T
E
L
K
O
M
N
I
K
A
T
elec
o
m
m
un
ica
t
io
n,
Co
m
pu
t
ing
,
E
lect
ro
nics
a
nd
Co
ntr
o
l
Vo
l.
19
,
No
.
1
,
Feb
r
u
ar
y
2
0
2
1
,
p
p
.
2
0
6
~
2
1
2
I
SS
N:
1
6
9
3
-
6
9
3
0
,
ac
cr
ed
ited
First Gr
ad
e
b
y
Kem
en
r
is
tek
d
i
k
ti,
Dec
r
ee
No
: 2
1
/E/KPT
/2
0
1
8
DOI
: 1
0
.
1
2
9
2
8
/TE
L
KOM
NI
K
A.
v
1
9
i1
.
1
5
2
6
5
206
J
o
ur
na
l
ho
m
ep
a
g
e
:
h
ttp
:
//jo
u
r
n
a
l.u
a
d
.
a
c.
id
/in
d
ex
.
p
h
p
/TELK
OM
N
I
K
A
Lo
wer and upp
er
boun
d f
o
rm
f
o
r o
utag
e proba
bility
a
na
ly
sis
in t
wo
-
wa
y
of
ha
l
f
-
dupl
ex
relay
ing
network
under
i
mpa
ct
o
f
direc
t
link
P
hu
T
ra
n
T
in
1
,
Va
n
-
Duc
P
h
a
n
2
,
T
a
n N.
Ng
uy
en
3
1
F
a
c
u
lt
y
o
f
El
e
c
tro
n
ics
Tec
h
n
o
l
o
g
y
,
In
d
u
strial
U
n
iv
e
rsit
y
o
f
Ho
C
h
i
M
i
n
h
Cit
y
,
Ho
C
h
i
M
in
h
Cit
y
,
Vie
tn
a
m
2
F
a
c
u
lt
y
o
f
Au
to
m
o
b
il
e
Tec
h
n
o
l
o
g
y
,
Va
n
Lan
g
Un
i
v
e
rsity
,
Ho
C
h
i
M
in
h
Cit
y
,
Vie
tn
a
m
3
Wi
re
les
s Co
m
m
u
n
ica
ti
o
n
s Re
se
a
rc
h
G
ro
u
p
,
F
a
c
u
lt
y
o
f
El
e
c
tri
c
a
l
a
n
d
E
lec
tro
n
ics
E
n
g
i
n
e
e
rin
g
,
To
n
D
u
c
Th
a
n
g
U
n
iv
e
rsit
y
,
H
o
C
h
i
M
i
n
h
Cit
y
,
Vie
tn
a
m
Art
icle
I
nfo
AB
S
T
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
J
an
1
0
,
2
0
2
0
R
ev
is
ed
Au
g
2
,
2
0
2
0
Acc
ep
ted
Au
g
2
9
,
2
0
2
0
In
t
h
is
p
a
p
e
r,
t
h
e
sy
ste
m
p
e
rfo
r
m
a
n
c
e
o
f
th
e
two
-
wa
y
o
f
h
a
lf
-
d
u
p
lex
(HD
)
re
lay
in
g
n
e
two
r
k
u
n
d
e
r
t
h
e
imp
a
c
t
o
f
t
h
e
d
irec
t
li
n
k
is
stu
d
ied
.
Th
e
m
o
d
e
l
sy
ste
m
h
a
s
two
so
u
rc
e
s
(S
)
a
n
d
o
n
e
d
e
stin
a
ti
o
n
(D)
c
o
m
m
u
n
ica
te
b
y
d
irec
t
li
n
k
a
n
d
v
ia rela
y
(R).
F
o
r
sy
ste
m
p
e
rf
o
rm
a
n
c
e
a
n
a
ly
sis,
we
d
e
riv
e
d
t
h
e
lo
we
r
a
n
d
u
p
p
e
r
b
o
u
n
d
fo
r
o
u
tag
e
p
r
o
b
a
b
il
it
y
(O
P
).
F
u
rth
e
rm
o
re
,
t
h
e
a
n
a
ly
ti
c
a
l
e
x
p
re
ss
io
n
s
o
f
th
e
sy
ste
m
p
e
rfo
r
m
a
n
c
e
a
re
v
e
rifi
e
d
b
y
u
sin
g
t
h
e
M
o
n
te
Ca
rlo
sim
u
latio
n
i
n
t
h
e
e
ffe
c
t
o
f
m
a
in
p
a
ra
m
e
ters
.
As
sh
o
wn
in
th
e
re
su
lt
s,
we
c
a
n
th
e
sim
u
latio
n
a
n
d
a
n
a
l
y
ti
c
a
l
re
su
lt
s h
a
v
e
a
g
o
o
d
a
g
re
e
m
e
n
t.
K
ey
w
o
r
d
s
:
E
n
er
g
y
h
ar
v
esti
n
g
Half
-
d
u
p
lex
Ou
tag
e
p
r
o
b
ab
ilit
y
T
wo
-
way
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r
th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
T
an
N.
Ng
u
y
en
W
ir
eles
s
C
o
m
m
u
n
icatio
n
s
R
esear
ch
Gr
o
u
p
Facu
lty
o
f
E
lectr
ical
an
d
E
lectr
o
n
ics E
n
g
in
ee
r
in
g
T
o
n
Du
c
T
h
an
g
U
n
iv
er
s
ity
Ho
C
h
i M
in
h
C
ity
,
Vietn
am
E
m
ail:
n
g
u
y
e
n
n
h
attan
@
td
tu
.
e
d
u
.
v
n
1.
I
NT
RO
D
UCT
I
O
N
No
wad
ay
s
,
wir
eless
p
o
wer
e
d
co
m
m
u
n
icatio
n
n
etwo
r
k
(
W
PC
N)
is
th
e
b
est
s
o
lu
tio
n
f
o
r
o
v
er
co
m
in
g
th
e
lim
itatio
n
in
en
er
g
y
h
ar
v
esti
n
g
in
th
e
wir
eless
‐
p
o
wer
e
d
co
m
m
u
n
icatio
n
with
t
h
e
co
n
s
id
er
ab
le
d
e
m
an
d
en
er
g
y
in
e
n
er
g
y
‐
co
n
s
tr
ain
e
d
wir
eless
n
etwo
r
k
s
.
