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I
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[
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.
T
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elate
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-
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[
6
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.
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[
7
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.
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c
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p
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ly
i
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[
8
-
1
1
]
.
I
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[
8
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,
d
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Evaluation Warning : The document was created with Spire.PDF for Python.
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T
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18
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4
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[
9
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.
I
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i
n
w
h
i
ch
g
r
o
u
n
d
u
s
e
r
s
c
o
m
u
n
ic
a
t
e
w
ith
s
a
t
e
ll
i
t
e
a
im
s
b
e
e
x
p
l
o
i
t
in
g
N
O
MA
p
r
o
t
o
c
o
l
an
d
t
h
e
as
s
is
t
an
c
e
o
f
a
d
e
c
o
d
e
-
f
o
r
w
a
r
d
(
D
F
)
UA
V
r
e
l
ay
[
1
0
]
.
T
o
f
u
r
t
h
e
r
a
ch
ie
v
e
h
ig
h
e
r
s
p
ec
t
r
u
m
ef
f
i
c
ie
n
cy
,
d
ev
i
c
e
-
to
-
d
ev
i
c
e
(
D
2
D
)
a
p
p
l
i
e
d
t
h
e
s
e
c
o
n
d
a
r
y
n
e
tw
o
r
k
(
S
N
)
i
s
d
e
s
ig
n
e
d
t
o
as
s
i
s
t
t
r
a
n
s
m
is
s
i
o
n
t
o
NO
MA
u
s
e
r
s
o
n
c
e
th
e
p
r
im
a
r
y
n
etw
o
r
k
m
ak
e
i
n
f
lu
en
ce
o
f
i
n
t
e
r
f
e
r
en
c
e
t
o
SN
[
1
1
]
.
A
b
a
ck
-
s
c
a
tt
e
r
NO
MA
s
y
s
t
em
is
c
o
n
s
i
d
e
r
e
d
,
in
w
h
i
c
h
m
u
lt
i
p
l
e
a
n
t
en
n
a
s
b
a
s
e
s
t
a
ti
o
n
s
u
p
p
o
r
t
b
a
c
k
-
s
c
att
e
r
d
e
v
i
c
e
in
a
d
o
w
n
lin
k
N
OM
A
[
1
2
]
.
I
n
a
d
d
it
i
o
n
,
t
o
e
lim
i
n
at
e
th
e
m
u
lt
iu
s
e
r
i
n
te
r
f
e
r
en
c
e
at
th
e
r
e
c
ei
v
e
r
,
th
e
s
u
c
c
ess
iv
e
in
t
e
r
f
e
r
en
c
e
c
an
ce
l
l
a
ti
o
n
(
S
I
C
)
is
a
p
p
l
i
e
d
[
1
3
,
1
4
]
.
T
h
e
c
o
n
s
i
d
e
r
a
b
l
e
i
n
te
r
e
s
t
r
eg
a
r
d
in
g
NO
MA
c
an
b
e
p
r
o
p
o
s
e
d
in
m
an
y
m
o
d
el
s
i
n
ex
is
t
in
g
a
n
d
f
u
t
u
r
e
w
i
r
e
l
es
s
c
o
m
m
u
n
ic
a
t
i
o
n
s
s
y
s
tem
s
.
I
n
[
1
5
-
1
8
]
,
r
e
l
i
a
b
i
l
ity
,
s
ec
u
r
i
ty
c
a
p
a
b
i
li
ty
an
d
o
u
t
ag
e
p
r
o
b
a
b
i
l
ity
a
r
e
m
a
in
m
e
t
r
i
c
s
t
o
ex
p
l
o
i
t
t
h
e
p
h
y
s
i
c
al
l
ay
e
r
s
e
cu
r
i
ty
in
N
O
MA
.
I
n
p
a
r
ti
cu
l
a
r
,
t
h
e
o
p
t
im
a
l
s
e
c
r
e
cy
s
u
m
r
at
e
c
an
b
e
in
t
r
o
d
u
c
e
d
in
s
in
g
l
e
-
i
n
p
u
t
s
in
g
l
e
-
o
u
t
p
u
t
(
S
I
SO
)
N
OM
A
s
y
s
t
em
[
1
8
]
,
in
w
h
i
ch
a
p
r
e
d
e
f
in
e
d
q
u
a
l
ity
o
f
s
e
r
v
i
c
e
(
Qo
S
)
r
e
q
u
i
r
em
en
t
is
a
s
s
ig
n
e
d
f
o
r
e
a
ch
u
s
e
r
[
1
9
]
.
M
o
r
e
o
v
e
r
,
m
o
s
t
o
f
th
e
cu
r
r
en
t
l
i
t
e
r
atu
r
e
l
a
i
d
m
ain
in
t
e
r
est
f
o
r
th
e
r
o
l
e
o
f
d
o
w
n
l
in
k
NO
MA
o
v
e
r
R
ay
l
ei
g
h
f
a
d
i
n
g
[
2
0
-
2
2
]
,
a
n
d
t
h
e
im
p
a
c
t
o
f
Na
k
a
g
am
i
-
m
f
ad
i
n
g
in
s
u
ch
N
OM
A
h
as
n
o
t
b
e
e
n
w
el
l
s
tu
d
i
e
d
.
T
o
r
e
d
u
c
e
m
u
l
ti
p
l
e
ty
p
e
s
o
f
ch
an
n
e
l
,
N
ak
ag
am
i
-
m
f
a
d
in
g
ch
an
n
e
l
is
an
a
ly
s
e
d
t
o
in
d
i
ca
t
e
s
y
s
tem
p
e
r
f
o
r
m
an
c
e
w
ith
th
e
d
i
f
f
e
r
e
n
t
p
a
r
am
e
t
e
r
s
e
t
t
in
g
s
.
F
o
r
e
x
am
p
l
e
,
R
ay
l
ei
g
h
f
a
d
in
g
is
s
p
e
ci
a
l
c
as
e
o
f
Na
k
ag
am
i
f
a
d
in
g
as
p
a
r
am
et
e
r
is
s
e
t
=
1
.
M
o
t
iv
a
te
d
b
y
af
o
r
em
en
t
i
o
n
e
d
c
o
n
s
i
d
e
r
a
tio
n
s
,
in
th
is
p
a
p
e
r
w
e
an
a
ly
ze
t
h
e
o
u
t
ag
e
p
e
r
f
o
r
m
an
c
e
o
f
N
OM
A
t
o
s
h
o
w
d
if
f
e
r
en
t
p
e
r
f
o
r
m
an
c
e
o
f
tw
o
N
OM
A
u
s
e
r
s
an
d
t
h
e
s
e
r
el
a
t
e
d
ex
p
r
es
s
i
o
n
s
o
f
o
u
t
ag
e
b
eh
av
i
o
r
a
r
e
d
e
r
iv
ed
w
it
h
r
es
p
e
c
t
t
o
N
ak
ag
am
i
-
m
f
a
d
in
g
ch
an
n
e
ls
.
