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16
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y
et
a
b
le
to
r
u
n
SVC
.
T
h
er
e
ar
e
s
ev
er
al
s
ch
e
m
es
t
h
at
u
tili
ze
SV
C
as
a
p
u
b
lic
ev
alu
a
tio
n
p
lat
f
o
r
m
an
d
b
ased
o
n
o
p
en
-
s
o
u
r
ce
p
r
o
g
r
a
m
.
T
h
e
y
ar
e,
SV
E
F
(
Scalab
le
Vid
eo
co
d
in
g
E
v
alu
atio
n
Fra
m
e
w
o
r
k
)
[
1
1
]
,
E
v
alSVC
(
E
v
al
u
atio
n
of
SV
C
)
[
1
2
]
,
an
d
m
y
E
v
alSV
C
[
1
3
]
.
I
n
[
1
1
]
,
th
e
p
r
o
p
o
s
ed
SVEF
s
c
h
e
m
es
a
n
d
to
o
ls
ar
e
b
u
ilt
o
n
o
p
en
-
s
o
u
r
ce
b
asis
.
SVEF
i
s
a
m
i
x
ed
o
n
li
n
e/o
f
f
l
in
e
o
p
en
-
s
o
u
r
ce
f
r
a
m
e
wo
r
k
d
ev
is
ed
to
ev
al
u
ate
th
e
p
e
r
f
o
r
m
an
ce
o
f
H.
2
6
4
SVC
v
id
eo
s
tr
ea
m
i
n
g
.
SVEF
is
w
r
itte
n
in
C
a
n
d
P
y
t
h
o
n
a
n
d
also
w
ill
b
e
r
elea
s
ed
u
n
d
er
th
e
GNU
Ge
n
er
al
P
u
b
lic
L
ice
n
s
e.
S
VE
F
h
as
b
ee
n
ab
le
to
ev
al
u
ate
b
asic
SVC
.
Ho
w
e
v
er
,
it
is
s
till
in
co
m
p
lete
an
d
in
ad
eq
u
ate
in
an
al
y
z
in
g
co
m
p
lete
SVC
.
I
n
ad
d
itio
n
,
SVEF
co
n
s
tr
u
ctio
n
m
a
y
n
o
t
ea
s
y
s
in
ce
it
r
eq
u
ir
es
s
p
ec
ialize
d
s
k
ill
s
.
E
v
alSV
C
m
e
th
o
d
an
d
s
ch
e
m
e
p
r
o
p
o
s
ed
in
[
1
2
]
ar
e
p
u
b
licl
y
av
ailab
le
an
d
f
r
ee
.
Ho
w
e
v
er
,
E
v
alSV
C
d
o
es
n
o
t
clea
r
l
y
i
n
d
icate
h
o
w
to
h
a
n
d
l
e
m
i
s
s
i
n
g
o
r
co
r
r
u
p
ted
p
ac
k
e
ts
.
I
t
i
s
th
e
n
u
p
d
ated
an
d
ex
t
en
d
ed
in
[
1
3
]
w
i
t
h
m
y
E
v
al
SVC
w
h
ic
h
i
s
ca
p
ab
le
to
r
u
n
H.
2
6
4
A
VC
a
n
d
SV
C
i
n
g
e
n
er
al.
Ne
v
er
th
e
less
,
th
i
s
s
ch
e
m
e
h
a
s
n
o
t b
ee
n
ex
p
lo
r
ed
an
d
d
ev
elo
p
ed
to
th
e
m
ax
i
m
u
m
s
o
t
h
at
t
h
e
p
ac
k
a
g
e
h
a
s
n
o
t
b
ee
n
ab
le
to
ev
al
u
ate
th
e
C
SV
C
.
T
o
o
v
er
co
m
e
t
h
o
s
e
li
m
itatio
n
s
,
w
e
p
r
o
p
o
s
e
a
n
e
w
s
c
h
e
m
e
i
n
t
h
i
s
p
ap
er
.
T
h
e
s
c
h
e
m
e
p
r
o
v
id
es
a
t
ool
-
s
e
t
t
o
ev
alu
a
te
an
d
an
al
y
ze
C
SV
C
in
a
w
ir
eles
s
b
r
o
ad
b
an
d
n
et
w
o
r
k
o
n
an
en
d
-
to
-
e
n
d
s
y
s
te
m
.
T
h
is
s
ch
e
m
e
is
d
ev
elo
p
ed
a
n
d
d
is
tr
ib
u
ted
o
n
an
o
p
en
-
s
o
u
r
ce
p
latf
o
r
m
to
en
ab
le
r
esear
ch
er
an
d
d
ev
elo
p
er
to
u
s
e,
an
al
y
ze
,
a
n
d
en
r
ich
it
ac
co
r
d
in
g
to
th
eir
r
eq
u
ir
em
e
n
t
s
an
d
n
ee
d
s
[
1
4
]
.
T
o
o
b
tain
th
e
co
m
p
r
e
h
en
s
iv
e
a
n
al
y
s
i
s
,
th
e
co
m
b
i
n
atio
n
o
f
s
ca
lab
le
m
eth
o
d
is
n
ee
d
ed
.
