
wh
er
e
is
th
e
n
o
r
m
alize
d
weig
h
t
o
f
th
e
cr
iter
ia
to
j,
is
th
e
weig
h
t
v
alu
e
o
f
t
h
e
cr
iter
ia
to
j,
m
is
th
e
n
u
m
b
er
o
f
c
r
iter
ia,
an
d
is
th
e
weig
h
t
o
f
th
e
c
r
iter
ia
to
m
.
−
Pro
v
id
e
p
ar
am
eter
v
alu
es
f
o
r
ea
ch
d
ata,
p
ar
a
m
eter
v
alu
es
f
o
r
ea
c
h
o
f
th
ese
d
ata
ca
n
b
e
in
th
e
f
o
r
m
o
f
q
u
an
titativ
e
o
r
q
u
alitativ
e.
−
Sp
ec
if
ies
th
e
u
tili
ty
v
alu
e
f
o
r
ea
ch
p
ar
a
m
eter
.
T
h
er
e
ar
e
2
c
ateg
o
r
ies
o
f
u
tili
ty
v
alu
es,
th
e
f
ir
s
t
ca
t
eg
o
r
y
is
"th
e
g
r
ea
ter
v
al
u
e
is
m
o
r
e
d
esira
b
le"
wh
ich
is
ca
lcu
lated
as
(
9
)
a
n
d
th
e
s
ec
o
n
d
ca
teg
o
r
y
is
“sm
aller
v
alu
e
is
m
o
r
e
d
esira
b
le”
with
(
1
0
)
:
(
)
=
−
−
100%
(
9
)
(
)
=
−
−
100%
(
1
0
)
wh
er
e
(
)
is
th
e
u
tili
ty
v
alu
e
f
o
r
th
e
i
p
ar
am
eter
,
is
th
e
m
ax
im
u
m
p
ar
am
eter
v
alu
e,
is
th
e
m
in
im
u
m
p
a
r
am
eter
v
al
u
e,
an
d
is
th
e
i
p
ar
am
eter
.
−
Dete
r
m
in
e
th
e
f
in
al
v
alu
e,
b
y
m
u
ltip
ly
in
g
th
e
u
tili
ty
v
al
u
e
r
e
s
u
lt
wi
th
th
e
weig
h
t n
o
r
m
aliza
tio
n
r
esu
lt
a
n
d
th
en
ad
d
i
n
g
u
p
th
e
v
alu
es o
f
al
l p
ar
am
eter
s
.
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
3
.
1
.
T
ec
hn
ica
l
a
na
ly
s
is
T
h
is
r
esear
ch
u
s
ed
a
ca
s
e
s
tu
d
y
o
f
Sem
ar
an
g
C
ity
wh
ich
h
as
a
p
o
p
u
latio
n
o
f
1
,
6
5
3
,
5
2
4
p
e
o
p
le
b
ased
o
n
d
ata
f
r
o
m
s
tatis
tics
I
n
d
o
n
e
s
ia
with
an
ar
ea
o
f
3
7
3
.
3
k
m
2
[
2
5
]
w
h
ich
is
d
iv
id
e
d
in
to
th
r
ee
ty
p
es
o
f
a
r
ea
s
,
n
am
ely
u
r
b
an
,
s
u
b
u
r
b
an
,
an
d
r
u
r
al.
T
h
e
d
is
tr
ib
u
tio
n
o
f
th
e
p
o
p
u
latio
n
in
u
r
b
an
ar
ea
s
is
ar
o
u
n
d
5
1
.
1
0
%,
s
u
b
u
r
b
an
ar
ea
s
ar
e
ar
o
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n
d
3
8
.
0
8
%,
an
d
r
u
r
al
ar
ea
s
ar
e
ar
o
u
n
d
1
0
.
8
2
% o
f
th
e
to
tal
p
o
p
u
lati
o
n
.