T
h
e
c
o
n
t
r
i
b
u
ti
o
n
o
f
t
h
i
s
p
a
p
e
r
is
th
r
e
e
-
f
o
l
d
:
W
e
i
n
v
es
t
ig
at
e
th
e
im
p
a
c
t
o
f
p
o
w
e
r
al
l
o
c
a
ti
o
n
f
a
c
t
o
r
s
f
o
r
tw
o
N
O
MA
u
s
e
r
s
o
n
th
e
p
e
r
f
o
r
m
an
c
e
o
f
s
u
ch
N
O
MA
n
etw
o
r
k
.
M
o
r
e
s
p
e
c
if
i
c
a
l
ly
,
w
e
f
o
cu
s
o
n
th
e
d
i
r
e
c
t
l
i
n
k
f
r
o
m
th
e
b
a
s
e
s
ta
t
i
o
n
to
m
o
b
i
l
e
u
s
e
r
s
.
I
n
s
u
ch
a
s
c
en
a
r
i
o
,
a
s
im
p
l
e
c
l
o
s
e
d
-
f
o
r
m
f
o
r
th
e
o
u
t
ag
e
p
r
o
b
a
b
i
l
i
ty
is
d
e
r
iv
e
d
.
W
e
d
e
r
i
v
e
an
ex
a
ct
ex
p
r
e
s
s
i
o
n
f
o
r
o
u
ta
g
e
p
r
o
b
a
b
i
l
i
ty
in
th
e
c
a
s
e
th
at
th
e
SO
S
o
f
th
e
ch
an
n
e
ls
is
k
n
o
w
n
.
S
in
c
e
t
h
e
ch
an
n
e
ls
a
r
e
N
ak
ag
am
i
-
m
f
a
d
in
g
,
o
th
e
r
p
a
r
am
et
e
r
s
a
r
e
im
p
a
c
ts
o
n
th
e
s
y
s
t
em
p
e
r
f
o
r
m
an
c
e
a
n
d
t
h
es
e
r
esu
l
ts
a
r
e
a
p
p
li
e
d
t
o
y
i
e
ld
p
e
r
f
o
r
m
a
n
c
e
c
o
m
p
a
r
is
o
n
o
n
tw
o
N
O
MA
u
s
e
r
s
.
W
e
p
r
e
s
en
t
a
c
o
n
s
i
d
e
r
a
ti
o
n
o
n
th
r
o
u
g
h
p
u
t
i
n
d
e
l
ay
-
l
im
it
ed
m
o
d
e
f
o
r
s
u
ch
N
O
MA
s
ch
em
e
,
b
as
e
d
o
n
a
c
h
ie
v
e
d
o
u
t
ag
e
p
r
o
b
a
b
i
l
ity
.
T
h
e
p
r
es
en
t
e
d
an
a
ly
ti
c
al
an
d
n
u
m
e
r
ic
a
l
r
esu
l
ts
d
em
o
n
s
t
r
a
t
e
t
h
at
N
O
MA
a
l
w
ay
s
a
c
h
ie
v
e
s
r
e
as
o
n
a
b
l
e
p
e
r
f
o
r
m
an
c
e
i
n
d
e
p
l
o
y
m
en
t
o
f
N
O
MA
in
r
e
a
l
a
p
p
l
i
c
at
i
o
n
s
.
T
h
e
r
em
ai
n
in
g
p
a
r
t
s
o
f
th
e
p
ap
e
r
i
s
s
u
m
m
a
r
i
z
e
d
as
f
o
l
l
o
w
s
.
S
e
c
t
i
o
n
2
il
lu
s
t
r
a
t
es
th
e
s
y
s
t
em
m
o
d
e
l
o
f
d
o
w
n
l
in
k
N
O
MA
.
S
e
c
ti
o
n
3
s
tu
d
i
es
th
e
o
u
t
ag
e
p
e
r
f
o
r
m
an
c
e
an
d
th
r
o
u
g
h
p
u
t
in
d
e
lay
-
l
im
it
e
d
t
r
an
s
m
is
s
i
o
n
m
o
d
e
,
w
h
i
l
e
s
e
c
t
i
o
n
4
in
v
e
s
t
ig
a
t
es
th
e
d
iv
e
r
s
ity
o
r
d
e
r
an
aly
s
i
s
o
f
NO
MA
s
y
s
t
em
s
b
as
e
d
o
n
d
e
r
iv
e
d
o
u
t
ag
e
p
r
o
b
a
b
i
l
i
ty
.
I
n
s
e
c
t
i
o
n
5
,
t
o
ex
am
in
e
th
e
a
cc
u
r
a
cy
o
f
th
e
p
r
o
p
o
s
e
d
an
a
ly
s
is
,
n
u
m
e
r
i
c
al
r
es
u
l
ts
a
r
e
p
e
r
f
o
r
m
e
d
a
n
d
M
o
n
t
e
C
a
r
l
o
s
im
u
la
t
i
o
n
s
a
r
e
d
e
p
l
o
y
e
d
.
Fin
a
l
ly
,
S
e
c
ti
o
n
6
c
o
n
c
l
u
d
es
th
e
p
a
p
e
r
.
2.
SYST
E
M
M
O
DE
L
T
h
is
p
ap
er
s
tu
d
ies
Nak
a
g
a
m
i
-
m
c
h
an
n
el
m
o
d
el
d
ep
lo
y
i
n
g
in
d
o
w
n
lin
k
f
r
o
m
th
e
b
ase
s
tatio
n
(
B
S)
to
t
w
o
NOM
A
u
s
er
s
.
I
n
t
h
is
s
ce
n
ar
io
,
p
air
o
f
NOM
A
u
s
e
r
s
is
co
n
s
id
er
ed
to
h
ig
h
li
g
h
t
d
if
f
er
e
n
t
o
u
ta
g
e
p
er
f
o
r
m
a
n
ce
.
I
n
p
ar
tic
u
lar
,
th
e
b
ase
s
tatio
n
(
B
S)
s
er
v
es
t
wo
u
s
er
s
i
n
cl
u
d
in
g
(
n
ea
r
u
s
er
)
an
d
(
f
ar
u
s
er
)
as
illu
s
tr
ated
in
F
ig
u
r
e
1
.
Fo
r
s
im
p
le
co
m
p
u
tatio
n
,
all
n
o
d
es
ar
e
eq
u
ip
p
ed
w
ith
s
i
n
g
le
a
n
ten
n
a.
W
e
d
en
o
te
d
ir
ec
t
lin
k
s
B
S
to
t
w
o
NOM
A
u
s
er
s
,
ar
e
ℎ
1
an
d
ℎ
2
,
r
esp
ec
tiv
el
y
.
T
o
ad
ap
t
to
NOM
A
r
eq
u
ir
e
m
en
t
f
o
r
d
ec
o
d
in
g
o
p
er
atio
n
,
th
e
ar
r
an
g
e
m
e
n
t
o
f
c
h
an
n
el
g
ain
s
ar
e
|
ℎ
1
|
2
≤
|
ℎ
2
|
2
.
T
h
e
tr
an
s
m
itted
s
i
g
n
al
w
it
h
co
r
r
esp
o
n
d
in
g
e
n
er
g
y
is
n
o
r
m
alize
d
to
o
n
e.