Ho
w
e
v
er
,
to
th
e
b
est
o
f
o
u
r
k
n
o
w
led
g
e,
th
er
e
i
s
n
o
r
esear
ch
o
n
e
v
al
u
atio
n
SV
C
u
s
i
n
g
t
h
e
co
m
b
in
atio
n
o
f
s
ca
lab
le
m
et
h
o
d
,
w
h
ic
h
is
a
k
e
y
in
ev
al
u
atio
n
t
h
e
q
u
alit
y
o
f
v
id
eo
tr
an
s
m
is
s
io
n
o
v
er
b
r
o
ad
b
an
d
n
et
w
o
r
k
.
I
n
th
is
r
esear
c
h
,
w
e
co
m
p
ar
e
th
e
MG
S a
n
d
C
G
S,
w
h
ic
h
i
s
an
e
x
ten
s
io
n
o
f
o
u
r
p
r
ev
io
u
s
[
1
5
]
,
[
1
6
]
.
T
h
e
s
ch
e
m
e
o
f
f
r
a
m
e
w
o
r
k
ca
n
ev
al
u
ate
p
er
f
o
r
m
an
ce
o
f
av
er
ag
e
P
ea
k
Sig
n
a
l
-
to
-
N
o
is
e
R
atio
(
P
SNR
)
,
co
d
in
g
e
f
f
icie
n
c
y
,
p
er
f
o
r
m
an
ce
o
f
m
etr
ic
s
s
y
s
te
m
s
as
e
n
d
-
to
-
e
n
d
d
ela
y
,
a
n
d
q
u
eu
in
g
d
ela
y
o
f
t
h
e
p
ac
k
ets
i
n
th
e
n
et
w
o
r
k
.
F
u
r
t
h
er
m
o
r
e,
th
e
s
c
h
e
m
e
i
s
s
i
m
p
ler
th
an
o
t
h
er
s
c
h
e
m
e
s
in
p
r
io
r
w
o
r
k
w
h
ic
h
u
s
ed
to
ev
alu
a
te
o
f
v
id
eo
tr
a
n
s
m
is
s
io
n
o
v
er
w
ir
e
less
b
r
o
ad
b
an
d
n
et
w
o
r
k
(
it
w
i
ll
b
e
e
x
p
lain
ed
i
n
m
o
r
e
d
etail
i
n
t
h
e
n
ex
t
s
ec
tio
n
o
f
th
i
s
p
ap
er
)
.
T
h
e
p
r
o
p
o
s
ed
s
ch
e
m
e
is
a
p
r
o
m
is
in
g
ap
p
r
o
ac
h
f
o
r
ev
alu
a
tin
g
v
id
eo
tr
an
s
m
i
s
s
io
n
o
v
er
w
ir
eles
s
b
r
o
ad
b
an
d
s
er
v
ices
in
th
e
f
u
t
u
r
e.
W
e
b
eliev
e
th
at
th
i
s
n
e
w
s
c
h
e
m
e
w
ill
f
ac
i
litate
an
d
s
i
m
p
li
f
y
th
e
e
v
al
u
atio
n
an
d
ex
p
lo
itati
o
n
o
f
v
id
eo
p
ac
k
ets
o
v
er
w
i
r
eless
b
r
o
ad
b
an
d
n
et
w
o
r
k
wh
ich
is
e
x
p
ec
ted
to
i
m
p
r
o
v
e
r
esear
ch
i
n
th
is
f
ield
.
T
h
e
r
est
o
f
th
e
p
ap
er
is
o
r
g
a
n
ized
as
f
o
llo
w
s
:
S
ec
tio
n
2
p
r
e
s
en
t
s
t
h
e
C
SV
C
e
v
al
u
atio
n
f
r
a
m
e
w
o
r
k
,
C
SV
C
m
et
h
o
d
,
MG
S
an
d
C
GS
m
o
d
es,
a
n
d
Net
w
o
r
k
Si
m
u
lato
r
o
v
er
w
ir
eless
b
r
o
ad
b
an
d
n
et
w
o
r
k
.
I
n
S
ec
tio
n
3
,
w
e
d
escr
ib
e
th
e
e
x
p
er
im
e
n
tal
r
e
s
u
l
ts
a
n
d
d
is
cu
s
s
io
n
,
an
d
f
in
al
l
y
w
e
p
r
esen
t
co
n
clu
s
io
n
a
n
d
f
u
t
u
r
e
w
o
r
k
.
2.
T
H
E
CO
M
B
I
NE
D
SCA
L
AB
L
E
V
I
DE
O
CO
D
I
N
G
(
CSV
C
)
E
VAL
UAT
I
O
N
F
RAM
E
WO
RK
2
.
1
.
Co
m
bin
ed
s
ca
la
ble v
ideo
co
din
g
(
CSVC)
SVC
i
s
a
p
ar
t
o
f
H.
2
6
4
/MP
E
G
-
4
p
ar
t
1
0
A
V
C
(
A
d
v
a
n
ce
d
Vid
eo
C
o
d
in
g
)
,
o
r
H.
2
6
4
/AVC
[
1
]
-
[
3
]
.
H.
2
6
2
an
d
M
P
E
G
-
2
,
f
o
llo
w
e
d
b
y
H.
2
6
3
+
an
d
M
P
E
G
-
4
.
S
in
ce
J
an
u
ar
y
2
0
0
5
,
MP
E
G
an
d
VC
E
G
h
av
e
b
ee
n
j
o
in
ed
to
g
eth
er
i
n
J
VT
to
ca
r
r
y
o
u
t
co
m
p
letio
n
o
f
th
e
H.
