T
E
L
KO
M
NIK
A
, V
ol
.
17
,
No.
6,
Dec
em
be
r
20
1
9,
p
p.
2
69
7
~
2
70
3
IS
S
N: 1
69
3
-
6
93
0
,
accr
ed
ited
F
irst
Gr
ad
e b
y K
em
en
r
istekdikti,
Decr
ee
No: 2
1/E/
K
P
T
/20
18
DOI:
10.12928/TE
LK
OM
N
IK
A
.v
1
7
i
6
.
12218
◼
26
97
Rec
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ary
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d
N
O
M
A
rela
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y
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t
em
s:
t
w
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SIC mod
es
and
perfo
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ma
nc
e e
v
alua
tio
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Din
h
-
T
h
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an Do
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1
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-
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o
Le
2
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Nh
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Ng
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en
3
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am Ng
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n
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4
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S
i
-
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h
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Le
5
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Ng
o
c
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t
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T
ien Ng
u
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n
7
, M
ir
o
sla
v
V
o
z
n
ak
8
1
W
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s
s
Co
m
m
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ti
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R
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Grou
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Du
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Ho
Ch
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Ci
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a
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Un
i
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f
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o
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i
M
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Ci
ty
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Vi
e
tn
a
m
3
,4
,5
,6
,7
,
8
Fa
c
u
l
ty
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f
El
e
c
tri
c
a
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p
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VSB
-
T
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h
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c
a
l
Un
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f
Os
tra
v
a
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e
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h
Re
p
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b
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c
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o
rre
s
p
o
n
d
i
n
g
a
u
th
o
r,
e
-
m
a
i
l
:
d
o
d
i
n
h
th
u
a
n
@t
d
tu
.e
d
u
.v
n
Ab
strac
t
In
th
i
s
s
t
u
d
y
,
we
d
e
p
l
o
y
d
e
s
i
g
n
a
n
d
p
e
rfo
rm
a
n
c
e
a
n
a
l
y
s
i
s
i
n
n
e
w
s
y
s
te
m
m
o
d
e
l
u
s
i
n
g
a
re
l
a
y
i
n
g
m
o
d
e
l
,
e
n
e
rg
y
h
a
rv
e
s
t
i
n
g
,
a
n
d
n
o
n
-
o
rth
o
g
o
n
a
l
m
u
l
ti
-
a
c
c
e
s
s
(
NO
M
A)
n
e
two
rk
.
It
i
s
c
a
l
l
e
d
s
u
c
h
t
o
p
o
l
o
g
y
a
s
wir
e
l
e
s
s
p
o
w
e
re
d
NO
M
A
re
l
a
y
i
n
g
(
W
PNR
).
I
n
th
e
p
ro
p
o
s
e
d
m
o
d
e
l
,
NO
M
A
wil
l
b
e
i
n
v
e
s
ti
g
a
te
d
i
n
two
c
a
s
e
s
i
n
c
l
u
d
i
n
g
s
i
n
g
l
e
s
u
c
c
e
s
s
i
v
e
i
n
te
rf
e
re
n
c
e
c
a
n
c
e
l
l
a
t
i
o
n
(SIC)
a
n
d
d
u
a
l
SIC.
M
o
re
o
v
e
r
,
th
e
s
i
m
u
l
t
a
n
e
o
u
s
w
i
re
l
e
s
s
i
n
f
o
rm
a
ti
o
n
a
n
d
p
o
wer
tra
n
s
fe
r
(
SW
IPT
)
te
c
h
n
o
l
o
g
y
c
a
n
b
e
e
m
p
l
o
y
e
d
to
fe
e
d
e
n
e
rg
y
to
re
l
a
y
s
who
i
n
te
n
d
t
o
s
e
rv
e
fa
r
NO
M
A
u
s
e
rs
.
In
p
a
rti
c
u
l
a
r,
e
x
a
c
t
o
u
ta
g
e
p
ro
b
a
b
i
l
i
t
y
e
x
p
re
s
s
i
o
n
s
a
re
p
ro
v
i
d
e
d
to
p
e
rfo
rm
a
n
c
e
e
v
a
l
u
a
ti
o
n
.