Me
a
n
w
h
ile,
t
h
e
n
o
is
e
ter
m
s
ar
e
ad
d
iti
v
e
wh
ite
Gau
s
s
ia
n
n
o
is
e
(
A
W
GN
)
w
i
th
z
e
r
o
m
e
an
a
n
d
v
a
r
i
an
c
e
o
f
0
.
T
o
p
e
r
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o
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m
s
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ly
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is
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s
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e
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e
B
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s
m
its
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e
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u
p
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r
p
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e
d
s
i
g
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al
√
+
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t
o
t
w
o
N
OM
A
u
s
e
r
s
,
a
n
d
,
w
h
i
l
e
a
n
d
a
r
e
th
e
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ig
n
a
l
f
o
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d
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e
s
p
e
c
ti
v
e
ly
.
T
h
e
p
o
w
e
r
a
l
l
o
c
at
i
o
n
c
o
ef
f
i
cie
n
ts
i
n
cl
u
d
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n
g
a
n
d
a
r
e
a
l
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t
e
d
t
o
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d
r
e
s
p
ec
t
iv
e
ly
,
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d
it
is
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o
n
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t
r
a
in
e
d
b
y
+
=
1
.
I
t
is
f
u
r
t
h
er
ass
u
m
ed
t
h
at
>
.
I
t
is
ass
u
m
ed
th
at
is
SIC
-
b
ased
u
s
er
w
h
i
le
i
s
h
ig
h
er
p
r
io
r
it
y
to
d
ec
o
d
e
its
s
ig
n
al
.
T
h
e
r
ec
eiv
ed
s
ig
n
a
l a
t th
e
t
w
o
NOM
A
u
s
er
s
,
an
d
ar
e
g
iv
e
n
b
y
(
1
)
Evaluation Warning : The document was created with Spire.PDF for Python.
T
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L
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NI
K
A
T
elec
o
m
m
u
n
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m
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l
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o
n
tr
o
l
S
tu
d
y
o
n
tr
a
n
s
mis
s
io
n
o
ve
r
N
a
ka
g
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mi
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m
fa
d
i
n
g
ch
a
n
n
el
f
o
r
…
(
C
h
i
-
B
a
o
Le
)
2207
(
2
)
in
w
h
ich
n
o
is
e
ter
m
s
at
u
s
er
an
d
ar
e
A
W
GN
w
it
h
th
eir
n
o
tatio
n
s
,
i.e
.
1
an
d
2
r
esp
ec
tiv
el
y
.
C
o
n
s
id
er
in
g
o
n
s
i
g
n
al
d
etec
ti
o
n
at
,
it
is
r
eq
u
ir
ed
to
co
m
p
u
te
th
e
r
ec
eiv
ed
s
i
g
n
al
to
in
ter
f
er
en
ce
an
d
n
o
is
e
r
atio
(
SIN
R
)
.
A
t sid
e
o
f
u
s
er
,
to
d
etec
t its
o
w
n
s
i
g
n
al
a
n
d
co
r
r
esp
o
n
d
in
g
SIN
R
ca
n
b
e
d
eter
m
in
ed
b
y
(
3
)
w
h
er
e
th
e
tr
an
s
m
it
s
i
g
n
al
to
n
o
is
e
r
atio
(
SNR
)
co
m
p
u
ted
at
th
e
B
S
as
=
0
.
T
o
d
etec
t
an
d
d
ec
o
d
e
th
e
’
s
in
f
o
r
m
atio
n
,
SI
C
is
r
eq
u
ir
ed
to
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er
f
o
r
m
at
in
f
ir
s
t
s
tep
r
elat
ed
to
NOM
A
s
i
g
n
al
p
r
o
ce
s
s
i
n
g
.
I
n
s
i
m
ilar
w
a
y
,
s
u
c
h
r
ec
eiv
ed
SIN
R
at
ca
n
b
e
ex
p
r
ess
ed
as
(
4
)
B
y
a
s
s
i
s
ta
n
ce
o
f
SIC,
r
e
g
ar
d
in
g
o
n
d
ec
o
d
in
g
o
f
th
e
f
ar
u
s
e
r
’
s
m
es
s
ag
e,
ca
n
d
ec
o
d
e
its
o
w
n
i
n
f
o
r
m
atio
n
an
d
th
e
r
elate
d
SNR
i
s
ex
a
m
i
n
ed
b
y
(
5
)
I
n
th
e
n
e
x
t
s
ec
t
io
n
,
th
e
s
e
ac
h
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ed
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R
ex
p
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n
s
ar
e
d
ep
lo
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ed
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o
u
ta
g
e
m
e
tr
ic
a
n
al
y
s
i
s
.
W
e
f
u
r
th
er
p
r
o
v
id
e
th
ese
co
n
s
id
er
ed
o
u
ta
g
e
co
m
p
u
ta
tio
n
.
Fig
u
r
e
1
.
S
y
s
te
m
m
o
d
el
o
f
d
o
w
n
li
n
k
t
w
o
-
u
s
er
NOM
A
3.
P
E
RF
O
RM
ANCE E
VA
L
U
AT
I
O
N:
O
UT
AG
E
P
RO
B
A
B
I
L
I
T
Y
AND
T
H
RO
UG
H
P
UT
3
.
1
.
O
uta
g
e
P
r
o
ba
bil
it
y
I
n
t
h
is
o
b
s
er
v
atio
n
,
m
ain
m
etr
ic
r
elate
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to
u
s
er
q
u
a
lit
y
o
f
s
e
r
v
ice
(
Qo
S)
i
s
o
u
tag
e
p
r
o
b
ab
i
lit
y
.
Su
c
h
an
o
u
tag
e
p
r
o
b
ab
ilit
y
o
f
ea
c
h
NO
M
A
u
s
er
o
v
er
Na
k
ag
a
m
i
-
m
f
ad
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g
c
h
a
n
n
el
s
i
s
a
n
a
l
y
ze
d
i
n
f
o
llo
w
i
n
g
s
ec
tio
n
.
I
t
is
w
e
ll
-
k
n
o
w
n
t
h
at
co
n
s
id
er
atio
n
o
n
t
h
e
p
r
o
b
ab
ilit
y
d
en
s
it
y
f
u
n
ctio
n
(
P
DF)
w
it
h
r
esp
ec
t
to
=
|
ℎ
|
an
d
it is
f
o
r
m
u
lated
b
y
(
6
)
w
h
er
e
Γ
(
.
)
is
is
Ga
m
m
a
f
u
n
ctio
n
,
m
u
l
tip
ath
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ad
i
n
g
p
ar
a
m
et
er
s
ar
e
0
an
d
.
T
o
r
ec
all
th
e
P
DF
an
d
cu
m
u
lat
iv
e
d
is
tr
ib
u
tio
n
f
u
n
ct
i
o
n
(
C
DF)
f
u
n
ctio
n
w
i
th
r
esp
ec
t to
⋋
=
2
as b
elo
w
[
2
3
]
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6930
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
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l
C
o
n
tr
o
l
,
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l.
18
,
No
.
4
,
A
u
g
u
s
t 2
0
2
0
:
2
2
0
5
-
2
2
1
2
2208
(
7
)
(
8
)
w
h
er
e
0
=
Ε
{
⋋
2
}
is
d
en
o
ted
as
th
e
av
er
a
g
e
p
o
w
er
.