2
6
4
/A
VC
a
m
en
d
m
en
t
as
an
o
f
f
icial
s
ta
n
d
ar
d
[
2
]
.
Un
til
n
o
w
,
H.
2
6
4
/AVC
s
ta
n
d
ar
d
is
s
till
in
a
m
e
n
d
m
e
n
t,
an
d
it
is
a
co
o
p
er
ativ
e
w
o
r
k
o
f
m
a
n
y
p
ar
ties
to
estab
lis
h
Mu
l
tiv
ie
w
Vid
eo
C
o
d
in
g
a
n
d
Hig
h
E
f
f
icie
n
c
y
Vid
eo
C
o
d
in
g
(
HE
VC
)
o
r
H.
2
6
5
.
Scalab
ilit
y
p
r
o
p
o
s
ed
f
o
r
th
e
f
i
r
s
t
ti
m
e
i
s
to
r
ed
u
ce
p
ac
k
et
(
ce
ll)
lo
s
s
in
A
T
M
n
et
w
o
r
k
s
[
1
]
.
I
t
d
iv
id
es
o
n
e
b
its
tr
ea
m
i
n
to
s
e
v
er
al
s
u
b
-
b
its
tr
ea
m
s
o
r
la
y
er
s
ac
co
r
d
in
g
to
n
et
w
o
r
k
s
tate,
w
h
ic
h
ca
n
o
f
f
er
e
f
f
icie
n
c
y
a
n
d
s
u
p
er
io
r
q
u
alit
y
v
id
eo
co
d
in
g
o
n
b
r
o
ad
b
an
d
s
er
v
ices c
o
m
p
ar
ed
to
o
th
er
v
id
eo
co
d
in
g
s
tan
d
ar
d
s
.
I
t
cr
ea
ted
tw
o
g
r
o
u
p
s
o
f
la
y
er
s
w
h
ich
ar
e
b
a
s
e
a
n
d
en
h
a
n
ce
m
e
n
t
la
y
er
s
.
T
h
e
b
ase
la
y
er
co
n
tai
n
s
v
ital
in
f
o
r
m
atio
n
w
h
er
ea
s
th
e
e
n
h
a
n
ce
m
e
n
t
la
y
er
co
m
p
r
is
es
r
es
id
u
al
in
f
o
r
m
at
io
n
to
e
n
h
a
n
ce
t
h
e
q
u
a
lit
y
o
f
v
id
eo
s
eq
u
en
ce
s
.
A
S
VC
s
y
s
te
m
co
n
s
is
t
s
o
f
e
n
co
d
er
an
d
d
ec
o
d
er
is
d
ep
icted
in
Fig
u
r
e
1.
W
ith
in
d
ata
tr
a
n
s
m
i
s
s
io
n
p
r
o
ce
s
s
,
b
ase
-
la
y
er
co
n
tain
i
n
g
v
i
tal
in
f
o
r
m
atio
n
s
till
m
a
k
es
it
t
h
r
o
u
g
h
i
n
ca
s
e
o
f
co
n
g
e
s
tio
n
i
n
tr
an
s
m
i
s
s
io
n
ch
an
n
el.
Fi
g
u
r
e
1
s
h
o
w
s
t
h
e
th
r
ee
t
y
p
e
s
o
f
s
ca
l
ab
ilit
y
m
e
th
o
d
s
:
SN
R
(
Si
g
n
al
-
to
-
No
is
e
R
atio
)
Scalab
ilit
y
,
Sp
atial
Scalab
ilit
y
,
an
d
T
em
p
o
r
al
Sca
lab
ilit
y
.
I
n
ad
d
itio
n
,
t
h
er
e
is
th
e
o
th
er
s
ca
lab
ilit
y
m
et
h
o
d
th
a
t
co
m
b
in
e
s
t
h
ese
t
h
r
ee
m
et
h
o
d
s
.
W
h
en
th
e
in
ter
la
y
er
r
eso
lu
tio
n
is
ch
a
n
g
ed
,
th
e
s
p
atial
s
ca
lab
le
w
i
ll
b
e
d
o
m
i
n
a
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3.
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RAM
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u
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it
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m
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P
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(
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to
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;
en
d
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a
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p
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T
o
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ze
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
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lec
&
C
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p
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g
,
Vo
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8
,
No
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5
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Octo
b
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2
0
1
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3
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–
34
16
3410
th
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u
tp
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FC
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u
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2
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RE
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m
b
er
o
f
f
r
a
m
e
s
eq
u
en
ce
to
b
e
tr
an
s
m
itted
w
ill
ca
u
s
e
Y
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SNR
to
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av
e
d
ec
r
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s
in
g
g
ap
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W
e
b
r
ief
ly
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o
te
th
at
MG
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o
v
er
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m
e
P
SN
R
p
er
f
o
r
m
an
ce
to
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GS
at
t
h
e
s
a
m
e
b
itra
te.
I
n
cr
ea
s
i
n
g
t
h
e
f
r
a
m
e
s
eq
u
e
n
ce
to
b
e
tr
an
s
m
itted
ca
u
s
es Y
-
P
SN
R
g
ap
d
ec
r
ea
s
ed
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
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n
g
,
Vo
l.
8
,
No
.
5
,
Octo
b
er
2
0
1
8
:
3
4
0
7
–
34
16
3412
Fig
u
r
e
3
.
P
er
f
o
r
m
a
n
ce
o
f
co
d
in
g
e
f
f
icie
n
c
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co
m
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t o
f
en
co
d
in
g
4
.