T
h
e
re
s
u
l
t
s
fro
m
th
e
s
i
m
u
l
a
ti
o
n
s
a
re
u
s
e
d
to
d
e
m
o
n
s
tra
te
th
e
o
u
t
a
g
e
p
e
rfo
rm
a
n
c
e
o
f
th
e
p
ro
p
o
s
e
d
m
o
d
e
l
i
n
c
o
m
p
a
r
i
s
o
n
wit
h
th
e
c
u
rr
e
n
t
m
o
d
e
l
s
a
n
d
t
o
v
e
r
i
fy
c
o
rre
c
t
o
f
d
e
r
i
v
e
d
e
x
p
re
s
s
i
o
n
s
.
Key
w
ords
:
e
n
e
rg
y
h
a
r
v
e
s
ti
n
g
,
non
-
o
r
th
o
g
o
n
a
l
m
u
l
ti
p
l
e
a
c
c
e
s
s
,
o
u
ta
g
e
p
ro
b
a
b
i
l
i
t
y
Copy
righ
t
©
2
0
1
9
Uni
v
e
rsi
t
a
s
Ahm
a
d
D
a
hl
a
n.
All
rig
ht
s
r
e
s
e
rve
d
.
1.
Int
r
o
d
u
ctio
n
T
he
f
i
f
th
ge
ne
r
at
i
on
(
5G
)
of
m
ob
i
l
e
c
om
m
un
i
c
ati
on
n
et
w
ork
s
i
s
c
on
s
i
de
r
ed
as
a
pro
gres
s
i
v
e
f
orm
of
the
f
ou
r
th
ge
ne
r
at
i
on
(
4G
)
ne
t
wor
k
s
wi
th
m
an
y
tr
em
en
do
u
s
f
un
c
ti
on
s
l
i
k
e
i
nte
r
n
et
-
of
-
thi
n
g
(
IoT
)
an
d
c
l
ou
d
-
b
as
ed
a
pp
l
i
c
at
i
o
ns
i
n
[1,
2]
.
T
he
s
e
m
od
ern
s
erv
i
c
es
l
ea
d
to
c
ha
l
l
en
g
i
n
g
r
eq
ui
r
em
en
ts
s
uc
h
as
f
as
ter
da
t
a
r
at
es
,
l
o
w
er
s
us
pe
ns
i
o
n,
wi
de
r
c
o
nn
ec
ti
v
i
t
y
an
d
be
tte
r
s
pe
c
tr
a
l
an
d
en
erg
y
i
m
pa
c
t.
Cons
eq
ue
ntl
y
,
i
n
o
r
de
r
to
m
ee
t
the
s
e
de
m
an
ds
,
a
r
an
ge
of
m
od
ern
tec
hn
i
qu
es
us
e
d
a
s
a
ne
w
tec
hn
ol
og
i
c
al
t
oo
l
to
ac
c
es
s
N
O
MA
m
a
y
be
a
v
er
y
p
ote
n
ti
a
l
s
el
ec
ti
on
f
or
the
5G
ne
t
wor
k
s
i
nc
e
i
t
c
om
pl
i
es
w
i
t
h
al
l
t
he
s
pe
c
i
f
i
c
ati
o
ns
f
or
s
pe
c
tr
al
i
m
pa
c
t,
m
a
s
s
i
v
e
c
o
nn
ec
t
i
v
i
t
y
,
us
er
f
ai
r
ne
s
s
an
d
l
o
w
s
us
pe
ns
i
o
n
as
m
en
ti
on
e
d
i
n
[3]
.
O
n
t
he
oth
er
h
an
d,
when
NO
MA
ut
i
l
i
z
es
the
e
ne
r
g
y
do
m
ai
n,
m
an
y
di
f
f
erent
us
ers
w
i
l
l
b
e
ac
c
es
s
ed
at
the
s
am
e
ti
m
e,
i
n
term
s
of
f
r
eq
ue
nc
y
,
ti
m
e
an
d
c
o
de
ac
c
ordi
ng
t
o
th
ei
r
o
wn
c
h
an
n
el
c
on
d
i
t
i
on
s
.