B
a
s
ed
o
n
th
e
f
ac
t
th
at
h
u
m
an
-
m
ad
e
r
a
d
io
f
r
eq
u
en
c
y
(
R
F)
ca
n
ca
r
r
y
b
o
th
e
n
er
g
y
an
d
in
f
o
r
m
atio
n
,
W
PC
N
is
co
n
s
id
er
ed
as
th
e
lead
in
g
s
o
lu
tio
n
f
o
r
at
o
u
r
tim
e
[
1
-
6
]
.
I
n
t
h
is
tim
e,
m
an
y
r
esear
c
h
ed
f
o
cu
s
o
n
th
e
ef
f
icien
c
y
o
f
th
e
W
PC
N
an
d
its
s
o
lu
tio
n
.
Au
th
o
r
s
in
[
7
]
s
tu
d
ied
th
e
o
u
tag
e
p
r
o
b
a
b
ilit
y
b
etwe
en
s
o
m
e
p
o
in
ts
b
ased
o
n
th
e
tr
ad
eo
f
f
f
u
n
d
a
m
en
tal
an
d
[
8
]
p
r
o
p
o
s
ed
an
d
d
esig
n
ed
th
e
p
r
ac
tical
r
ec
eiv
er
f
o
r
e
n
er
g
y
a
n
d
in
f
o
r
m
atio
n
tr
an
s
m
is
s
io
n
an
d
i
ts
ad
v
an
tag
es
f
o
r
th
e
co
m
m
u
n
icatio
n
n
etwo
r
k
.
Fu
r
th
er
m
o
r
e
,
au
th
o
r
s
in
[
9
]
p
r
esen
ted
an
d
d
em
o
n
s
tr
ated
th
e
p
r
ac
tical
en
e
r
g
y
h
ar
v
esti
n
g
co
m
m
u
n
icatio
n
n
etwo
r
k
,
a
n
d
[
1
0
]
p
r
o
p
o
s
ed
a
n
d
in
v
esti
g
ated
th
e
co
n
tin
u
o
u
s
en
er
g
y
an
d
p
o
wer
tr
an
s
m
is
s
io
n
in
t
h
e
co
g
n
itiv
e
r
elay
in
g
co
m
m
u
n
icatio
n
n
etw
o
r
k
.
Mo
r
eo
v
e
r
,
th
e
tim
e
s
witch
in
g
an
d
th
e
p
o
we
r
s
p
litt
in
g
p
r
o
to
co
ls
d
esig
n
f
o
r
th
e
co
m
m
u
n
icatio
n
n
etwo
r
k
an
d
th
e
co
m
p
ar
is
o
n
b
etwe
en
th
ese
p
r
o
to
co
ls
ar
e
p
r
o
p
o
s
e
d
an
d
in
v
esti
g
ated
in
[
1
1
-
1
5
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
Lo
w
er a
n
d
u
p
p
er b
o
u
n
d
fo
r
m
fo
r
o
u
ta
g
e
p
r
o
b
a
b
ilit
y
in
tw
o
-
w
a
y
o
f h
a
lf
-
d
u
p
lex.
.
.
(
P
h
u
Tr
a
n
Tin
)
207
I
n
th
is
p
ap
er
,
th
e
s
y
s
tem
p
er
f
o
r
m
an
ce
o
f
th
e
two
-
way
o
f
h
alf
-
d
u
p
lex
(
HD)
r
elay
in
g
n
etwo
r
k
u
n
d
er
t
h
e
im
p
ac
t
o
f
th
e
d
i
r
ec
t
lin
k
is
s
tu
d
ied
.
T
h
e
m
o
d
el
s
y
s
tem
h
as
two
s
o
u
r
ce
s
(
S
)
a
n
d
o
n
e
d
esti
n
atio
n
(
D)
c
o
m
m
u
n
icate
b
y
d
ir
ec
t
lin
k
a
n
d
v
ia
r
elay
(
R
)
.
Fo
r
s
y
s
tem
p
e
r
f
o
r
m
an
ce
a
n
aly
s
is
,
we
d
er
iv
ed
th
e
lo
wer
a
n
d
u
p
p
er
b
o
u
n
d
f
o
r
o
u
tag
e
p
r
o
b
ab
ilit
y
(
OP)
.
Fu
r
t
h
er
m
o
r
e
,
th
e
an
aly
tical
ex
p
r
e
s
s
io
n
s
o
f
th
e
s
y
s
tem
p
er
f
o
r
m
an
ce
ar
e
v
er
if
ied
b
y
u
s
i
n
g
th
e
Mo
n
te
C
ar
lo
s
im
u
latio
n
in
th
e
ef
f
ec
t
o
f
m
ain
p
ar
am
eter
s
.
As
s
h
o
wn
in
th
e
r
esu
lts
,
we
ca
n
th
e
s
im
u
latio
n
an
d
an
al
y
tical
r
esu
lts
h
av
e
a
g
o
o
d
ag
r
ee
m
en
t.
2.
SYST
E
M
M
O
D
E
L
I
n
th
is
s
ec
tio
n
,
Fig
u
r
e
1
p
r
o
p
o
s
ed
th
e
s
y
s
tem
m
o
d
el.
T
h
e
en
er
g
y
h
a
r
v
esti
n
g
(
E
H)
an
d
in
f
o
r
m
atio
n
tr
an
s
f
er
r
in
g
(
I
T
)
p
h
ases
ar
e
d
r
awn
in
Fig
u
r
e
2
[
1
6
-
2
0
]
.
T
h
e
en
er
g
y
h
a
r
v
esti
n
g
an
d
in
f
o
r
m
a
tio
n
tr
an
s
m
is
s
io
n
is
f
o
r
m
u
lated
as th
e
f
o
llo
win
g
s
.
Fig
u
r
e
1
.
Sy
s
tem
m
o
d
el
Fig
u
r
e
2
.
T
h
e
E
H
an
d
I
T
p
h
ases
2
.
1
.
E
nerg
y
ha
r
v
esting
pro
ce
s
s
T
h
e
r
ec
eiv
ed
s
ig
n
al
at
R
an
d
S
2
ar
e
;
1
,
=
ℎ
1
,
1
+
,
(
1
)
1
,
2
=
ℎ
1
,
2
1
+
2
T
h
e
h
ar
v
ested
en
er
g
y
at
R
is
;
ℎ
=
(
/
3
)
1
|
ℎ
1
,
|
2
(
2
)
wh
er
e
01
is
en
er
g
y
co
n
v
er
s
io
n
ef
f
icien
cy
an
d
01
is
th
e
p
o
wer
s
p
litt
in
g
f
ac
t
o
r
.