2
.
2
.
P
SNR
a
s
perf
o
r
m
a
nce
f
ra
m
ew
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rk
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v
er
a
l
l
Fig
u
r
e
4
Stef
a
n
s
eq
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e
n
ce
s
h
o
w
s
th
at
t
h
e
av
er
a
g
e
Y
-
P
SNR
as
o
u
tp
u
t
o
f
t
h
e
n
e
w
s
c
h
e
m
e,
w
h
er
e
C
G
S
h
as
v
alu
e
o
f
1
6
.
8
d
B
,
an
d
MG
S
20
d
B
.
I
t
is
ar
o
u
n
d
3
.
3
d
B
g
ap
.
I
n
Fi
g
u
r
e
4
(
b
)
o
n
B
u
s
s
eq
u
en
ce
,
w
h
er
e
C
G
S
h
as
v
al
u
e
o
f
1
1
.
9
d
B
,
an
d
M
GS
1
4
.
6
d
B
.
I
t
h
as
ar
o
u
n
d
2
.
8
d
B
g
ap
.
I
n
Fi
g
u
r
e
4
(
c)
Fo
r
em
an
s
eq
u
en
ce
,
w
h
er
e
C
GS
h
as
v
al
u
e
o
f
2
3
.
3
d
B
,
a
n
d
MG
S
2
5
.
7
d
B
.
I
t
h
as
ar
o
u
n
d
2
.
4
5
d
B
g
ap
.
I
n
Fig
u
r
e
4
(
d
)
C
it
y
s
eq
u
e
n
ce
,
it
s
h
o
w
s
t
h
at
C
GS
h
a
s
v
al
u
e
o
f
2
3
.
5
d
B
,
an
d
MG
S
h
as
t
h
e
v
al
u
e
o
f
24.
8
d
B
.
I
t
h
as
ar
o
u
n
d
1.
4
d
B
g
ap
.
W
e
ca
n
co
n
clu
d
e
t
h
at
MG
S
is
b
etter
th
a
n
C
GS
o
f
ap
p
r
o
x
i
m
atel
y
1
.
4
d
B
u
p
to
3
.
1
d
B
.
Ho
w
ev
er
f
r
o
m
t
h
e
I
T
U
r
ef
er
en
ce
[
2
2
]
,
it
s
h
o
w
ed
t
h
at
th
e
r
esu
lts
m
e
n
tio
n
ed
ab
o
v
e
s
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e
x
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s
t
u
n
d
er
th
e
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ir
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teg
o
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P
SNR
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elo
w
2
5
d
B
)
.
T
h
e
o
n
ly
w
o
r
th
m
o
r
e
th
an
2
5
d
B
is
MG
S
m
o
d
e
o
n
th
e
in
p
u
t
o
f
Fo
r
e
m
a
n
s
eq
u
e
n
ce
.
T
h
is
s
h
o
w
s
th
at
th
e
er
r
o
r
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r
esil
ie
n
ce
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d
th
e
e
r
r
o
r
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n
ce
al
m
e
n
t
h
a
s
n
o
t
r
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n
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in
g
w
ell
w
h
er
e
p
ac
k
et/
f
r
a
m
e
er
r
o
r
is
s
till
a
lo
t
g
o
in
g
o
n
.
NS
-
2
en
v
ir
o
n
m
e
n
t
af
f
ec
t
s
th
e
r
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l
ts
,
s
o
th
at
t
h
e
d
ev
elo
p
m
en
t
it
is
a
ch
all
en
g
e
f
o
r
th
e
f
u
t
u
r
e
r
esear
ch
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8708
N
o
ve
l A
p
p
r
o
a
ch
fo
r
E
v
a
lu
a
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s
mis
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s
in
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C
o
mb
in
ed
…
(
K
a
lvein
R
a
n
telo
b
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3413
Fig
u
r
e
4
.
P
er
f
o
r
m
a
n
ce
o
f
P
SNR
m
etr
ic
s
o
f
t
h
e
p
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p
o
s
ed
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ch
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m
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4
.
2
.
3
.
E
nd
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to
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end
d
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s
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h
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tics
o
f
t
h
e
i
n
p
u
t
s
eq
u
en
ce
to
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e
tr
an
s
m
itted
.
C
G
S
is
r
elati
v
el
y
m
o
r
e
s
tab
le
as
i
n
p
u
t
Ste
f
a
n
s
eq
u
e
n
ce
(
as
s
h
o
w
Fi
g
u
r
e
5
(
a)
)
an
d
th
e
B
u
s
s
eq
u
en
ce
(
as
s
h
o
w
Fi
g
u
r
e
5
(
b
)
)
.
I
t
s
h
o
w
s
t
h
at
t
h
e
p
ac
k
et
d
e
liv
er
y
is
d
ela
y
ed
to
1
0
0
p
ac
k
ets
i
n
0
.
8
s
ec
o
n
d
s
,
w
h
ile
in
MG
S,
e
n
d
-
to
-
e
n
d
d
ela
y
s
is
i
n
cr
ea
s
i
n
g
i
n
li
n
ea
r
.
On
th
e
in
p
u
t
o
f
Fo
r
e
m
a
n
s
eq
u
en
ce
(
as
s
h
o
w
Fig
u
r
e
5
(
c)
)
an
d
th
e
C
it
y
s
eq
u
en
ce
(
as
s
h
o
w
Fi
g
u
r
e
5
(
d
)
)
,
C
GS
h
a
s
an
a
v
er
ag
e
d
ela
y
o
f
ab
o
u
t
0
.