I
n
t
h
is
ca
s
e,
t
h
e
P
D
F
an
d
C
DF
o
f
t
h
e
u
s
er
c
h
a
n
n
e
l
g
ai
n
|
ℎ
|
2
ca
n
b
e
ex
p
r
ess
ed
.
T
h
e
P
DF a
n
d
C
DF o
f
ch
a
n
n
el
ℎ
[
2
4
]
ar
e
(
9
)
A
nd
(
1
0
)
r
esp
ec
tiv
el
y
,
w
h
er
e
|
ℎ
|
s
tan
d
s
f
o
r
ch
an
n
el
tr
an
s
m
it
ti
n
g
f
r
o
m
th
e
B
S
to
an
ar
b
itra
r
y
u
s
er
.
I
t
is
n
o
ted
th
at
th
o
s
e
c
h
an
n
el
s
ar
e
u
n
s
o
r
ted
ch
an
n
el
g
ai
n
.
I
n
p
ar
tic
u
lar
,
th
e
u
s
er
s
ca
n
d
etec
t
th
eir
o
w
n
s
i
g
n
al
-
b
ased
p
r
io
r
it
y
o
f
d
if
f
er
e
n
t
s
er
v
ices
i
n
th
i
s
co
n
s
id
er
ed
NOM
A
s
c
h
e
m
e.
I
n
f
ac
t,
SIC
o
p
er
atio
n
ca
n
b
e
d
e
p
lo
y
ed
in
s
p
ec
if
i
c
s
itu
a
tio
n
.
C
o
n
s
eq
u
e
n
tl
y
,
a
n
o
u
tag
e
b
e
h
av
io
r
o
f
is
d
eter
m
i
n
ed
as
w
o
r
s
e
ca
s
e.
T
o
m
a
k
e
it
clea
r
,
th
e
o
u
tag
e
p
r
o
b
a
b
ilit
y
o
f
is
f
o
r
m
u
lated
b
y
(
1
1
)
w
h
er
e
w
it
h
ℎ
=
2
2
−
1
w
i
th
is
ca
lled
a
s
tar
g
et
r
ate
at
.
T
h
e
o
u
tag
e
p
r
o
b
a
b
ilit
y
is
e
x
p
lai
n
ed
as
f
o
llo
w
in
g
p
r
o
p
o
s
itio
n
p
r
o
v
id
in
g
p
er
f
o
r
m
an
ce
o
f
.
P
r
o
p
o
s
itio
n
1
.
T
h
e
o
u
tag
e
p
r
o
b
ab
ilit
y
is
i
n
v
e
s
ti
g
ated
at
as
:
(1
2
)
w
h
er
e
w
it
h
!
0
!
1
!
…
−
1
.
I
t
is
n
o
ted
th
at
lin
k
b
et
w
ee
n
th
e
B
S
an
d
th
e
u
s
er
,
an
d
lin
k
f
r
o
m
t
h
e
B
S
to
u
s
er
ar
e
Ω
1
,
Ω
2
as th
e
av
er
a
g
e
p
o
w
er
f
o
r
,
r
esp
ec
tiv
el
y
.
P
r
o
o
f
: I
t c
an
b
e
s
h
o
w
n
o
u
ta
g
e
b
eh
av
io
r
as
:
(
1
3
)
T
h
en
it c
an
b
e
r
e
-
co
m
p
u
ted
b
y
:
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
S
tu
d
y
o
n
tr
a
n
s
mis
s
io
n
o
ve
r
N
a
ka
g
a
mi
-
m
fa
d
i
n
g
ch
a
n
n
el
f
o
r
…
(
C
h
i
-
B
a
o
Le
)
2209
(
14
)
No
w
,
w
e
f
o
cu
s
p
er
f
o
r
m
a
n
ce
o
f
.
I
t
is
w
o
r
t
h
n
o
ti
n
g
t
h
at
w
e
r
eq
u
ir
e
ca
n
f
ir
s
t
d
etec
t
’
s
in
f
o
r
m
atio
n
a
n
d
th
en
ex
tr
ac
t
s
it
s
o
w
n
i
n
f
o
r
m
a
tio
n
i
n
s
ec
o
n
d
co
n
s
tr
ai
n
t.
T
h
er
ef
o
r
e,
th
e
o
u
ta
g
e
p
r
o
b
ab
ilit
y
f
o
r
in
t
h
i
s
ca
s
e
ca
n
b
e
ex
a
m
in
ed
b
y
:
(
1
5
)
w
h
er
e
tar
g
e
t
r
ate
at
as
an
d
th
en
ℎ
=
2
2
−
1
w
i
t
h
b
ein
g
t
h
e
tar
g
et
r
a
te
at
.
I
t
is
n
ec
es
s
ar
y
to
co
n
s
id
er
p
er
f
o
r
m
an
ce
o
f
u
s
er
.
P
r
o
p
o
s
itio
n
2
.
T
h
e
o
u
tag
e
p
r
o
b
ab
ilit
y
o
f
is
co
m
p
u
ted
b
y
:
(
16
)
P
r
o
o
f
:
Su
b
s
t
itu
tin
g
(
4
)
an
d
(
5
)
in
to
(
1
5
)
th
e
o
u
tag
e
p
r
o
b
ab
ilit
y
o
f
is
ex
p
r
ess
ed
b
elo
w
:
(
1
7
)
T
h
en
,
it c
an
b
e
r
e
-
w
r
itte
n
as
(
18
)
3
.
2
.
T
hro
ug
hp
ut
in dela
y
-
lim
it
e
d t
ra
ns
m
i
s
s
io
n
m
o
de
T
h
e
o
u
tag
e
p
r
o
b
ab
ilit
y
is
u
s
ed
to
ac
h
iev
e
t
h
r
o
u
g
h
p
u
t
p
er
f
o
r
m
a
n
ce
.
A
t
f
i
x
ed
d
ata
r
ates
;
,
th
e
th
r
o
u
g
h
p
u
t i
s
ca
lcu
lated
as
(
1
9
)
4.
DIVE
RSI
T
Y
AN
AL
Y
SI
S
T
o
p
r
o
v
id
e
in
s
ig
h
ts
,
d
iv
er
s
it
y
o
r
d
er
is
s
tu
d
ied
.
B
y
d
ef
i
n
itio
n
,
th
e
d
iv
er
s
it
y
o
r
d
er
is
f
o
r
m
u
lat
ed
b
y
(
20
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6930
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
18
,
No
.
4
,
A
u
g
u
s
t 2
0
2
0
:
2
2
0
5
-
2
2
1
2
2210
I
n
ter
esti
n
g
l
y
,
t
h
e
ap
p
r
o
x
i
m
ate
co
m
p
u
tatio
n
o
f
ch
a
n
n
el
ℎ
in
ca
s
e
o
f
→
0
ar
e
g
iv
e
n
b
y
[
2
5
]
:
(
2
1
)
B
ased
o
n
(
2
1
)
,
th
e
as
y
m
p
to
tic
o
u
tag
e
p
r
o
b
ab
ilit
y
f
o
r
(
1
2
)
is
g
iv
e
n
b
y
:
(
22
)
Si
m
i
lar
to
(
2
2
)
,
th
e
as
y
m
p
to
tic
o
u
tag
e
p
r
o
b
ab
ilit
y
f
o
r
(
1
6
)
is
g
iv
e
n
b
y
:
(
2
3
)
5.