W
he
r
ea
s
hi
g
h
po
w
er
trans
m
i
s
s
i
on
r
at
es
w
i
l
l
b
e s
e
l
ec
te
d f
or
us
ers
wi
t
h p
oo
r
c
ha
n
ne
l
c
o
nd
i
ti
on
s
,
us
ers
w
i
t
h
be
tte
r
c
ha
n
ne
l
c
on
di
t
i
on
s
c
an
us
e
l
o
wer
p
o
w
er
l
e
v
e
l
s
.
A
s
a
r
es
u
l
t,
NO
M
A
r
e
qu
i
r
es
m
ul
ti
pl
e
c
o
m
m
un
i
c
ati
on
no
t
es
at
t
h
e
ba
s
e
s
ta
ti
o
n
s
up
erpos
i
t
i
o
n
f
or
r
ec
ei
v
ers
us
i
ng
s
u
pe
r
po
s
i
t
i
on
c
o
di
ng
(
S
C)
tec
h
ni
qu
e.
W
i
th
S
IC
t
ec
hn
o
l
og
y
,
NO
M
A
us
ers
e
l
i
m
i
na
te
al
l
weak
er
on
es
’
c
om
m
un
i
c
a
ti
on
no
tes
an
d
c
on
s
i
d
er
the
s
tr
o
ng
er
us
ers
’
no
t
es
as
an
i
nt
erv
en
ti
o
n
to
de
c
i
ph
er
the
o
wn
no
te
i
n
[4]
.
T
he
ac
ti
v
e
s
tr
on
g
us
ers
(
S
U)
c
an
em
pl
o
y
th
e
w
e
a
k
er
us
ers
'
(
W
U
)
no
tes
to
tr
an
s
f
er
W
U’
s
no
tes
a
nd
i
nc
r
ea
s
e
the
n
et
w
ork
s
ec
urit
y
w
h
i
c
h
are
c
on
s
i
de
r
ed
as
t
he
c
o
l
l
ab
orati
v
e
NO
MA
m
od
el
s
i
n [
5,
6]
.
I
n
r
e
c
en
t
ti
m
e
s
,
S
W
I
P
T
h
a
s
be
en
s
u
gg
e
s
te
d
a
s
a
p
ot
e
nt
i
al
t
e
c
hn
i
qu
e
th
at
c
a
n
e
x
t
en
d
t
h
e
w
o
r
k
i
ng
ti
m
e
o
f
s
o
m
e
d
ev
i
c
e
s
s
u
c
h
a
s
en
e
r
g
y
-
l
i
m
i
t
e
d
de
v
i
c
e
s
,
en
e
r
g
y
-
l
i
m
i
t
e
d
s
en
s
o
r
s
,
I
o
T
d
ev
i
c
e
s
,
e
t
c
.
S
W
I
P
T
c
a
n
e
nd
u
r
e t
e
r
m
i
n
al
s
w
i
th
t
r
a
di
ti
on
a
l
w
i
r
e
s
a
nd
c
on
s
i
de
r
a
bl
y
ex
p
a
nd
i
t
s
s
p
a
r
e
t
i
m
e
.
F
o
r
t
ha
t
r
e
a
s
o
n
,
S
W
I
P
T
i
s
c
on
s
i
d
e
r
e
d
a
fav
o
r
a
bl
e
t
e
c
h
ni
qu
e
fo
r
en
e
r
gy
l
i
m
i
te
d
n
etw
o
r
k
s
.
I
n
m
o
s
t
r
e
c
en
t
s
t
ud
i
e
s
,
S
W
I
P
T
i
n
i
n
fo
r
m
a
t
i
on
s
y
s
te
m
s
ha
s
i
m
p
l
e
m
e
n
te
d
i
n
c
e
nt
r
a
l
i
z
ed
a
nt
en
na
s
y
s
t
e
m
s
(
C
A
S
)
.
T
h
e
r
e
ha
s
b
ee
n
c
on
c
en
t
r
at
i
o
n
o
n
e
x
t
r
a
c
t
i
n
g
t
he
m
a
x
i
m
u
m
b
e
a
m
-
fo
r
m
i
n
g
en
e
r
g
y
s
p
l
i
t
ti
n
g
S
W
I
P
T
t
o
t
a
k
e
a
dv
an
ta
ge
o
f
fo
c
u
s
i
ng
on
a
r
e
m
o
t
e
fi
el
d
el
e
c
t
r
o
m
a
g
n
et
i
c
r
a
di
a
ti
o
n
a
s
r
e
g
a
r
d
s
i
n
[7
–
10
]
.