7
s
ec
o
n
d
s
,
w
h
ile
MG
S
h
as
an
av
er
a
g
e
d
ela
y
o
f
ab
o
u
t
0
.
2
s
ec
o
n
d
s
.
I
t
i
n
d
icate
s
t
h
at
MG
S
h
a
s
les
s
e
n
d
-
to
-
en
d
d
ela
y
a
n
d
b
etter
th
an
C
GS.
T
h
e
m
o
r
e
p
ac
k
ets
tr
a
n
s
m
it
ted
in
t
h
e
n
e
t
w
o
r
k
,
t
h
e
g
ap
o
f
d
ela
y
o
cc
u
r
s
b
et
w
ee
n
C
GS
a
n
d
MG
S is
h
ig
h
er
.
4
.
2
.
4
.
Q
ue
ue
leng
t
h sy
s
t
e
m
s
I
n
th
is
s
tu
d
y
w
e
li
m
i
t t
h
e
s
y
s
te
m
to
t
h
e
m
ax
i
m
u
m
p
ac
k
et
q
u
e
u
e
o
f
5
0
p
ac
k
et
s
i
n
t
h
e
b
u
f
f
er
d
u
e
to
th
e
co
m
p
u
tatio
n
al
e
f
f
icie
n
c
y
is
s
u
e
s
.
W
e
o
b
s
er
v
e
f
r
o
m
Fi
g
u
r
e
6
t
h
at
t
h
e
Fo
r
e
m
a
n
s
eq
u
e
n
ce
(
Fi
g
u
r
e
6
(
a)
)
an
d
C
i
t
y
s
eq
u
en
ce
(
Fig
u
r
e
6
(
b
)
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s
h
o
w
t
h
at
C
GS
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as
le
s
s
ti
m
e
t
h
a
n
M
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o
w
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v
er
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i
n
Fo
r
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m
a
n
s
eq
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en
ce
(
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ig
u
r
e
6
(
c)
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d
C
it
y
s
eq
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e
n
ce
(
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g
u
r
e
6
(
d
)
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as th
e
in
p
u
ts
w
h
ic
h
h
a
v
e
m
o
r
e
n
u
m
b
er
o
f
f
r
a
m
es s
h
o
w
t
h
at
q
u
eu
i
n
g
le
n
g
t
h
o
f
MG
S
is
le
s
s
t
h
an
C
GS.
I
n
cr
ea
s
in
g
n
u
m
b
er
o
f
f
r
a
m
es
s
eq
u
e
n
ce
in
tr
an
s
m
i
ss
io
n
w
ill
ca
u
s
e
q
u
eu
i
n
g
o
f
p
ac
k
et
s
ta
k
es
lo
n
g
er
ti
m
e.
I
n
s
u
m
m
ar
y
,
w
e
co
n
cl
u
d
e
th
at
C
GS
an
d
MG
S
m
o
d
e
o
n
v
id
eo
tr
an
s
m
i
s
s
io
n
o
v
er
w
ir
eles
s
b
r
o
ad
b
an
d
n
et
w
o
r
k
ca
n
b
e
i
m
p
le
m
en
ted
o
n
NS
-
2
w
ell.
T
h
e
u
s
e
o
f
MG
S
m
o
d
e
is
m
o
r
e
s
at
is
f
ac
to
r
y
co
m
p
ar
ed
to
C
GS
m
o
d
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
8
,
No
.
5
,
Octo
b
er
2
0
1
8
:
3
4
0
7
–
34
16
3414
Fig
u
r
e
5
.
P
er
f
o
r
m
a
n
ce
m
etr
ic
s
s
y
s
te
m
s
o
n
t
h
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to
-
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n
d
d
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Fig
u
r
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6
.
P
er
f
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r
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a
n
ce
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ic
s
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y
s
te
m
s
o
n
t
h
e
q
u
eu
e
le
n
g
t
h
p
ac
k
ets
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8708
N
o
ve
l A
p
p
r
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a
ch
fo
r
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v
a
lu
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id
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n
s
mis
s
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s
in
g
C
o
mb
in
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(
K
a
lvein
R
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telo
b
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)
3415
5.
CO
NCLU
SI
O
N
I
n
th
i
s
r
esear
c
h
,
w
e
h
a
v
e
p
r
o
p
o
s
ed
a
n
o
v
el
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p
r
o
ac
h
f
o
r
p
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o
r
m
e
v
al
u
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n
o
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v
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tr
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s
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i
s
s
io
n
b
ased
o
n
th
e
C
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o
v
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s
s
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r
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ad
b
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d
n
et
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o
r
k
(
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L
A
N
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E
E
E
8
0
2
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1
1
e)
,
s
i
m
u
lated
b
y
NS
-
2
.
Fu
r
t
h
er
m
o
r
e,
w
e
also
h
a
v
e
in
v
e
s
ti
g
ated
th
e
e
f
f
ec
ts
o
f
t
h
e
ap
p
licatio
n
o
f
MG
S
an
d
C
GS
m
o
d
es
o
n
p
er
f
o
r
m
a
n
ce
o
f
th
is
s
y
s
te
m
.