NUM
E
RICAL
R
E
SU
L
T
I
n
th
i
s
s
ec
tio
n
,
n
u
m
er
ical
r
es
u
lts
an
d
Mo
n
te
C
ar
lo
s
i
m
u
latio
n
s
ar
e
p
r
o
v
id
ed
to
v
alid
ate
th
e
a
n
al
y
t
ical
r
esu
lt
s
p
r
esen
ted
i
n
t
h
is
p
ap
er
.
P
ar
ticu
lar
l
y
,
t
h
e
p
ar
a
m
e
t
er
s
u
s
ed
i
n
t
h
e
s
i
m
u
la
tio
n
s
ar
e
s
et
a
s
f
o
llo
w
.
T
h
e
Mo
n
te
C
ar
lo
s
i
m
u
latio
n
r
esu
lt
s
ar
e
av
er
ag
ed
o
v
er
1
0
5
i
n
d
ep
en
d
en
t
tr
ials
.
W
e
ca
ll
as
User
f
an
d
as
User
n
i
n
t
h
is
s
ec
tio
n
f
o
r
s
i
m
p
licit
y
.
I
n
F
ig
u
r
e
2
,
th
e
o
u
tag
e
p
r
o
b
ab
ilit
y
o
f
t
w
o
u
s
e
r
’
s
p
er
f
o
r
m
a
n
ce
i
s
illu
s
tr
ated
as
v
ar
y
i
n
g
SN
R
with
=
1
.
B
y
m
atc
h
i
n
g
w
it
h
t
h
e
t
h
eo
r
etica
l
r
esu
lts
d
er
i
v
ed
,
th
e
ex
ac
t
n
ess
is
v
er
if
ied
f
o
r
o
u
tag
e
p
r
o
b
ab
ilit
y
cu
r
v
es
to
h
ig
h
li
g
h
t
p
er
f
o
r
m
an
ce
t
w
o
NOM
A
u
s
er
s
f
o
r
N
OM
A
.
I
t
i
s
r
ec
alled
th
at
th
e
s
e
c
h
an
n
el
ar
e
Na
k
ag
a
m
i
-
m
f
ad
i
n
g
c
h
an
n
el
s
.
T
h
e
o
th
er
o
b
s
er
v
atio
n
i
s
t
h
at,
at
h
ig
h
SNR
,
th
e
as
y
m
p
to
tic
cu
r
v
es
w
ell
ap
p
r
o
ac
h
w
it
h
t
h
e
ex
ac
t
c
u
r
v
es.
A
t
h
i
g
h
SN
R
r
eg
i
m
e,
it
ca
n
b
e
s
ee
n
t
h
at
NOM
A
is
b
etter
th
an
O
M
A
in
ter
m
s
o
f
o
u
ta
g
e
p
r
o
b
ab
ilit
y
.
T
o
co
n
s
id
er
i
m
p
ac
t
o
f
p
ar
a
m
eter
s
r
eg
ar
d
in
g
Nak
a
g
a
m
i
-
m
f
ad
in
g
c
h
a
n
n
el,
Fi
g
u
r
e
3
s
h
o
w
s
o
u
ta
g
e
p
r
o
b
a
b
ilit
y
v
er
s
u
s
SNR
w
it
h
r
esp
ec
t
to
th
e
th
eo
r
etica
l
an
aly
s
is
in
t
w
o
ca
s
es
=
2
an
d
=
3
.
I
t
is
o
b
s
er
v
ed
th
at
as
t
h
e
p
ar
am
e
ter
in
cr
ea
s
es,
o
u
r
NOM
A
s
y
s
te
m
h
as
i
m
p
r
o
v
ed
o
u
tag
e
p
r
o
b
a
b
ilit
y
.
T
h
is
is
g
u
id
eli
n
es
to
d
esig
n
NOM
A
w
i
th
Na
k
a
g
a
m
i
-
m
f
ad
i
n
g
in
r
ea
l
p
r
ac
tice.
Fi
g
u
r
e
4
p
lo
ts
t
h
e
o
u
ta
g
e
p
r
o
b
ab
ilit
y
o
f
th
e
f
ar
u
s
er
s
v
er
s
u
s
=
w
it
h
d
if
f
er
e
n
t
tr
an
s
m
i
t
SNR
at
th
e
B
S.
On
e
ca
n
o
b
s
er
v
e
th
at
th
e
o
u
tag
e
p
r
o
b
ab
ilit
ies
o
f
t
w
o
u
s
er
s
i
n
cr
ea
s
e
as
=
in
cr
ea
s
es.
T
h
e
r
ea
s
o
n
is
th
at
in
cr
ea
s
in
g
=
w
ill
m
a
k
e
t
h
e
th
r
es
h
o
ld
o
f
d
ec
o
d
in
g
h
i
g
h
er
,
a
n
d
th
e
n
m
o
r
e
o
u
t
ag
e
is
r
aised
.
I
t
ca
n
also
b
e
o
b
s
er
v
ed
th
at
p
er
f
o
r
m
a
n
ce
g
ap
b
et
w
ee
n
OM
A
an
d
NOM
A
is
s
m
all
i
n
ter
m
o
f
t
h
e
o
u
ta
g
e
p
er
f
o
r
m
a
n
c
e.
W
h
ile
Fig
u
r
e
5
in
d
icate
d
th
at
=
3
is
b
est
p
er
f
o
r
m
a
n
ce
as c
o
m
p
ar
i
n
g
s
u
c
h
s
y
s
te
m
at
d
if
f
er
e
n
t p
ar
a
m
ete
r
r
eg
ar
d
in
g
Na
k
ag
a
m
i
-
m
f
ad
i
n
g
.
Fig
u
r
e
2
.
Ou
tag
e
p
r
o
b
ab
ilit
y
v
er
s
u
s
S
NR
w
i
th
=
1
,
=
2
an
d
=
1
Fig
u
r
e
3
.
Ou
tag
e
p
r
o
b
ab
ilit
y
v
er
s
u
s
S
NR
w
i
th
=
1
,
=
2
,
=
2
an
d
=
3
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
S
tu
d
y
o
n
tr
a
n
s
mis
s
io
n
o
ve
r
N
a
ka
g
a
mi
-
m
fa
d
i
n
g
ch
a
n
n
el
f
o
r
…
(
C
h
i
-
B
a
o
Le
)
2211
Mo
r
eo
v
er
,
f
r
o
m
Fi
g
u
r
e
6
,
w
e
ca
n
o
b
s
er
v
e
t
h
at
a
f
h
a
s
a
co
n
s
i
d
er
ab
le
im
p
ac
t o
n
t
h
e
o
u
tag
e
p
r
o
b
a
b
ilit
y
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
te
m
a
t
d
if
f
er
en
t
SNR
.