The
r
ec
ei
v
ed
s
ig
n
als
at
R
an
d
S
1
ar
e
;
2
,
=
ℎ
2
,
2
+
,
2
,
1
=
ℎ
2
,
1
2
+
1
(
3
)
wh
er
e
{
|
2
|
2
}
=
2
.
T
h
e
to
tal
h
ar
v
ested
e
n
er
g
y
at
R
is
;
ℎ
=
(
/
3
)
(
1
|
ℎ
1
,
|
2
+
2
|
ℎ
2
,
|
2
)
(
4
)
Fro
m
(
4
)
,
we
h
av
e
;
ℎ
=
(
/
3
)
(
1
|
ℎ
1
,
|
2
+
2
|
ℎ
2
,
|
2
)
=
(
/
3
)
(
|
ℎ
1
,
|
2
+
|
ℎ
2
,
|
2
)
(
5
)
wh
er
e
12
P
P
P
==
T
h
e
av
er
ag
e
t
r
an
s
m
it p
o
wer
at
R
is
;
=
ℎ
/
3
=
(
|
ℎ
1
,
|
2
+
|
ℎ
2
,
|
2
)
(
6
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6
9
3
0
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
,
Vo
l.
19
,
No
.
1
,
Feb
r
u
ar
y
2
0
2
1
:
2
0
6
-
2
1
2
208
2
.
2
.
I
nfo
r
m
a
t
io
n
t
ra
ns
m
is
s
i
o
n pha
s
e
T
h
e
r
ec
eiv
ed
s
ig
n
al
at
R
an
d
S
2
ca
n
b
e
ca
lcu
lated
as
;
1
,
=
√
1
−
ℎ
1
,
1
+
,
(
7
)
1
,
2
=
ℎ
1
,
2
1
+
2
T
h
e
r
ec
eiv
ed
s
ig
n
al
at
R
an
d
S
1
ar
e
;
2
,
=
√
1
−
ℎ
2
,
2
+
,
(
8
)
2
,
1
=
ℎ
2
,
1
2
+
1
T
h
e
r
ec
eiv
ed
s
ig
n
al
at
S
1
an
d
S
2
ca
n
b
e
f
o
r
m
u
lated
as
;
1
=
ℎ
,
1
+
1
,
(
9
)
2
=
ℎ
,
2
+
2
wh
er
e
2
RR
xP
=
.
I
n
AF p
r
o
to
c
o
l,
th
e
a
m
p
lify
in
g
c
o
ef
f
icien
t
ca
n
b
e
f
o
r
m
u
lated
as
;
=
=
√
(
1
−
)
[
1
|
ℎ
1
,
|
2
+
2
|
ℎ
2
,
|
2
]
+
0
=
√
(
1
−
)
[
|
ℎ
1
,
|
2
+
|
ℎ
2
,
|
2
]
+
0
(
1
0
)
Fro
m
(
9
)
,
th
e
r
ec
ei
v
ed
s
ig
n
al
a
t S
1
ca
n
b
e
r
ewr
itten
as
;
1
=
ℎ
,
1
+
1
=
ℎ
,
1
(
1
,
+
2
,
)
+
1
(
1
1
)
R
ep
lace
(
7
)
,
(
8
)
in
to
(
1
1
)
,
f
in
a
lly
we
h
av
e
;
1
=
ℎ
,
1
(
1
,
+
2
,
)
+
1
=
ℎ
,
1
[
√
1
−
ℎ
1
,
1
+
√
1
−
ℎ
2
,
2
+
+
]
+
1
(
1
2
)
=
ℎ
,
1
ℎ
1
,
√
1
−
1
+
ℎ
,
1
√
1
−
ℎ
2
,
2
⏟
+
ℎ
,
1
+
1
⏟
T
h
er
ef
o
r
e,
as sh
o
wn
in
(
1
2
)
ca
n
b
e
r
ewr
itten
as
;
1
=
ℎ
,
1
√
1
−
ℎ
2
,
2
⏟
+
ℎ
,
1
+
1
⏟
(
1
3
)
Fro
m
(
1
3
)
,
th
e
s
ig
n
al
t
o
n
o
is
e
r
atio
(
SNR
)
o
f
S
2
-
R
-
S
1
lin
k
ca
n
b
e
f
o
r
m
u
lated
as
;
2
,
1
=
[
|
|
2
]
[
|
|
2
]
=
|
ℎ
,
1
|
2
|
ℎ
2
,
|
2
2
2
(
1
−
)
|
ℎ
,
1
|
2
2
0
+
0
=
|
ℎ
,
1
|
2
|
ℎ
2
,
|
2
(
1
−
)
|
ℎ
,
1
|
2
0
+
0
2
(
1
4
)
Fro
m
(
1
0
)
an
d
(
1
4
)
,
we
h
av
e
;
2
,
1
≃
1
2
(
1
−
)
1
+
(
1
−
)
(
1
5
)
wh
er
e
=
2
0
=
0
,
1
=
|
ℎ
,
1
|
2
,
2
=
|
ℎ
2
,
|
2
.
Fro
m
(
8
)
t
h
e
r
ec
eiv
e
d
s
ig
n
al
at
D
is
2
,
1
=
2
|
ℎ
2
,
1
|
2
0
=
3
(
1
6
)
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
Lo
w
er a
n
d
u
p
p
er b
o
u
n
d
fo
r
m
fo
r
o
u
ta
g
e
p
r
o
b
a
b
ilit
y
in
tw
o
-
w
a
y
o
f h
a
lf
-
d
u
p
lex.
.
.
(
P
h
u
Tr
a
n
Tin
)
209
wh
er
e
2
3
2
,
1
h
=
.
Fin
ally
,
th
e
o
v
er
all
SN
R
at
S
1
is
;
=
2
,
1
+
2
,
1
=
1
2
(
1
−
)
1
+
(
1
−
)
+
3
=
+
(
1
7
)
wh
er
e
=
1
2
(
1
−
)
1
+
(
1
−
)
an
d
=
3
3.
O
UT
AG
E
P
RO
B
AB
I
L
I
T
Y
(
O
P
)
ANALYSI
S
3
.
1
.
E
x
a
ct
a
na
ly
s
is
T
h
e
OP o
f
th
e
s
y
s
tem
at
th
e
s
o
u
r
ce
S
1
ca
n
b
e
d
if
in
e
d
as
;
=
(
<
ℎ
)
=
(
+
<
ℎ
)
=
∫
(
ℎ
−
)
(
)
ℎ
0
(
1
8
)
w
h
er
e
th
is
th
e
p
r
ed
eter
m
in
e
d
t
h
r
esh
o
ld
o
f
th
e
s
y
s
tem
.