I
n
th
is
r
esear
c
h
,
th
e
b
an
d
wid
t
h
u
s
ed
is
1
5
MH
z
with
th
e
ass
u
m
p
tio
n
t
h
at
th
e
p
r
o
v
i
d
er
u
s
ed
is
T
elk
o
m
s
el
wh
ich
h
as
a
m
ar
k
et
s
h
ar
e
v
alu
e
o
f
5
9
.
2
%
an
d
L
T
E
p
en
etr
atio
n
o
f
8
2
.
3
6
%.
T
h
e
s
ite
h
eig
h
t
in
th
e
u
r
b
an
ar
ea
is
3
0
m
,
th
e
s
u
b
u
r
b
a
n
ar
ea
is
5
0
m
,
a
n
d
th
e
r
u
r
al
a
r
e
a
is
8
0
m
.
Af
ter
p
r
e
d
ictin
g
t
h
e
n
u
m
b
er
o
f
L
T
E
s
u
b
s
cr
ib
er
s
in
th
e
n
ex
t
f
iv
e
y
ea
r
s
,
it
is
p
o
s
s
ib
le
to
p
r
ed
ict
th
e
n
u
m
b
er
o
f
s
ites
r
eq
u
ir
ed
b
as
ed
o
n
cu
s
to
m
er
n
ee
d
s
.
T
h
e
n
u
m
b
er
o
f
s
ites
r
eq
u
ir
ed
b
ased
o
n
th
e
ca
lcu
latio
n
o
f
ca
p
ac
ity
p
lan
n
in
g
is
m
o
r
e
th
a
n
t
h
e
ca
lcu
latio
n
o
f
co
v
er
ag
e
p
lan
n
i
n
g
.
T
h
e
2
3
0
0
MH
z
f
r
eq
u
e
n
cy
r
e
q
u
ir
es
th
e
g
r
ea
test
n
u
m
b
er
o
f
s
ites
co
m
p
ar
e
d
to
o
th
er
f
r
eq
u
e
n
cies
b
ec
au
s
e
th
e
s
er
v
i
ce
co
v
er
a
g
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th
at
ca
n
b
e
f
o
u
n
d
b
y
th
e
2
3
0
0
MH
z
f
r
e
q
u
en
c
y
is
s
m
aller
.
A
f
ter
k
n
o
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g
th
e
n
u
m
b
er
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f
s
ites
,
a
s
im
u
latio
n
is
ca
r
r
ied
o
u
t
to
d
eter
m
in
e
th
e
q
u
ality
o
f
s
er
v
ice.
Fig
u
r
e
1
(
a
)
s
h
o
wn
th
e
s
ite'
s
p
r
ed
ictio
n
b
ased
o
n
ca
p
ac
ity
p
lan
n
in
g
.
Fig
u
r
e
1
(
b
)
s
h
o
wn
t
h
e
s
ite's p
r
ed
ictio
n
b
ased
o
n
c
o
v
er
ag
e
p
lan
n
in
g
.
Fig
u
r
e
1
.
Nu
m
b
er
o
f
s
ites
by
(
a)
ca
p
ac
ity
p
lan
n
in
g
an
d
(
b
)
c
o
v
er
ag
e
p
lan
n
in
g
T
ab
le
4
s
h
o
wn
t
h
e
R
SR
P,
SIN
R
,
an
d
th
r
o
u
g
h
p
u
t v
al
u
es f
o
r
t
h
e
th
r
ee
f
r
e
q
u
en
cies.
Fig
u
r
e
2
s
h
o
wn
th
e
s
im
u
latio
n
r
esu
lts
o
f
th
e
7
0
0
MH
z
f
r
eq
u
en
cy
.
Fig
u
r
e
2
(
a
)
s
h
o
wn
t
h
e
R
SR
P
v
alu
e.
Fig
u
r
e
2
(
b
)
s
h
o
wn
th
e
SIN
R
v
alu
e.