I
t
is
i
n
ter
es
tin
g
as
f
i
n
d
in
g
o
p
ti
m
al
o
u
ta
g
e
at
s
p
ec
if
ic
v
alu
e
o
f
.
T
o
f
u
r
t
h
er
e
v
al
u
atio
n
,
f
r
o
m
Fi
g
u
r
e
7
,
th
er
e
also
e
x
i
s
t
a
n
o
p
ti
m
al
o
u
ta
g
e
t
h
r
es
h
o
ld
f
o
r
all
Na
k
ag
a
m
i
-
m
c
h
an
n
el
s
as
v
ar
y
i
n
g
m
.
T
h
is
is
i
n
tu
iti
v
e,
s
in
ce
ac
co
r
d
in
g
to
(
1
9
)
,
th
e
o
u
tag
e
b
eh
av
io
r
is
r
elate
d
t
o
th
r
o
u
g
h
p
u
t.
I
t
is
n
o
ted
th
at
t
h
e
t
h
r
es
h
o
ld
is
s
m
all,
th
r
o
u
g
h
p
u
t
is
lo
w
.
Ho
w
ev
er
,
th
r
o
u
g
h
p
u
t
w
i
ll
b
e
i
n
cr
ea
s
e
as
t
h
r
es
h
o
ld
r
ate
in
cr
ea
s
es
to
o
p
ti
m
al
v
alu
e.
W
h
en
t
h
e
t
h
r
esh
o
ld
r
ate
is
l
ar
g
er
th
a
n
o
p
t
i
m
al
p
o
in
t,
th
e
o
u
tag
e
p
r
o
b
ab
ilit
y
in
cr
ea
s
es
s
ig
n
i
f
ica
n
tl
y
,
w
h
ic
h
ag
ain
d
eg
r
ad
es
t
h
e
th
r
o
u
g
h
p
u
t
.
I
n
ad
d
itio
n
,
w
e
f
i
n
d
an
in
ter
e
s
tin
g
p
h
e
n
o
m
e
n
o
n
th
at
t
h
e
o
p
ti
m
al
o
u
ta
g
e
t
h
r
es
h
o
ld
is
f
o
u
n
d
v
ia
s
u
ch
s
i
m
u
lati
o
n
.
Fig
u
r
e
4
.
R
a
y
lei
g
h
f
ad
i
n
g
=
1
,
=
2
an
d
=
1
Fig
u
r
e
5
.
Nak
ag
a
m
i
-
m
f
ad
i
n
g
=
1
,
=
10
,
=
2
,
=
2
an
d
=
3
Fig
u
r
e
6
.
Ou
tag
e
p
r
o
b
ab
ilit
y
c
o
m
p
ar
is
o
n
w
it
h
r
esp
ec
t
to
th
e
p
o
w
er
allo
ca
tio
n
co
ef
f
ic
ien
t
:
=
1
,
=
2
,
an
d
=
2
Fig
u
r
e
7
.
Nak
ag
a
m
i
-
m
f
ad
i
n
g
=
1
,
=
10
,
=
2
,
=
2
an
d
=
3
6.
CO
NCLU
SI
O
N
T
h
e
n
o
v
el
NOM
A
s
ch
e
m
e
b
ased
o
n
Nak
ag
a
m
i
-
m
f
ad
in
g
f
o
r
d
o
w
n
lin
k
is
p
r
esen
ted
.
I
n
th
e
s
ch
e
m
e
,
p
o
w
er
allo
ca
tio
n
f
ac
to
r
s
,
tr
an
s
m
i
t
SNR
at
t
h
e
B
S,
th
r
es
h
o
l
d
r
ates
at
ea
ch
u
s
er
ar
e
j
o
in
tly
d
e
s
ig
n
ed
to
f
i
n
d
o
p
tim
a
l
p
er
f
o
r
m
a
n
ce
.
Mo
r
eo
v
er
,
t
w
o
NOM
A
u
s
er
s
i
n
d
if
f
er
en
t
o
u
ta
g
e
p
er
f
o
r
m
a
n
ce
a
r
e
d
is
tin
g
u
i
s
h
ed
a
s
v
ar
y
i
n
g
p
ar
a
m
eter
o
f
Na
k
ag
a
m
i
-
m
f
ad
i
n
g
.
A
clo
s
ed
-
f
o
r
m
ex
p
r
ess
io
n
o
f
o
u
at
g
e
is
d
e
v
elo
p
ed
to
ex
am
i
n
e
s
y
s
te
m
p
er
f
o
r
m
an
ce
u
n
d
er
th
e
co
n
s
tr
ain
t
o
f
i
n
d
iv
id
u
al
r
ate
b
u
d
g
et.
Si
m
u
latio
n
r
es
u
lt
s
s
h
o
w
t
h
at
th
e
e
x
ac
t
n
es
s
o
f
d
er
iv
ed
ex
p
r
ess
io
n
o
f
th
e
p
r
o
p
o
s
ed
s
ch
e
m
e
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6930
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
18
,
No
.
4
,
A
u
g
u
s
t 2
0
2
0
:
2
2
0
5
-
2
2
1
2
2212
R
E
F
E
RE
NC
E
S
[1
]
Din
h
-
T
h
u
a
n
D
o
a
n
d
C
h
i
-
Ba
o
L
e
,
“
A
p
p
li
c
a
ti
o
n
o
f
NO
M
A
in
W
irele
ss
S
y
ste
m
w
it
h
W
ir
e
les
s
P
o
w
e
r
T
r
a
n
sfe
r
S
c
h
e
m
e
:
Ou
tag
e
a
n
d
Erg
o
d
ic Ca
p
a
c
it
y
P
e
rf
o
rm
a
n
c
e
A
n
a
l
y
sis
,
”
S
e
n
so
rs
,
v
o
l.
1
8
,
n
o
.
1
0
,
p
p
.
1
-
17
,
2
0
1
8
.
[2
]
X
.
Zh
a
n
g
,
Q.
G
a
o
,
C.
G
o
n
g
,
a
n
d
Z.
Xu
,
“
Us
e
r
g
ro
u
p
i
n
g
a
n
d
p
o
w
e
r
a
ll
o
c
a
ti
o
n
f
o
r
NO
M
A
v
isib
le
li
g
h
t
c
o
m
m
u
n
ica
ti
o
n
m
u
lt
i
-
c
e
ll
n
e
tw
o
rk
s
,
”
IEE
E
Co
mm
u
n
ica
ti
o
n
s L
e
t
ter
s
,
v
o
l.
2
1
,
n
o
.
4
,
p
p
.
7
7
7
-
7
8
0
,
2
0
1
6
.
[3
]
M.
N.
P
h
a
m
,
Di
nh
T
h
u
a
n
Do
,
T
.
T
.
Ng
u
y
e
n
a
n
d
T
.
T
.
P
h
u
,
“
En
e
rg
y
H
a
rv
e
stin
g
A
ss
isted
C
o
g
n
it
iv
e
Ra
d
io
:
Ra
n
d
o
m
L
o
c
a
ti
o
n
-
b
a
se
d
T
ra
n
sc
e
iv
e
rs
S
c
h
e
m
e
a
n
d
P
e
rf
o
rm
a
n
c
e
A
n
a
l
y
si
s
,
”
T
e
lec
o
mm
u
n
ica
ti
o
n
S
y
ste
ms
,
v
o
l.