To
f
i
n
d
th
e
p
r
o
b
a
b
ilit
y
in
(
1
8
)
,
we
h
av
e
to
ca
lcu
late
th
e
cu
m
u
lativ
e
d
is
tr
ib
u
tio
n
f
u
n
ctio
n
(
C
DF)
o
f
X.
So
,
th
e
C
DF o
f
X
ca
n
b
e
f
o
u
n
d
as
;
(
)
=
(
<
)
=
(
1
2
(
1
−
)
1
+
(
1
−
)
<
)
=
[
2
<
(
1
+
(
1
−
)
)
1
(
1
−
)
]
=
[
2
<
(
1
−
)
+
1
]
(
1
9
)
=
∫
2
∞
0
[
(
(
1
−
)
+
)
|
1
=
]
×
1
(
)
=
1
−
1
[
−
2
(
1
−
)
]
∫
∞
∫
(
−
2
−
1
)
0
wh
er
e
12
,
ar
e
th
e
m
ea
n
o
f
r
an
d
o
m
v
ar
iab
les
(
R
Vs)
12
,
,
r
esp
ec
tiv
ely
.
Ap
p
ly
in
g
as
s
h
o
wn
in
(
3
.
3
2
4
,
1
)
o
f
[
r
ef
: ta
b
le
o
f
…]
,
i
n
(
1
9
)
ca
n
b
e
r
ef
o
r
m
u
lated
b
y
;
(
)
=
1
−
2
[
−
2
(
1
−
)
]
×
√
1
2
×
1
(
2
√
1
2
)
(
2
0
)
Su
b
s
titu
tin
g
(
2
0
)
in
to
(
1
8
)
,
we
ca
n
o
b
tain
;
=
1
−
(
−
ℎ
3
)
−
2
3
∫
[
−
(
ℎ
−
)
2
(
1
−
)
−
3
]
×
√
(
ℎ
−
)
1
2
×
1
(
2
√
(
ℎ
−
)
1
2
)
ℎ
0
(
2
1
)
wh
er
e
3
is
th
e
m
ea
n
o
f
R
V
3
3
.
2
.
L
o
wer
a
nd
up
per
bo
un
d a
na
ly
s
is
W
e
will
p
er
f
o
r
m
th
e
OP
o
f
th
e
s
y
s
tem
in
ter
m
s
o
f
lo
wer
an
d
u
p
p
er
b
o
u
n
d
f
o
r
m
.
Fro
m
(
1
7
)
,
we
ca
n
co
m
p
u
te
as
(
2
2
)
.
2
(
,
)
≤
+
≤
2
(
,
)
(
2
2
)
T
h
er
ef
o
r
e,
th
e
OP o
f
th
e
s
y
s
tem
in
lo
wer
b
o
u
n
d
f
o
r
m
ca
n
b
e
g
iv
en
b
y
;
=
[
(
,
)
<
ℎ
2
]
=
1
−
(
≥
ℎ
2
)
⏟
1
(
≥
ℎ
2
)
⏟
2
(
2
3
)
Fro
m
(
2
0
)
,
P
1
ca
n
b
e
ca
lcu
late
d
as
(
2
4
)
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6
9
3
0
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
,
Vo
l.
19
,
No
.
1
,
Feb
r
u
ar
y
2
0
2
1
:
2
0
6
-
2
1
2
210
1
=
1
−
(
<
ℎ
2
)
=
[
−
ℎ
2
2
(
1
−
)
]
×
√
2
ℎ
1
2
×
1
(
√
2
ℎ
1
2
)
(
2
4
)
Nex
t,
P
2
ca
n
b
e
f
o
u
n
d
as
;
2
=
1
−
(
<
ℎ
2
)
=
1
−
(
3
<
ℎ
2
)
(
2
5
)
=
1
−
(
3
<
ℎ
2
)
=
(
−
3
ℎ
2
)
Fro
m
(
2
4
)
,
(
2
5
)
a
n
d
(
2
3
)
,
we
h
av
e
;
=
1
−
[
−
ℎ
2
2
(
1
−
)
−
3
ℎ
2
]
×
√
2
ℎ
1
2
×
1
(
√
2
ℎ
1
2
)
(
2
6
)
Similar
as a
b
o
v
e,
th
e
u
p
p
er
b
o
u
n
d
OP o
f
s
y
s
tem
ca
n
b
e
c
o
m
p
u
ted
as
;
=
[
(
,
)
<
ℎ
2
]
=
(
<
ℎ
2
)
(
<
ℎ
2
)
(
2
7
)
=
{
1
−
[
−
ℎ
2
2
(
1
−
)
]
×
√
2
ℎ
1
2
×
1
(
√
2
ℎ
1
2
)
}
×
{
1
−
(
−
3
ℎ
2
)
}
4.
NUM
E
RIC
AL
R
E
SU
L
T
S A
ND
DIS
C
USS
I
O
N
T
h
e
s
y
s
tem
p
er
f
o
r
m
an
ce
o
f
th
e
m
o
d
el
s
y
s
tem
is
in
v
esti
g
ate
d
as
in
[
2
1
-
2
7
]
.
T
h
e
OP
as
a
f
u
n
ctio
n
o
f
th
e
en
er
g
y
co
ef
f
icien
t
η
is
d
r
awn
in
Fig
u
r
e
3
with
th
e
m
ain
s
y
s
tem
p
a
r
am
eter
s
as
ℎ
=
1
,
=
5
,
an
d
=
0
.
5
.
I
n
th
is
f
ig
u
r
e
,
we
co
n
s
id
er
e
d
t
h
e
ex
ac
t,
u
p
p
er
,
a
n
d
lo
wer
b
o
u
n
d
an
al
y
s
is
o
f
th
e
s
y
s
tem
OP.
T
h
e
r
esu
lts
s
h
o
w
th
at
th
e
s
y
s
tem
OP
d
e
cr
ea
s
e
with
th
e
in
cr
ea
s
in
g
o
f
th
e
en
er
g
y
c
o
ef
f
icien
t.
I
n
th
e
s
a
m
e
way
,
th
e
s
y
s
tem
Op
v
er
s
u
s
ℎ
is
illu
s
tr
ated
in
Fig
u
r
e
4
,
an
d
we
s
et
=
1
,
=
10
,
an
d
=
0
.