T
h
e
ap
p
licatio
n
o
f
MG
S
m
o
d
e
o
n
C
SVC
in
cr
ea
s
e
s
th
e
p
er
f
o
r
m
an
ce
o
f
t
h
e
s
y
s
te
m
i
n
co
m
p
ar
i
s
o
n
to
C
GS
m
o
d
e.
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n
g
e
n
er
al,
o
u
r
s
c
h
e
m
e
is
s
i
m
p
le
a
n
d
ea
s
il
y
i
m
p
le
m
e
n
ted
f
o
r
ev
al
u
ati
n
g
v
id
eo
tr
an
s
m
is
s
io
n
o
v
er
w
ir
el
ess
b
r
o
ad
b
an
d
n
et
w
o
r
k
.
T
h
e
f
u
t
u
r
e
w
o
r
k
w
i
ll
f
o
cu
s
o
n
p
r
o
v
id
in
g
C
SI
(
C
h
an
n
el
St
ate
I
n
f
o
r
m
at
io
n
)
u
s
in
g
li
m
ite
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f
ee
d
b
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et
h
o
d
f
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e
w
s
c
h
e
m
e
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ad
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tiv
e
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te
m
f
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is
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ices
s
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r
esu
lts
b
y
i
m
p
le
m
en
tin
g
NS
-
3
a
n
d
th
en
co
m
p
ar
e
t
h
e
r
es
u
lts
to
t
h
e
r
ea
l e
x
p
er
i
m
en
t
.
ACK
NO
WL
E
D
G
E
M
E
NT
S
T
h
e
r
esear
ch
is
s
u
p
p
o
r
ted
th
r
o
u
g
h
P
o
s
t
-
Do
cto
r
al
Gr
an
t
s
(
Hib
ah
P
ascad
o
k
to
r
)
b
y
I
n
d
o
n
esia
n
Min
i
s
tr
y
o
f
R
esear
c
h
an
d
Hi
g
h
er
E
d
u
ca
tio
n
(
u
n
d
er
Gr
an
t
N
o
.
2
2
3
/UN1
5
.
1
9
/L
T
/2
0
1
7
)
.
W
e
ar
e
v
er
y
g
r
ate
f
u
l
to
Mr
.
C
h
ih
-
Hen
g
Ke
f
o
r
d
is
cu
s
s
io
n
an
d
d
ev
elo
p
m
e
n
t
o
f
NS
-
2
s
i
m
u
latio
n
p
r
o
g
r
a
m
;
P
r
o
f
Hu
a
A
n
-
Z
h
ao
f
o
r
s
u
p
p
o
r
t;
L
ab
.
T
ek
n
ik
E
lek
tr
o
FS
T
Un
d
an
a;
C
o
m
m
u
n
icatio
n
Dig
ital
L
ab
.
UI
;
Mr
.
De
w
a
Ma
d
e
W
ih
ar
ta
an
d
Mr
.
Me
k
s
ia
n
is
Nd
ii
f
o
r
f
r
u
it
f
u
l
d
is
cu
s
s
io
n
.
RE
F
E
R
E
NC
E
S
[1
]
W
u
,
Y.
T
.
Ho
u
,
a
n
d
Y.
-
Q.
Zh
a
n
g
,
“
S
c
a
lab
le
V
id
e
o
Co
d
in
g
a
n
d
T
ra
n
sp
o
rt
o
v
e
r
Bro
a
d
b
a
n
d
W
irele
ss
Ne
t
w
o
rk
s
”
,
Pro
c
e
e
d
in
g
o
f
th
e
IEE
E
,
v
o
l
.
8
9
,
n
o
.
1
,
p
p
.
6
-
2
0
,
2
0
0
1
.
[2
]
H.
S
c
h
w
a
r
z
,
D.
M
a
rv
e
,
T
.
W
ie
g
a
n
d
,
“
Ov
e
r
v
ie
w
o
f
th
e
S
c
a
l
a
b
le
V
id
e
o
Co
d
in
g
Ex
te
n
sio
n
o
f
t
h
e
H.2
6
4
/A
V
C
S
tan
d
a
rd
”
,
IEE
E
T
ra
n
s
a
c
ti
o
n
o
n
Circ
u
it
s a
n
d
S
y
ste
ms
fo
r V
i
d
e
o
T
e
c
h
n
o
l
o
g
y
,
v
o
l.
1
7
,
n
o
.
9
,
p
p
.
1
1
0
3
-
1
1
2
0
,
2
0
0
7
.
[3
]
M
.
W
ien
,
H.
S
c
h
w
a
rz
,
a
n
d
T
.
Oe
lb
a
u
m
,
“
P
e
rf
o
rm
a
n
c
e
A
n
a
l
y
si
s
o
f
S
V
C
”
,
I
EE
E
T
ra
n
s
a
c
ti
o
n
o
n
Circ
u
it
s
a
n
d
S
y
ste
ms
fo
r V
id
e
o
T
e
c
h
n
o
l
o
g
y
,
v
o
l.
1
7
,
n
o
.
9
,
p
p
.
1
1
9
4
-
1
2
0
3
,
2
0
0
7
.
[4
]
T
.
S
c
h
ierl
a
n
d
T
.
W
ieg
a
n
d
,
“
M
o
b
i
le
V
id
e
o
T
ra
n
sm
is
sio
n
u
si
n
g
S
V
C
”
,
IEE
E
T
ra
n
s.
Circ
u
i
ts
S
y
st.
Vi
d
e
o
T
e
c
h
n
o
l
,
v
o
l.