6
7
,
n
o
.
1
,
p
p
.
1
2
3
-
1
3
2
,
2
0
1
8
.
[4
]
Din
h
-
T
h
u
a
n
Do
,
“
E
n
e
rg
y
-
Aw
a
re
Tw
o
-
W
a
y
R
e
la
y
in
g
N
e
t
w
o
rk
s
u
n
d
e
r
Im
p
e
rf
e
c
t
Ha
rd
wa
re
:
Op
ti
m
a
l
T
h
ro
u
g
h
p
u
t
De
sig
n
a
n
d
A
n
a
l
y
sis
,
”
T
e
lec
o
mm
u
n
ica
ti
o
n
S
y
ste
ms
(
S
p
rin
g
e
r)
,
v
o
l.
6
2
,
n
o
.
2
,
p
p
.
4
4
9
-
4
5
9
,
2
0
1
5
.
[5
]
Din
h
T
h
u
a
n
Do
,
H.
S
.
Ng
u
y
e
n
,
“
A
T
ra
c
tab
le
A
p
p
ro
a
c
h
to
A
n
a
l
y
z
e
th
e
En
e
rg
y
-
Aw
a
re
Two
-
w
a
y
Re
la
y
in
g
Ne
t
w
o
rk
s
in
P
re
se
n
c
e
o
f
Co
-
c
h
a
n
n
e
l
I
n
terf
e
re
n
c
e
,
”
EURA
S
IP
J
o
u
rn
a
l
o
n
W
ire
les
s
Co
mm
u
n
ica
ti
o
n
s
a
n
d
Ne
two
rk
in
g
,
v
o
l.
2
0
1
6
,
n
o
.
2
7
1
,
p
p
.
1
-
1
0
,
2
0
1
6
.
[6
]
Q.
S
u
n
,
S
.
Ha
n
,
C.
L
.
I,
a
n
d
Z.
P
a
n
,
“
On
t
h
e
e
rg
o
d
ic
c
a
p
a
c
it
y
o
f
M
IM
O
NO
M
A
s
y
ste
m
s
,
”
IEE
E
W
ire
les
s
Co
mm
u
n
ica
ti
o
n
s
L
e
tt
e
rs
,
v
o
l.
4
,
n
o
.
4
,
p
p
.
4
0
5
-
4
0
8
,
2
0
1
5
.
[7
]
S
.
M
.
R.
Isla
m
,
N.
Av
a
z
o
v
,
O
.
A
.
Do
b
re
a
n
d
K.
K
w
a
k
,
“
P
o
w
e
r
-
Do
m
a
in
No
n
-
Orth
o
g
o
n
a
l
M
u
lt
ip
le
A
c
c
e
s
s
(NO
M
A
)
in
5
G
S
y
ste
m
s:
P
o
te
n
ti
a
ls
a
n
d
Ch
a
ll
e
n
g
e
s,”
IEE
E
Co
m
mu
n
ica
t
io
n
s
S
u
rv
e
y
s
&
T
u
to
ria
ls
,
v
o
l.
1
9
,
n
o
.
2
,
p
p
.
7
2
1
-
7
4
2
,
2
0
1
7
.
[8
]
Z.
Din
g
,
Z
.
Ya
n
g
,
P
.
F
a
n
,
a
n
d
H.
V
.
P
o
o
r
,
“
On
t
h
e
p
e
rf
o
rm
a
n
c
e
o
f
n
o
n
-
o
r
th
o
g
o
n
a
l
m
u
lt
ip
le
a
c
c
e
ss
in
5
G
s
y
ste
m
s
w
it
h
ra
n
d
o
m
l
y
d
e
p
lo
y
e
d
u
se
rs”
,
IEE
E
S
i
g
n
a
l
Pro
c
e
ss
in
g
L
e
tt
e
rs
,
v
o
l.
2
1
,
n
o
.
1
2
,
p
p
.
1
5
0
1
-
1
5
0
5
,
2
0
1
4
.
[9
]
M.
-
S
.
V
a
n
Ng
u
y
e
n
a
n
d
D
in
h
-
T
h
u
a
n
Do
,
“
Ev
a
lu
a
ti
o
n
S
e
c
re
c
y
P
e
rf
o
rm
a
n
c
e
o
f
Co
o
p
e
ra
ti
v
e
N
OMA
Ne
t
w
o
rk
s
u
n
d
e
r
Ex
is
ten
c
e
o
f
Re
la
y
L
in
k
a
n
d
Dire
c
t
L
in
k
,
”
I
n
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
mm
u
n
ica
ti
o
n
S
y
ste
m
s
,
v
o
l.
33
,
n
o
.
6
,
e4
2
8
4
,
2
0
1
9
.
[1
0
]
X
.
L
i
e
t
a
l.
,
“
A
Un
if
ied
F
ra
m
e
w
o
rk
f
o
r
HS
-
UA
V
NO
M
A
N
e
tw
o
rk
s
:
P
e
rf
o
r
m
a
n
c
e
A
n
a
l
y
sis
a
n
d
L
o
c
a
ti
o
n
Op
ti
m
iza
ti
o
n
,
”
IEE
E
Acc
e
ss
,
v
o
l.
8
,
p
p
.
1
3
3
2
9
-
1
3
3
4
0
,
2
0
2
0
.
[1
1
]
D.
T
.
Do
,
A
.
T
.
Le
a
n
d
C.
B.
L
e
,
“
Im
p
ro
v
in
g
S
p
e
c
tru
m
E
ff
icie
n
c
y
in
D2
D
-
A
ss
isted
Co
g
n
it
iv
e
Ra
d
io
Ne
tw
o
rk
s:
A
p
p
li
c
a
ti
o
n
o
f
NO
M
A
a
n
d
P
e
rf
o
r
m
a
n
c
e
A
n
a
l
y
sis,”
2
0
1
9
I
EE
E
9
0
th
Veh
ic
u
la
r
T
e
c
h
n
o
l
o
g
y
Co
n
fer
e
n
c
e
(
VT
C2
0
1
9
-
Fa
ll
)
,
Ho
n
o
l
u
l
u
,
HI,
U
S
A
,
p
p
.
1
-
5
,
2
0
1
9
.
[1
2
]
C.
B.
Le
a
n
d
D.
T
.
Do
,
“
Ou
tag
e
p
e
r
f
o
rm
a
n
c
e
o
f
b
a
c
k
sc
a
tt
e
r
N
OMA
r
e
la
y
in
g
s
y
ste
m
s
e
q
u
ip
p
i
n
g
w
it
h
m
u
lt
ip
le
a
n
ten
n
a
s,”
El
e
c
tro
n
ics
L
e
tt
e
rs
,
v
o
l.
5
5
,
n
o
.
1
9
,
p
p
.
1
0
6
6
-
1
0
6
7
,
2
0
1
9
.
[1
3
]
J.
W
a
n
g
,
Q.
P
e
n
g
,
Y.
Hu
a
n
g
,
H.