5
.
T
h
e
s
y
s
tem
OP
h
as
a
s
ig
n
if
ican
t
r
is
e
wh
ile
ℎ
v
ar
ies
f
r
o
m
0
t
o
6
as
s
h
o
wn
i
n
Fig
u
r
e
4
f
o
r
all
ca
s
es
with
lo
wer
an
d
u
p
p
er
b
o
u
n
d
.
Fro
m
Fig
u
r
es
3
an
d
4
,
th
e
s
im
u
latio
n
an
d
th
e
an
aly
tical
v
alu
es
ag
r
ee
well.
Mo
r
eo
v
er
,
th
e
s
y
s
tem
OP
v
er
s
u
s
ψ
an
d
ρ
ar
e
p
r
esen
ted
in
Fig
u
r
es
5
an
d
6
,
r
esp
ec
tiv
el
y
.
W
e
s
et
ℎ
=
1
,
=
1
,
an
d
−
0
.
85
f
o
r
Fig
u
r
e
4
,
=
5
f
o
r
Fig
u
r
e
5
,
r
esp
ec
tiv
ely
.
Fro
m
Fig
u
r
e
5
,
it
ca
n
b
e
s
tated
th
a
t
th
e
s
y
s
tem
OP
f
alls
wh
ile
ψ
r
i
s
es
f
r
o
m
-
5
d
B
to
1
5
d
B
.
T
h
e
s
y
s
tem
OP
h
as
a
s
lig
h
t
f
all
with
ρ
v
ar
ies
f
r
o
m
0
t
o
0
.
5
an
d
th
en
h
as
a
r
is
e
with
th
e
r
em
ain
in
g
v
a
l
u
e
s
o
f
ρ
.
T
h
e
m
a
x
i
m
u
m
v
a
lu
e
o
f
t
h
e
s
y
s
te
m
O
P
c
a
n
b
e
o
b
t
a
i
n
e
d
w
it
h
=
0
.
5
,
a
s
s
h
o
w
n
i
n
Fi
g
u
r
e
6
.
O
n
c
e
a
g
a
i
n
,
t
h
e
s
i
m
u
l
a
t
i
o
n
r
es
u
l
ts
h
av
e
a
n
a
g
r
e
e
m
e
n
t
w
it
h
t
h
e
m
a
t
h
e
m
a
t
i
c
al
,
a
n
a
l
y
ti
c
a
l
r
es
u
l
ts
,
as
in
F
i
g
ur
e
s
5
a
n
d
6
.
Fig
u
r
e
3
.
OP v
er
s
u
s
η
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
Lo
w
er a
n
d
u
p
p
er b
o
u
n
d
fo
r
m
fo
r
o
u
ta
g
e
p
r
o
b
a
b
ilit
y
in
tw
o
-
w
a
y
o
f h
a
lf
-
d
u
p
lex.
.
.
(
P
h
u
Tr
a
n
Tin
)
211
Fig
u
r
e
4
.
OP v
er
s
u
s
γ
th
Fig
u
r
e
5
.
O
P v
er
s
u
s
ψ
Fig
u
r
e
6
.
O
P v
er
s
u
s
ρ
5.
CO
NCLU
SI
O
N
I
n
th
is
p
ap
er
,
th
e
s
y
s
tem
p
er
f
o
r
m
an
ce
o
f
th
e
two
-
way
o
f
HD
r
elay
in
g
n
etwo
r
k
u
n
d
e
r
th
e
im
p
ac
t
o
f
th
e
d
ir
ec
t
lin
k
is
s
tu
d
ied
.
T
h
e
m
o
d
el
s
y
s
tem
h
as
two
S
an
d
o
n
e
D
co
m
m
u
n
icate
b
y
d
ir
ec
t
lin
k
an
d
v
ia
R
.
Fo
r
s
y
s
tem
p
er
f
o
r
m
an
ce
a
n
aly
s
is
,
we
d
er
i
v
ed
th
e
l
o
wer
an
d
u
p
p
er
b
o
u
n
d
f
o
r
OP.
Fu
r
th
er
m
o
r
e,
th
e
an
aly
tical
ex
p
r
ess
io
n
s
o
f
th
e
s
y
s
tem
p
er
f
o
r
m
an
ce
ar
e
v
er
if
ied
b
y
u
s
in
g
th
e
Mo
n
te
C
ar
lo
s
im
u
latio
n
in
th
e
ef
f
ec
t
o
f
m
ain
p
ar
am
eter
s
.
As s
h
o
wn
in
th
e
r
esu
lts
,
we
ca
n
t
h
e
s
im
u
latio
n
an
d
an
aly
tical
r
esu
lts
h
av
e
a
g
o
o
d
a
g
r
ee
m
en
t.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6
9
3
0
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
,
Vo
l.
19
,
No
.
1
,
Feb
r
u
ar
y
2
0
2
1
:
2
0
6
-
2
1
2
212
RE
F
E
R
E
NC
E
S
[1
]
S
u
z
h
i
Bi,
e
t
a
l
.,
“
Wi
re
les
s
p
o
we
re
d
c
o
m
m
u
n
ica
ti
o
n
:
O
p
p
o
rtu
n
it
ies
a
n
d
c
h
a
ll
e
n
g
e
s,”
IEE
E
Co
mm
u
n
ica
ti
o
n
M
a
g
a
zin
e
,
v
o
l.
5
3
,
n
o
.
4
,
p
p
.
1
1
7
-
1
2
5
,
Ap
ril
2
0
1
5
.
[2
]
Niy
a
to
D.,
Kim
D.
I.
,
M
a
so
M
.
,
Ha
n
Z.
,
“
Wi
re
les
s
p
o
we
re
d
c
o
m
m
u
n
ica
ti
o
n
n
e
two
rk
s:
re
se
a
rc
h
d
irec
ti
o
n
s
a
n
d
tec
h
n
o
l
o
g
ica
l
a
p
p
ro
a
c
h
e
s
,
”
IEE
E
W
ire
les
s Co
mm
u
n
ica
ti
o
n
s,
v
o
l.
2
4
,
n
o
.
6
,
p
p
.
88
-
97
,
J
u
ly
2
0
1
7
.
[3
]
He
e
ju
n
g
Y
.,
e
t
a
l
.