1
7
,
n
o
.
9
,
p
p
.
1
2
0
4
-
1
2
1
7
,
2
0
0
7
.
[5
]
M
.
v
a
n
d
e
r
S
c
h
a
a
r
a
n
d
H.
Ra
d
h
a
,
“
A
H
y
b
rid
T
e
m
p
o
ra
l
-
S
NR
F
in
e
-
G
r
a
n
u
lar
S
c
a
lab
il
it
y
f
o
r
In
tern
e
t
V
i
d
e
o
”
,
IE
EE
T
ra
n
sa
c
ti
o
n
s
o
n
Circ
u
it
s
a
n
d
S
y
st
.
fo
r V
id
e
o
T
e
c
h
n
o
l
.
,
v
o
l.
1
1
,
n
o
.
3
,
2
0
0
1
.
[6
]
L
.
Ba
sz
a
k
,
M
.
Do
m
a
s
k
i,
a
n
d
S
.
M
a
k
o
w
iak
,
“
S
p
a
ti
o
-
T
e
m
p
o
ra
l
S
c
a
lab
il
it
y
in
A
V
C
Co
d
e
c
”
,
In
:
IS
O/IE
C
J
T
C1
/S
C
2
9
/W
G1
1
,
M
PE
G2
0
0
3
/
M
9
4
6
9
,
P
a
tt
a
y
a
,
T
h
a
il
a
n
d
,
2
0
0
3
.
[7
]
H.
S
c
h
w
a
rz
,
D.
M
a
rv
e
,
T
.
S
c
h
ie
rl,
a
n
d
T
.
W
ieg
a
n
d
,
“
Co
m
b
in
e
d
S
c
a
lab
il
it
y
S
u
p
p
o
r
t
f
o
r
th
e
S
c
a
lab
le
Ex
ten
sio
n
o
f
H.2
6
4
/A
V
C
”
,
In
Pro
c
.
IEE
E
In
t.
Co
n
fer
e
n
c
e
o
n
M
u
lt
ime
d
i
a
a
n
d
E
x
p
o
,
2
0
0
5
.
[8
]
M
.
L
i,
Z.
Ch
e
n
,
a
n
d
Y.
T
a
n
,
“
Cr
o
ss
-
lay
e
r
Op
ti
m
iz
a
ti
o
n
f
o
r
S
V
C
V
id
e
o
De
li
v
e
r
y
o
v
e
r
th
e
IEE
E
8
0
2
.
1
1
e
W
irele
ss
Ne
tw
o
rk
s
”
,
J
o
u
rn
a
l
o
f
Vi
su
a
l
Co
mm
u
n
ica
ti
o
n
a
n
d
Im
a
g
e
Re
p
re
se
n
ta
ti
o
n
,
v
o
l.
2
2
,
n
o
.
3
,
p
p
.
2
8
4
-
2
9
6
,
2
0
1
1
.
[9
]
J.
Kl
a
u
e
,
B.
Ra
th
k
e
,
a
n
d
A
.
Wo
li
sz
,
“
Ev
a
lv
id
A
F
ra
m
e
w
o
rk
f
o
r
V
id
e
o
T
ra
n
sm
is
sio
n
a
n
d
Qu
a
li
ty
Ev
a
lu
a
ti
o
n
”
,
Co
mp
u
ter
Per
fo
rm
a
n
c
e
Eva
lu
a
t
io
n
.
M
o
d
e
ll
in
g
T
e
c
h
n
i
q
u
e
s
a
n
d
T
o
o
ls,
L
e
c
tu
re
n
o
tes
in
Co
m
p
u
ter
S
c
ien
c
e
,
p
p
.
2
5
5
-
2
7
2
,
2
0
0
3
.
[1
0
]
C.
H.
Ke
,
C
.
K.
S
h
ie
h
,
W
.
S
.
Hw
a
n
g
,
a
n
d
A
.
Zi
v
ian
i
,
“
A
n
Ev
a
lu
a
ti
o
n
F
ra
m
e
w
o
rk
f
o
r
m
o
re
Re
a
li
sti
c
S
im
u
latio
n
s
o
f
M
P
EG
V
id
e
o
T
ra
n
sm
is
sio
n
”
,
J
o
u
rn
a
l
o
f
I
n
fo
rm
a
ti
o
n
S
c
ien
c
e
a
n
d
E
n
g
i
n
e
e
rin
g
,
v
o
l.
2
4
,
n
o
.
2
,
p
p
.
4
2
5
-
4
4
0
,
2
0
0
8
.
[1
1
]
A
.
De
tt
i,
e
t
a
l
.
,
“
S
VEF
:
A
n
Op
e
n
-
S
o
u
rc
e
Ex
p
e
rim
e
n
tal
Ev
a
lu
a
ti
o
n
F
ra
m
e
w
o
rk
f
o
r
H.2
6
4
S
c
a
lab
le
V
id
e
o
S
trea
m
in
g
”
,
In
Pro
c
e
e
d
in
g
o
f
IEE
E
M
e
d
i
a
W
IN
,
S
o
u
ss
e
,
T
u
n
isia,
2
0
0
9
.
[
On
l
in
e
].
A
v
a
il
a
b
le:
h
tt
p
:
//
sv
e
f
.
n
e
tg
ro
u
p
.
u
n
iro
m
a
2
.
it
/
[1
2
]
T
.
A
.
Le
a
n
d
H.