B
y
c
o
m
b
i
n
i
n
g
r
e
l
a
y
i
ng
ne
tw
o
r
k
w
i
th
NO
M
A
,
c
oo
pe
r
a
t
i
v
e N
O
MA
ha
s
w
el
l
s
t
ud
i
ed
Evaluation Warning : The document was created with Spire.PDF for Python.
◼
IS
S
N: 16
93
-
6
93
0
T
E
L
KO
M
NIK
A
V
ol
.
17
,
No
.
6,
D
ec
em
be
r
20
19
:
26
9
7
-
2703
2698
i
n
[1
1
–
15
].
I
n
[1
3]
,
th
e
au
tho
r
s
c
o
m
b
i
n
e
S
W
I
P
T
w
i
t
h
NO
M
A
n
e
tw
o
r
k
fo
r
e
x
i
s
t
i
n
g
S
U
s
to
t
r
an
s
m
i
t
W
U
s
n
o
t
e
s
be
c
a
u
s
e
th
e
r
e
i
s
n
o
ne
c
e
s
s
i
t
y
to
u
s
e
e
ne
r
gy
fo
r
t
hi
s
c
oo
pe
r
at
i
o
n.
I
n
t
he
m
e
a
n
ti
m
e
,
i
n
o
r
d
e
r
t
o
i
n
c
r
ea
s
e
th
e
i
n
di
v
i
du
al
da
ta
r
a
t
e,
th
e
w
i
r
e
l
e
s
s
po
w
e
r
e
d
c
o
mm
u
n
i
c
a
ti
o
n
n
etw
o
r
k
s
(
W
P
C
N
)
t
e
c
hn
ol
og
y
w
a
s
c
o
m
b
i
n
ed
w
i
th
N
O
M
A
u
pl
i
n
k
n
e
tw
o
r
k
[
1
4]
.
O
n
t
he
o
th
e
r
h
an
d
,
i
n
[
1
5]
,
N
O
MA
i
s
e
x
a
m
i
n
ed
i
n
t
e
r
m
o
f e
n
e
r
gy
e
ffe
c
t
s
i
n
W
P
C
s
y
s
te
m
s
.
A
dd
i
t
i
o
na
l
l
y
,
i
n
[
16
]
,
th
e
d
ow
nl
i
n
k
o
f N
O
M
A
i
s
r
e
s
e
a
r
c
h
ed
t
og
e
t
he
r
w
i
th
S
W
I
P
T
(
r
a
t
h
e
r
th
an
W
P
C
)
.
N
ev
e
r
th
el
e
s
s
,
S
W
I
P
T
i
s
o
nl
y
ad
j
u
s
t
ed
by
c
l
o
s
e
u
s
e
r
s
a
nd
r
e
m
o
t
e
u
s
e
r
s
a
r
e
ov
e
r
w
h
el
m
e
d
.
I
t
i
s
s
h
ow
n
t
ha
t
on
-
o
ff
p
ow
e
r
s
pl
i
t
ti
ng
(
O
P
S
)
a
s
a
s
pe
c
i
al
c
a
s
e
o
f
dy
na
m
i
c
po
w
e
r
s
pl
i
t
ti
ng
(
DP
S
)
w
h
i
c
h
c
a
n
ob
t
ai
n
the
m
a
x
i
m
u
m
r
a
te
a
r
ea
i
n
s
u
c
h
d
e
s
i
gn
.
T
h
e
r
e
fo
r
e
,
t
he
ou
tag
e
p
r
ob
ab
i
l
i
t
y
an
d
t
he
d
i
v
e
r
s
i
t
y
de
g
r
e
e
a
r
e
e
x
t
r
a
c
t
ed
for
t
h
e
d
ow
nl
i
n
k
c
o
o
pe
r
at
i
v
e
N
O
MA
w
he
r
e
S
W
I
P
T
i
s
o
nl
y
d
ep
l
o
y
ed
a
t
ad
j
a
c
en
t
u
s
e
r
s
a
nd
t
he
s
ta
ti
c
p
ow
e
r
s
pl
i
t
ti
ng
(
S
P
S
)
a
s
a
s
pe
c
i
fi
c
s
i
tu
at
i
on
o
f
O
P
S
.