,
“
Wh
a
t
is
5
G
?
e
m
e
rg
in
g
5
G
m
o
b
il
e
se
rv
ice
s
a
n
d
n
e
two
rk
re
q
u
irem
e
n
ts
,
”
S
u
sta
i
n
a
b
il
i
ty,
v
o
l
.
9
,
n
o
.
1
0
,
p
p
.
1
-
2
2
,
Oc
t
o
b
e
r
2
0
1
7
.
[4
]
Xu
n
Zh
o
u
,
e
t
a
l
.,
“
Wi
re
les
s
in
fo
rm
a
ti
o
n
a
n
d
p
o
we
r
tran
sfe
r:
a
rc
h
it
e
c
tu
re
d
e
sig
n
a
n
d
ra
te
-
e
n
e
rg
y
t
ra
d
e
o
ff
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
Co
mm
u
n
ica
t
io
n
s,
v
o
l.
6
1
,
n
o
.
1
1
,
p
p
.
4
7
5
4
-
4
7
6
7
,
No
v
e
m
b
e
r
2
0
1
3
.
[5
]
Ng
u
y
e
n
N
.
T.
,
e
t
a
l
.
,
“
M
u
lt
i
-
s
o
u
rc
e
in
DF
c
o
o
p
e
ra
ti
v
e
n
e
tw
o
rk
s
with
t
h
e
P
S
R
p
ro
to
c
o
l
b
a
se
d
fu
ll
-
d
u
p
lex
e
n
e
rg
y
h
a
rv
e
stin
g
o
v
e
r
a
ra
y
leig
h
fa
d
in
g
c
h
a
n
n
e
l:
p
e
rfo
rm
a
n
c
e
a
n
a
l
y
sis
,
”
P
ro
c
e
e
d
in
g
s
o
f
th
e
Esto
n
ia
n
Aca
d
e
my
o
f
S
c
ien
c
e
s
,
v
o
l.
6
8
,
n
o
.
3
,
p
p
.
2
6
4
-
2
7
5
,
M
a
y
2
0
1
9
.
[6
]
Ng
u
y
e
n
N.
T
.
,
e
t
a
l
.
,
“
P
e
rfo
rm
a
n
c
e
a
n
a
ly
sis
o
f
a
u
se
r
se
le
c
ti
o
n
p
ro
t
o
c
o
l
in
c
o
o
p
e
ra
ti
v
e
n
e
two
rk
s
with
p
o
we
r
sp
li
tt
i
n
g
p
ro
t
o
c
o
l
-
b
a
se
d
e
n
e
rg
y
h
a
rv
e
sti
n
g
o
v
e
r
n
a
k
a
g
a
m
i
-
m
/ray
leig
h
c
h
a
n
n
e
ls
,
”
El
e
c
tro
n
ics
,
v
o
l.
8
,
p
p
.
1
-
1
4
,
Ap
ril
2
0
1
9
.
[
7
]
N
g
u
y
e
n
T
.
,
Q
u
a
n
g
M
i
n
h
T
.
,
T
r
a
n
P
.
,
V
o
z
ň
á
k
M
.
,
“
E
n
e
r
g
y
h
a
r
v
e
s
t
i
n
g
o
v
e
r
r
i
c
i
a
n
f
a
d
i
n
g
c
h
a
n
n
e
l
:
a
p
e
r
f
o
r
m
a
n
c
e
a
n
a
l
y
s
i
s
f
o
r
h
a
l
f
-
d
u
p
l
e
x
b
i
d
i
r
e
c
t
i
o
n
a
l
s
e
n
s
o
r
n
e
t
w
o
r
k
s
u
n
d
e
r
h
a
r
d
w
a
r
e
i
m
p
a
i
r
m
e
n
t
s
,
”
S
e
n
s
o
r
s
,
v
o
l
.
1
8
,
n
o
.
6
,
J
u
n
e
2
0
1
8
.
[8
]
Ng
u
y
e
n
Ta
n
N.,
e
t
a
l
.
,
“
P
e
rfo
rm
a
n
c
e
En
h
a
n
c
e
m
e
n
t
fo
r
e
n
e
rg
y
h
a
rv
e
stin
g
b
a
se
d
tw
o
-
wa
y
re
lay
p
ro
t
o
c
o
ls
in
wire
les
s
ad
-
h
o
c
n
e
two
rk
s wi
th
p
a
rti
a
l
a
n
d
fu
ll
re
lay
se
lec
ti
o
n
m
e
th
o
d
s
,
”
A
d
Ho
c
Ne
two
rk
s,
v
o
l.
8
4
,
p
p
.
1
7
8
-
8
7
,
M
a
rc
h
2
0
1
9
.
[9
]
Li
u
,
Ru
o
h
e
n
g
,
I
v
a
n
a
M
a
ric,
P
re
d
ra
g
S
p
a
so
jev
ic,
Ro
y
D.
Ya
tes
,
“
Disc
re
te
m
e
m
o
ry
les
s
in
terfe
re
n
c
e
a
n
d
b
ro
a
d
c
a
st
c
h
a
n
n
e
ls
with
c
o
n
fid
e
n
ti
a
l
m
e
ss
a
g
e
s:
se
c
re
c
y
ra
te
re
g
io
n
s
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
In
f
o
rm
a
ti
o
n
T
h
e
o
ry
,
v
o
l.
5
4
,
n
o
.
6
,
p
p
.
2
4
9
3
-
5
0
7
,
Ju
n
e
2
0
0
8
.
[1
0
]
P
.
K.
G
o
p
a
la,
L.
Lai
a
n
d
H.
El
G
a
m
a
l,
“
On
th
e
se
c
re
c
y
c
a
p
a
c
it
y
o
f
fa
d
in
g
c
h
a
n
n
e
ls
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
In
fo
rm
a
t
io
n
T
h
e
o
r
y
,
v
o
l.
5
4
,
n
o
.
1
0
,
p
p
.
4
6
8
7
-
4
6
9
8
,
Oc
t
o
b
e
r
2
0
0
8
.
[1
1
]
S
u
n
Li
Qin
g
h
e
Du
,
"
A
re
v
iew
o
f
p
h
y
sic
a
l
lay
e
r
se
c
u
rit
y
tec
h
n
i
q
u
e
s
fo
r
in
tern
e
t
o
f
th
i
n
g
s:
c
h
a
ll
e
n
g
e
s a
n
d
s
o
lu
t
io
n
s
,
"
En
tro
p
y
,
v
o
l.
2
0
,
n
o
.
1
0
,
p
p
.
1
-
2
1
,
S
e
p
tem
b
e
r
2
0
1
8
.