Fig
u
r
e
2
(
c
)
s
h
o
w
n
th
e
th
r
o
u
g
h
p
u
t
v
alu
e.
T
h
e
r
esu
lts
o
f
th
e
R
S
R
P
f
r
eq
u
en
cy
o
f
7
0
0
MH
z
ar
e
in
th
e
v
er
y
g
o
o
d
ca
teg
o
r
y
,
th
e
SIN
R
v
alu
e
i
s
in
clu
d
ed
in
t
h
e
n
o
r
m
al
ca
te
g
o
r
y
,
an
d
t
h
e
th
r
o
u
g
h
p
u
t
v
alu
e
is
in
th
e
v
er
y
g
o
o
d
ca
teg
o
r
y
b
ased
o
n
th
e
r
an
g
e
v
alu
e
tab
le
.
(
a)
(
b
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
F
r
eq
u
en
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r
ec
o
mme
n
d
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etw
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(
P
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n
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1567
T
ab
le
4
.
T
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h
n
ical
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ar
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eter
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P
a
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me
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(
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Th
r
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t
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H
z
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3
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H
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H
z
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8
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0
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4
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4
3
1
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4
2
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2
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Fig
u
r
e
2
.
7
0
0
MH
z
s
im
u
latio
n
,
(
a)
R
SR
P,
(
b
)
SIN
R
,
an
d
(
c)
th
r
o
u
g
h
p
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t
Fig
u
r
e
3
s
h
o
wn
th
e
s
im
u
latio
n
r
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o
f
th
e
2
1
0
0
MH
z
f
r
eq
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en
cy
.
Fig
u
r
e
3
(
a
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s
h
o
wn
th
e
R
SR
P
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alu
e.
Fig
u
r
e
3
(
b
)
s
h
o
w
n
th
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R
v
alu
e.
Fig
u
r
e
3
(
c
)
s
h
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th
e
th
r
o
u
g
h
p
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t
v
al
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e
.
T
h
e
r
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lts
o
f
t
h
e
R
SR
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f
r
eq
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en
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o
f
2
1
0
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z
ar
e
i
n
a
g
o
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th
e
f
r
eq
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o
f
7
0
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3
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MH
z
T
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e
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n
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d
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e
r
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g
o
o
d
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o
r
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ased
o
n
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e
r
an
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v
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le
.
Fig
u
r
e
3
.
2
1
0
0
MH
z
s
im
u
latio
n
,
(
a)
R
SR
P,
(
b
)
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R
,
an
d
(
c
)
th
r
o
u
g
h
p
u
t
(
a
)
(
b
)
(
c
)
(
a
)
(
b
)
(
c
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
3
,
Ma
r
ch
20
22
:
1
5
6
3
-
1
5
7
0
1568
Fig
u
r
e
4
s
h
o
wn
th
e
s
im
u
latio
n
r
esu
lts
o
f
th
e
23
0
0
MH
z
f
r
eq
u
en
cy
.
Fig
u
r
e
4
(
a
)
s
h
o
wn
th
e
R
SR
P
v
alu
e.
Fig
u
r
e
4
(
b
)
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h
o
w
n
th
e
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R
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alu
e.
Fig
u
r
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4
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c
)
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e
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g
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t
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e
.
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ased
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Fig
u
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4
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2
3
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z
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latio
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1569
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ter
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,
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Hz
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a
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n
etwo
r
k
im
p
lem
en
tatio
n
.
RE
F
E
R
E
NC
E
S
[
1
]
T.
H
.
D
a
o
,
“
O
n
o
p
t
i
ma
l
d
e
si
g
n
s
o
f
t
r
a
n
sp
a
r
e
n
t
W
D
M
n
e
t
w
o
r
k
s
w
i
t
h
1
+
1
p
r
o
t
e
c
t
i
o
n
l
e
v
e
r
a
g
e
d
b
y
a
l
l
-
o
p
t
i
c
a
l
X
O
R
n
e
t
w
o
r
k
c
o
d
i
n
g
sch
e
mes,
”
O
p
t
i
c
a
l
Fi
b
e
r
T
e
c
h
n
o
l
o
g
y
,
v
o
l
.