I
n
[1
7]
,
N
O
M
A
s
e
c
u
r
i
t
y
i
s
e
x
pl
o
r
e
d
a
t
te
nt
i
v
e
l
y
.
I
n
p
a
r
ti
c
ul
a
r
,
a
n
a
r
ti
fi
c
i
a
l
no
i
s
e
-
ai
de
d
be
a
m
-
fo
r
m
i
n
g
d
e
s
i
gn
i
s
s
ue
i
s
i
nv
e
s
ti
ga
te
d
t
o
p
r
ov
i
de
the
hi
gh
s
e
c
u
r
i
t
y
l
ev
e
l
o
f
a
m
u
l
t
i
pl
e
-
i
n
pu
t
s
i
n
gl
e
-
o
u
tp
ut
N
O
M
A
S
W
I
P
T
n
e
t
w
o
r
k
.
E
H
m
o
d
e
fa
c
i
l
i
t
at
e
s
NO
M
A
n
etw
o
r
k
w
i
th
e
x
t
en
de
d
t
i
m
e
o
f
op
e
r
a
ti
on
a
s
l
i
m
i
t
ed
po
w
e
r
a
s
r
e
c
en
t
w
o
r
k
[
1
8,
19
].
F
u
r
t
he
r
m
o
r
e
,
N
O
MA
s
c
h
e
m
e
c
an
b
e
ap
pl
i
e
d
i
n
de
v
i
c
e
-
to
-
d
ev
i
c
e
t
r
a
ns
m
i
s
s
i
o
n,
c
o
gn
i
ti
v
e
r
a
di
o
o
r
ph
y
s
i
c
al
l
a
y
e
r
s
e
c
u
r
i
ty
-
aw
a
r
e
ne
tw
o
r
k
[
2
0
–
2
4
].
T
he
r
es
t
of
thi
s
p
ap
er
i
s
arr
an
ge
d
as
f
ol
l
o
w
s
.
T
he
m
od
el
s
y
s
t
em
i
s
de
m
on
s
tr
ate
d
i
n
s
ec
ti
on
1
.
S
ec
t
i
on
3
i
ntrodu
c
es
th
e
en
t
i
r
e
d
o
w
n
l
i
nk
tr
an
s
m
i
s
s
i
on
of
ou
tag
e
proba
bi
l
i
t
y
.
T
he
s
i
m
ul
ati
on
r
es
u
l
ts
are
pres
en
te
d i
n
s
ec
ti
on
4
. A
f
te
r
al
l
,
c
on
c
l
us
i
on
i
s
ta
k
en
i
n
s
ec
ti
on
5
.
2.
S
ys
t
em M
o
d
el
W
e
ex
a
m
i
ne
a
wi
r
e
l
es
s
c
om
m
un
i
c
ati
on
s
y
s
tem
as
i
n
F
i
g
ure
1,
wi
th
a
b
as
e
s
tat
i
o
n
i
nd
i
c
ate
d
b
y
B
S
(
as
s
i
g
ne
d
c
ap
ab
i
l
i
t
y
of
wi
r
el
es
s
po
we
r
tr
an
s
f
er)
,
two
r
e
l
a
y
s
i
nd
i
c
ate
d
b
y
R
1
a
nd
R
2
w
h
i
c
h
c
an
be
ap
proac
h
e
d
b
y
us
i
n
g
NO
MA
a
nd
t
w
o
r
em
ote
us
ers
i
n
di
c
at
ed
b
y
U
1
a
nd
U
2
.
It
i
s
n
ote
d
th
at
R
1
an
d
R
2
ar
e
l
o
c
ate
d
i
n
t
he
c
o
v
era
ge
ar
ea
of
w
i
r
e
l
es
s
p
o
w
er
tr
a
ns
f
er.