[1
2
]
Ku
h
e
sta
n
i
Ali,
Ab
b
a
s
M
o
h
a
m
m
a
d
i,
a
n
d
M
o
h
a
m
m
a
d
a
li
M
o
h
a
m
m
a
d
i,
“
Jo
in
t
re
lay
se
lec
ti
o
n
a
n
d
p
o
w
e
r
a
ll
o
c
a
ti
o
n
in
larg
e
-
sc
a
le
M
IM
O
sy
ste
m
s
with
u
n
tr
u
ste
d
re
lay
s
a
n
d
p
a
ss
iv
e
e
a
v
e
sd
ro
p
p
e
rs
,
"
IEE
E
T
r
a
n
sa
c
t
i
o
n
s
o
n
In
fo
rm
a
ti
o
n
Fo
re
n
sic
s a
n
d
S
e
c
u
rity
,
v
o
l.
1
3
,
n
o
.
2
,
p
p
.
3
4
1
-
3
5
5
,
F
e
b
r
u
a
ry
2
0
1
8
.
[1
3
]
Hu
Li
n
,
e
t
a
l.
,
“
Co
o
p
e
ra
ti
v
e
jam
m
in
g
f
o
r
p
h
y
sic
a
l
lay
e
r
se
c
u
rit
y
e
n
h
a
n
c
e
m
e
n
t
i
n
i
n
tern
e
t
o
f
th
i
n
g
s
,
”
IEE
E
I
n
ter
n
e
t
o
f
T
h
in
g
s J
o
u
rn
a
l,
v
o
l.
5
,
n
o
.
1
,
p
p
.
2
1
9
-
2
2
8
,
F
e
b
r
u
a
ry
2
0
1
8
.
[1
4
]
Ti
n
P
h
u
Tra
n
,
e
t
a
l
.,
“
S
e
c
re
c
y
p
e
rfo
rm
a
n
c
e
e
n
h
a
n
c
e
m
e
n
t
fo
r
u
n
d
e
rlay
c
o
g
n
it
i
v
e
ra
d
i
o
n
e
tw
o
rk
s
e
m
p
l
o
y
i
n
g
c
o
o
p
e
ra
ti
v
e
m
u
lt
i
-
h
o
p
tra
n
sm
issio
n
wi
th
a
n
d
with
o
u
t
p
re
se
n
c
e
o
f
h
a
rd
wa
re
imp
a
irme
n
ts
,
”
E
n
tro
p
y
,
v
o
l.
2
1
,
n
o
.
2
,
p
p
.
1
-
1
6
,
F
e
b
r
u
a
ry
2
0
1
9
.
[
1
5
]
Z
h
a
o
R
.
,
Y
u
a
n
Y
.
,
F
a
n
L
.
,
H
e
Y
.
C
.
,
“
S
e
c
r
e
c
y
p
e
r
f
o
r
m
a
n
c
e
a
n
a
l
y
s
i
s
o
f
c
o
g
n
i
t
i
v
e
d
e
c
o
d
e
-
a
n
d
-
f
o
r
w
a
r
d
r
e
l
a
y
n
e
t
w
o
r
k
s
i
n
n
a
k
a
g
a
m
i
-
m
f
a
d
i
n
g
c
h
a
n
n
e
l
s
,
”
I
E
E
E
T
r
a
n
s
a
c
t
i
o
n
s
o
n
C
o
m
m
u
n
i
c
a
t
i
o
n
s
,
v
o
l
.
6
5
,
n
o
.
2
,
p
p
.
5
4
9
-
5
6
3
,
Fe
b
r
u
a
r
y
2017.
[1
6
]
Ti
n
P
h
u
,
e
t
a
l
.,
“
S
e
c
re
c
y
p
e
rf
o
rm
a
n
c
e
o
f
TAS
/
S
C
-
b
a
se
d
m
u
lt
i
-
h
o
p
h
a
rv
e
st
-
to
-
tran
sm
it
c
o
g
n
it
iv
e
W
S
Ns
u
n
d
e
r
j
o
in
t
c
o
n
stra
in
t
o
f
i
n
terfe
re
n
c
e
a
n
d
h
a
r
d
wa
re
imp
e
rfe
c
ti
o
n
,
”
S
e
n
so
rs
,
v
o
l
.
1
9
,
n
o
.
5
,
p
p
.
1
-
2
0
,
M
a
rc
h
2
0
1
9
.
[1
7
]
Tran
Din
h
Hie
w,
e
t
a
l
.
,
“
P
e
rfo
r
m
a
n
c
e
e
n
h
a
n
c
e
m
e
n
t
fo
r
m
u
lt
i
-
h
o
p
h
a
r
v
e
st
-
to
-
tran
sm
it
WS
Ns
wit
h
p
a
th
-
se
lec
ti
o
n
m
e
th
o
d
s
i
n
p
re
se
n
c
e
o
f
e
a
v
e
sd
ro
p
p
e
rs
a
n
d
h
a
r
d
wa
re
n
o
ise
s
,
”
IEE
E
S
e
n
so
rs
J
o
u
r
n
a
l
,
v
o
l
1
8
,
n
o
.
1
2
,
p
p
.
5
1
7
3
-
5
1
8
6
,
Ap
ril
2
0
1
8
.
[
1
8
]
Va
n
-
Du
c
P
h
a
n
,
e
t
a
l
.
,
"
Ou
ta
g
e
p
r
o
b
a
b
i
li
ty
a
n
a
l
y
sis
o
f
d
u
a
l
e
n
e
rg
y
h
a
rv
e
sti
n
g
re
lay
n
e
tw
o
rk
o
v
e
r
r
a
y
leig
h
fa
d
i
n
g
c
h
a
n
n
e
l
u
si
n
g
S
C
a
n
d
M
RC
tec
h
n
i
q
u
e
,”
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
trica
l
En
g
i
n
e
e
rin
g
a
n
d
Co
m
p
u
ter
S
c
ien
c
e
,
v
o
l.
1
6
,
n
o
.
2
,
p
p
.
8
0
3
-
8
1
1
,
No
v
e
m
b
e
r
2
0
1
9
.
[
1
9
]
T
a
n
N
.
N
g
u
y
e
n
,
e
t
a
l
.