Ng
u
y
e
n
,
“
En
d
-
to
-
En
d
T
ra
n
sm
issio
n
o
f
S
c
a
lab
le
V
i
d
e
o
Co
n
ten
ts:
P
e
rf
o
rm
a
n
c
e
Ev
a
lu
a
ti
o
n
o
v
e
r
Ev
a
lS
V
C
a
Ne
w
Op
e
n
-
S
o
u
rc
e
Ev
a
lu
a
ti
o
n
P
latf
o
rm
”
,
J
o
u
rn
a
l
M
u
lt
ime
d
i
a
T
o
o
ls
a
n
d
Ap
p
li
c
a
t
io
n
s
,
S
p
r
in
g
e
r,
v
o
l.
6
3
,
A
p
ril
2
0
1
3
.
[
On
li
n
e
].
A
v
a
il
a
b
le
:
h
tt
p
:/
/ev
a
lsv
c
.
so
u
rc
e
f
o
rg
e
.
n
e
t/
[1
3
]
C.
H.
Ke
,
“
m
y
Ev
a
lS
V
C:
a
n
I
n
te
g
ra
ted
S
im
u
latio
n
F
ra
m
e
w
o
rk
f
o
r
Ev
a
lu
a
ti
o
n
o
f
H.2
6
4
/
S
V
C
T
ra
n
s
m
issio
n
”
,
KS
II
T
ra
n
s.
o
n
In
ter
n
e
t
a
n
d
In
f
o
rm
a
ti
o
n
S
y
ste
ms
,
v
o
l.
6
,
n
o
.
1
,
p
p
.
3
7
8
-
3
9
3
,
Ja
n
u
a
ry
2
0
1
2
.
[
O
n
li
n
e
]
.
A
v
a
il
a
b
le:
h
tt
p
:
//
1
4
0
.
1
1
6
.
7
2
.
8
0
/
sm
a
ll
k
o
/n
s2
/sv
c
.
h
tm
[1
4
]
K.
Ra
n
telo
b
o
,
F
ra
m
e
w
o
rk
a
n
d
T
o
o
l
-
S
e
t
f
o
r
Ev
a
lu
a
ti
n
g
Vid
e
o
T
ra
n
s
m
issio
n
Us
in
g
CS
V
C
,
[
O
n
li
n
e
]
.
A
v
a
il
a
b
le:
h
tt
p
:
//
sites
.
g
o
o
g
le.co
m
/sit
e
/k
a
lv
e
in
ra
n
telo
b
o
/cs
v
c
.
[1
5
]
K.
Ra
n
tel
o
b
o
,
K.
A
.
Nu
g
ra
h
a
,
W
ira
wa
n
,
a
n
d
G
.
He
n
d
ra
n
to
r
o
,
“
Co
m
b
in
e
d
S
c
a
lab
il
it
y
Tec
h
n
iq
u
e
f
o
r
V
id
e
o
T
ra
n
s
m
issio
n
o
v
e
r
W
ir
e
les
s
Ch
a
n
n
e
l
w
it
h
M
IM
O
-
OFDM
S
y
ste
m
s
”
,
In
Pro
c
e
e
d
in
g
o
f
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
In
stru
me
n
ta
ti
o
n
,
C
o
mm
u
n
ic
a
ti
o
n
,
In
fo
rm
a
ti
o
n
T
e
c
h
n
o
l
o
g
y
,
a
n
d
B
io
me
d
ica
l
E
n
g
in
e
e
rin
g
(
ICICI
-
B
M
E
)
2
0
0
9
,
IT
B
,
Ba
n
d
u
n
g
,
In
d
o
n
e
sia
,
2
0
0
9
.
[1
6
]
K.
Ra
n
telo
b
o
,
W
iraw
a
n
,
G
.
He
n
d
ra
n
to
r
o
,
A
.
Aff
a
n
d
i,
a
n
d
H.
Z
h
a
o
,
“
A
d
a
p
ti
v
e
Co
m
b
in
e
d
S
c
a
lab
le
V
id
e
o
Co
d
in
g
o
v
e
r
M
IM
O
-
OFDM
S
y
ste
m
s
u
sin
g
P
a
rti
a
l
Ch
a
n
n
e
l
S
tate
In
f
o
rm
a
ti
o
n
”
,
KS
II
T
ra
n
s.
o
n
I
n
ter
n
e
t
a
n
d
I
n
f
o
rm
a
ti
o
n
S
y
ste
ms
,
v
o
l.
7
,
n
o
.
1
2
,
p
p
.
3
2
0
0
-
3
2
1
9
,
De
c
.
2
0
1
3
.
[1
7
]
P
.
S
e
e
li
n
g
,
M
.
Re
issle
in
,
a
n
d
B
.
Ku
lap
a
la,
“
Ne
tw
o
rk
P
e
rf
o
r
m
a
n
c
e
Ev
a
lu
a
ti
o
n
u
sin
g
F
ra
m
e
S
ize
a
n
d
Qu
a
li
ty
T
ra
c
e
s
o
f
S
in
g
le
-
L
a
y
e
r
a
n
d
T
w
o
-
L
a
y
e
r
V
i
d
e
o
:
A
T
u
to
rial”
,
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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I
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34
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t
w
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a
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sin
c
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1
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9
4
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a
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m
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t
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n
d
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trate
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d
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g
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IEE
E
Evaluation Warning : The document was created with Spire.PDF for Python.