4
0
,
p
p
.
9
3
–
1
0
0
,
2
0
1
8
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
y
o
f
t
e
.
2
0
1
7
.
1
1
.
0
0
9
.
[
2
]
D
.
T.
H
a
i
,
“
O
n
r
o
u
t
i
n
g
,
s
p
e
c
t
r
u
m
a
n
d
n
e
t
w
o
r
k
c
o
d
i
n
g
a
ss
i
g
n
m
e
n
t
p
r
o
b
l
e
m
f
o
r
t
r
a
n
s
p
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n
t
f
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x
-
g
r
i
d
o
p
t
i
c
a
l
n
e
t
w
o
r
k
s
w
i
t
h
d
e
d
i
c
a
t
e
d
p
r
o
t
e
c
t
i
o
n
,
”
C
o
m
p
u
t
e
r
C
o
m
m
u
n
i
c
a
t
i
o
n
s
,
v
o
l
.
1
4
7
,
p
p
.
1
9
8
–
2
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8
,
2
0
1
9
,
d
o
i
:
1
0
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1
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1
6
/
j
.
c
o
mc
o
m.
2
0
1
9
.
0
8
.
0
0
5
.
[
3
]
D
.
T.
H
a
i
,
“
O
n
so
l
v
i
n
g
t
h
e
1
+
1
r
o
u
t
i
n
g
,
w
a
v
e
l
e
n
g
t
h
a
n
d
n
e
t
w
o
r
k
c
o
d
i
n
g
a
ssi
g
n
m
e
n
t
p
r
o
b
l
e
m
w
i
t
h
a
b
i
-
o
b
j
e
c
t
i
v
e
i
n
t
e
g
e
r
l
i
n
e
a
r
p
r
o
g
r
a
mm
i
n
g
mo
d
e
l
,
”
T
e
l
e
c
o
m
m
u
n
i
c
a
t
i
o
n
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[
1
7
]
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.
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.
[
1
8
]
D
.
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.
,
“
M
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-
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.
[
1
9
]
N
.
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o
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,
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K
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5
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[
2
0
]
A
.
M
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sa
z
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d
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h
,
M
.
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f
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d
M
.
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a
f
,
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n
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c
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[
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1
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o
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3
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.
[
2
2
]
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.
M
.
Za
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g
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,
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o
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s
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s
(
M
C
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)
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n
g
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C
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(
LC
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3
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.
[
2
3
]
B
.
N
é
met
h
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l
.
,
“
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/
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.
[
2
4
]
C
.
Y
.
W
a
n
g
a
n
d
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.
M
.
C
h
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n
,
“
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n
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.
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2
2
.
[
2
5
]
S
t
a
t
i
st
i
c
s
o
f
S
e
mara
n
g
M
u
n
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c
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p
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l
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t
y
,
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e
m
a
r
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m
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1
.
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g
:
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t
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t
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n
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M
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n
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c
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p
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t
y
,
2
0
2
1
.
B
I
O
G
RAP
H
I
E
S O
F
AUTH
O
RS
Pu
tr
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li
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a
n
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c
ti
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t
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t
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m
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n
d
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rre
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tl
y
tak
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l
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m
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m
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m
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.
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telk
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m
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.
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c
.
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.
Pro
f.
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tri
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(D/H
S
TT
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m
)
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n
d
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g
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n
d
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sin
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9
9
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.
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h
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field
o
f
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th
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t
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th
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tern
e
t
o
f
Th
i
n
g
s
(I
o
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b
a
se
d
m
a
c
h
in
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a
rn
in
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m
e
th
o
d
,
p
a
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r:
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sa
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m
)
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id
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