,
“
O
u
t
a
g
e
p
r
o
b
a
b
i
l
i
t
y
a
n
a
l
y
s
i
s
o
f
E
H
r
e
l
a
y
-
a
s
s
i
s
t
e
d
n
o
n
-
o
r
t
h
o
g
o
n
a
l
m
u
l
t
i
p
l
e
a
c
c
e
s
s
(
N
O
M
A
)
s
y
s
t
e
m
s
o
v
e
r
b
l
o
c
k
R
a
y
l
e
i
g
h
f
a
d
i
n
g
c
h
a
n
n
e
l
,
”
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
E
l
e
c
t
r
i
c
a
l
a
n
d
C
o
m
p
u
t
e
r
E
n
g
i
n
e
e
r
i
n
g
,
vol
.
9
,
n
o
.
5
,
pp.
3607
-
3
6
1
4
,
Oc
t
o
b
e
r
2019.
[
2
0
]
C
a
i
j
u
n
Z
h
o
n
g
,
e
t
a
l
.
,
"
W
i
r
e
l
e
s
s
i
n
f
o
r
m
a
t
i
o
n
a
n
d
p
o
w
e
r
t
r
a
n
s
f
e
r
w
i
t
h
f
u
l
l
d
u
p
l
e
x
r
e
l
a
y
i
n
g
,
”
I
E
E
E
T
r
a
n
s
a
c
t
i
o
n
s
o
n
C
o
m
m
u
n
i
c
a
t
i
o
n
s
,
v
o
l
.
2
,
n
o
.
1
0
,
p
p
.
3
4
4
7
-
34
6
1
,
O
c
t
o
b
e
r
2014.
[2
1
]
Ng
u
y
e
n
Tan
N.,
P
h
u
o
n
g
T
.
Tran
,
M
iro
sla
v
V
o
z
ň
á
k
,
“
P
o
we
r
sp
li
tt
i
n
g
-
b
a
se
d
e
n
e
rg
y
-
h
a
rv
e
stin
g
p
r
o
t
o
c
o
l
fo
r
wire
les
s
-
p
o
we
re
d
c
o
m
m
u
n
ica
ti
o
n
n
e
two
r
k
s
with
a
b
i
d
irec
ti
o
n
a
l
re
lay
,
”
I
n
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
mm
u
n
i
c
a
ti
o
n
S
y
ste
ms
,
v
o
l.
3
1
,
n
o
.
1
3
,
Ju
n
e
2
0
1
8
.
[2
2
]
Bh
a
tn
a
g
a
r
M
.
R.
,
“
On
t
h
e
c
a
p
a
c
it
y
o
f
d
e
c
o
d
e
-
a
n
d
-
f
o
rwa
rd
re
lay
in
g
o
v
e
r
ricia
n
fa
d
in
g
c
h
a
n
n
e
ls
,
”
IEE
E
Co
mm
u
n
ica
ti
o
n
s L
e
tt
e
rs
,
v
o
l.
1
7
,
n
o
.
6
,
p
p
.
1
1
0
0
-
11
0
3
,
J
u
n
e
2
0
1
3
.
[2
3
]
Da
n
iel
Zwil
li
n
g
e
r
,
“
Tab
le
o
f
I
n
te
g
ra
ls,
S
e
ries
,
a
n
d
P
r
o
d
u
c
ts,”
Aca
d
e
mic
Pre
ss
,
S
p
rin
g
e
r:
N
Y,
USA,
2
0
1
5
.
[2
4
]
Na
sir
A.
A.,
Z
h
o
u
X.,
Du
rra
n
i
S
.
,
Ke
n
n
e
d
y
R.
A.
,
“
Re
lay
in
g
p
ro
t
o
c
o
ls
fo
r
wire
les
s
e
n
e
rg
y
h
a
rv
e
sti
n
g
a
n
d
i
n
fo
rm
a
ti
o
n
p
ro
c
e
ss
in
g
,
”
I
EE
E
T
ra
n
s
a
c
ti
o
n
s o
n
W
ire
les
s Co
mm
u
n
ica
t
io
n
s
,
v
o
l.
1
2
,
n
o
.
7
,
p
p
.
3
6
2
2
-
3
6
3
6
,
Ju
l
y
2
0
1
3
.
[2
5
]
P
h
u
Tran
Ti
n
,
e
t
a
l
.
,
“
E
x
p
l
o
it
i
n
g
d
irec
t
li
n
k
in
two
-
wa
y
h
a
lf
-
d
u
p
lex
se
n
s
o
r
n
e
two
rk
o
v
e
r
b
lo
c
k
ra
y
leig
h
fa
d
i
n
g
c
h
a
n
n
e
l:
u
p
p
e
r
b
o
u
n
d
e
r
g
o
d
ic ca
p
a
c
it
y
a
n
d
e
x
a
c
t
S
ER
a
n
a
l
y
sis
,”
S
e
n
so
rs
,
v
o
l.
2
0
,
n
o
.
4
,
2
0
2
0
.
[2
6
]
P
h
u
Tran
T
in
,
e
t
a
l
.
,
“
En
e
rg
y
h
a
r
v
e
stin
g
h
a
lf
-
d
u
p
lex
a
f
p
o
we
r
sp
li
t
ti
n
g
p
ro
t
o
c
o
l
re
lay
n
e
two
r
k
o
v
e
r
ricia
n
c
h
a
n
n
e
l
in
c
a
se
o
f
m
a
x
imiz
in
g
c
a
p
a
c
it
y
,”
T
EL
KOM
NIKA
T
e
lec
o
mm
u
n
ica
t
io
n
Co
mp
u
ti
n
g
El
e
c
tro
n
ics
a
n
d
C
o
n
tro
l
,
v
o
l.
1
7
,
n
o.
4
,
p
p
.
1
6
1
5
-
1
6
2
4
,
A
u
g
u
st
2
0
1
9
.
[2
7
]
P
h
u
Tran
Ti
n
,
e
t
a
l
.,
“
E
x
p
l
o
it
i
n
g
d
irec
t
li
n
k
in
two
-
wa
y
h
a
lf
-
d
u
p
lex
se
n
s
o
r
n
e
two
rk
o
v
e
r
b
lo
c
k
ra
y
leig
h
fa
d
i
n
g
c
h
a
n
n
e
l:
u
p
p
e
r
b
o
u
n
d
e
r
g
o
d
ic ca
p
a
c
it
y
a
n
d
e
x
a
c
t
S
ER
a
n
a
l
y
sis
,
”
S
e
n
so
rs
,
v
o
l.
2
0
,
n
o
.
4
,
2
0
2
0
.
Evaluation Warning : The document was created with Spire.PDF for Python.