M
.
W
a
n
g
,
a
n
d
X
.
Y
o
u
.
“
C
o
n
v
e
x
it
y
o
f
w
e
i
g
h
ted
su
m
ra
te
m
a
x
i
m
iz
a
ti
o
n
i
n
NO
M
A
s
y
ste
m
s”
,
IEE
E
S
i
g
n
a
l
Pr
o
c
e
ss
in
g
L
e
tt
e
rs
,
v
o
l.
2
4
,
n
o
.
9
,
p
p
.
1
3
2
3
-
1
3
2
6
,
2
0
1
7
.
[1
4
]
Q.
Ya
n
g
,
H.
M
.
W
a
n
g
,
D.
W
.
K.
Ng
,
a
n
d
M
.
H.
L
e
e
,
“
NO
M
A
in
d
o
w
n
li
n
k
S
DMA
w
it
h
li
m
it
e
d
f
e
e
d
b
a
c
k
:
P
e
rf
o
rm
a
n
c
e
a
n
a
l
y
sis
a
n
d
o
p
ti
m
iza
ti
o
n
,
”
IE
EE
J
o
u
rn
a
l
o
n
S
e
lec
ted
Are
a
s
i
n
Co
mm
u
n
ica
ti
o
n
s
,
v
o
l.
3
5
,
n
o
.
1
0
,
p
p
.
2
2
8
1
-
2
2
9
4
,
2
0
1
7
.
[1
5
]
B.
He
,
A
.
L
iu
,
N.
Ya
n
g
,
a
n
d
V.
K.
N.
L
a
u
,
“
On
th
e
d
e
sig
n
o
f
se
c
u
re
n
o
n
o
rt
h
o
g
o
n
a
l
m
u
lt
ip
le
a
c
c
e
ss
s
y
st
e
m
s
,
”
IEE
E
J
o
u
rn
a
l
o
n
S
e
lec
ted
Are
a
s i
n
Co
mm
u
n
ica
t
io
n
s
,
v
o
l.
3
5
,
n
o
.
1
0
,
p
p
.
2
1
9
6
-
2
2
0
6
,
2
0
1
7
.
[1
6
]
Z.
Din
g
,
X
.
L
e
i,
G
.
K.
Ka
ra
g
ian
n
id
is,
R.
S
c
h
o
b
e
r,
J.
Yu
a
n
,
a
n
d
V
.
K.
Bh
a
rg
a
v
a
,
“
A
su
rv
e
y
o
n
n
o
n
-
o
rt
h
o
g
o
n
a
l
m
u
lt
ip
le
a
c
c
e
ss
f
o
r
5
G
n
e
t
w
o
rk
s:
Re
se
a
r
c
h
c
h
a
ll
e
n
g
e
s
a
n
d
f
u
tu
re
tren
d
s
,
”
IEE
E
J
o
u
rn
a
l
o
n
S
e
l
e
c
ted
Are
a
s
in
Co
mm
u
n
ica
ti
o
n
s
,
v
o
l
.
3
5
,
n
o
.
1
0
,
p
p
.
2
1
8
1
-
2
1
9
5
,
2
0
1
7
.
[1
7
]
Y.
L
iu
,
Z.
Qin
,
M
.
El
k
a
sh
lan
,
Y.
Ga
o
,
a
n
d
L
.
Ha
n
z
o
,
“
En
h
a
n
c
in
g
th
e
p
h
y
si
c
a
l
la
y
e
r
s
e
c
u
rit
y
o
f
non
-
o
rt
h
o
g
o
n
a
l
m
u
lt
ip
le
a
c
c
e
s
s
in
larg
e
-
s
c
a
le
n
e
tw
o
rk
s”
,
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
W
ire
les
s
Co
mm
u
n
ica
ti
o
n
s
,
v
o
l.
1
6
,
n
o
.
3
,
p
p
.
1
6
5
6
-
1
6
7
2
,
2
0
1
7
.
[1
8
]
Y.
Zh
a
n
g
,
H.
-
M
.
W
a
n
g
,
Q.
Ya
n
g
,
a
n
d
Z.
Di
n
g
,
“
S
e
c
re
c
y
su
m
ra
te
m
a
x
i
m
iz
a
ti
o
n
i
n
n
o
n
o
rt
h
o
g
o
n
a
l
m
u
lt
ip
le
a
c
c
e
ss
,
”
IEE
E
Co
mm
u
n
ica
t
io
n
s L
e
tt
e
rs
,
v
o
l.
2
0
,
n
o
.
5
,
p
p
.
9
3
0
-
9
3
3
,
2
0
1
6
.
[1
9
]
Z.
Ya
n
g
,
Z.
Din
g
,
P
.
F
a
n
,
a
n
d
N.
A
l
-
Dh
a
h
ir,
“
A
g
e
n
e
ra
l
p
o
w
e
r
a
ll
o
c
a
ti
o
n
sc
h
e
m
e
to
g
u
a
ra
n
tee
q
u
a
li
ty
o
f
se
rv
ice
in
d
o
w
n
li
n
k
a
n
d
u
p
l
in
k
NO
M
A
s
y
ste
m
s
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
W
ire
les
s
Co
mm
u
n
ica
t
io
n
s
,
v
o
l.
15
,
n
o
.
1
1
,
p
p
.
7
2
4
4
-
7
2
5
7
,
2
0
1
6
.
[2
0
]
D.
T
.
Do
,
M
.
V
a
e
z
i
a
n
d
T
.
L
.
Ng
u
y
e
n
,
“
W
irele
ss
P
o
w
e
re
d
Co
o
p
e
ra
ti
v
e
Re
la
y
in
g
u
sin
g
NO
M
A
w
it
h
I
m
p
e
rfe
c
t
CS
I,
”
Pro
c
.
o
f
IEE
E
Glo
b
e
c
o
m W
o
rk
sh
o
p
s (
GC W
k
sh
p
s)
,
A
b
u
Dh
a
b
i,
UA
E,
p
p
.
1
-
6
,
2
0
1
8
.
[2
1
]
D.
T
.
Do
a
n
d
A
.
T
.
L
e
,
“
NO
M
A
b
a
se
d
c
o
g
n
it
iv
e
re
la
y
in
g
:
T
ra
n
sc
e
iv
e
r
h
a
rd
w
a
r
e
im
p
a
ir
m
e
n
ts,
re
la
y
se
lec
ti
o
n
p
o
li
c
ies
a
n
d
o
u
tag
e
p
e
rf
o
rm
a
n
c
e
c
o
m
p
a
riso
n
,
”
Co
mp
u
ter
Co
mm
u
n
ica
ti
o
n
s
,
v
o
l.
1
4
6
,
p
p
.
1
4
4
-
1
5
4
,
2
0
1
9
.
[2
2
]
D.
T
.
Do
,
A
.
T
.
L
e
a
n
d
B.
M
.
L
e
e
,
“
On
P
e
rf
o
r
m
a
n
c
e
A
n
a
l
y
si
s
o
f
Un
d
e
rla
y
Co
g
n
it
iv
e
Ra
d
io
Aw
a
re
H
y
b
rid
OMA
/NOM
A
Ne
t
w
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