It
i
s
s
up
po
s
ed
tha
t
n
on
-
ex
i
s
t
en
c
e
of
di
r
ec
t
l
i
nk
f
r
o
m
B
S
wi
th
U
1
a
nd
U
2
an
d
t
hu
s
w
e
ne
ed
t
wo
r
el
a
y
s
to
tr
an
s
f
er
to
the
U
1
a
nd
U
2
us
ers
.
T
he
s
e
r
el
a
y
s
ar
e
s
el
f
-
po
w
ered
d
ev
i
c
es
t
ha
nk
s
t
o
E
H
(
en
erg
y
ha
r
v
es
t
i
n
g).
It
c
an
be
f
ou
nd
t
ha
t
s
y
m
bo
l
a
pp
e
ars
i
n
th
e
b
as
eb
an
d
w
h
ereas
E
H
ap
p
ea
r
s
i
n
RF
ba
nd
.
T
he
s
ep
arat
ed
Ra
y
l
e
i
gh
c
ha
nn
e
l
f
ac
tor
be
t
w
ee
n
S
an
d
R
1
a
nd
R
2
i
s
h
R
1
a
nd
h
U
2
.
A
t
the
s
am
e
ti
m
e,
be
tw
e
e
n
R
1
a
nd
U
1
a
nd
R
2
and
U
2
a
r
e
h
U
1
and
h
U
2
,
r
es
pe
c
ti
v
el
y
.
T
w
o
S
IC
m
od
es
are
de
pl
o
y
e
d
h
ere.
Dual
S
IC
i
s
r
eq
u
i
r
ed
at
l
i
n
k
B
S
-
R
1
-
U
1
w
hi
l
e
s
i
ng
l
e
S
IC
as
s
i
gn
e
d
at
l
i
nk
BS
-
R
2
-
U
2
.
Ba
s
e
S
t
a
t
i
on
(
BS
)
Re
l
a
y
1
(
R
2
)
Re
l
a
y
1
(
R
1
)
U
s
e
r
2
(
U
2
)
U
s
e
r
1
(
U
1
)
h
R
1
h
U
1
h
R
2
h
U
2
E
ne
rgy H
a
rve
s
t
i
ng
Inform
a
t
i
on P
roc
e
s
s
i
ng
F
i
gu
r
e
1.
S
y
s
tem
m
od
el
f
or EH NO
MA
ne
t
wor
k
2.
1
.
Do
w
n
link NO
M
A
Rel
a
ys
(
W
P
NR)
F
i
r
s
t,
the
B
S
tr
an
s
m
i
ts
a
s
up
erim
po
s
ed
NO
MA
s
i
gn
a
l
(
∑
∈
1
,
2
)
to
1
and
2
wi
th
po
wer
di
s
tr
i
bu
t
i
on
f
r
ac
ti
on
s
1
and
2
,
r
es
pe
c
ti
v
e
l
y
,
where
1
<
2
and
1
2
+
2
2
=
1
.
T
he
r
ec
ei
v
e
d s
i
g
na
l
at
r
el
a
y
1
an
d
2
, res
pe
c
ti
v
el
y
i
s
gi
v
e
n
as
:
1
1
=
√
1
1
ℎ
1
+
√
2
2
ℎ
1
+
1
(
1
)
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KO
M
NIK
A
IS
S
N: 1
69
3
-
6
93
0
◼
W
i
r
el
es
s
po
wer
trans
f
er en
ab
l
ed
NO
MA
r
e
l
ay
s
y
s
tem
s
: two
S
IC
mo
d
es
…
(
Di
nh
-
T
hu
an
Do
)
2699
and
2
1
=
√
1
1
ℎ
2
+
√
2
2
ℎ
2
+
2
(
2
)
In
thi
s
c
as
e,
1
and
2
are
s
i
gn
al
i
nte
nd
e
d
f
or
1
a
nd
2
,
r
es
pe
c
ti
v
e
l
y
,
1
~
(
0
,
1
2
)
and
2
~
(
0
,
2
2
)
de
f
i
ne
th
e
ad
di
t
i
v
e
whi
t
e
G
au
s
s
i
a
n
no
i
s
e
(
A
W
G
N
)
at
1
and
2
w
i
t
h
eq
u
i
v
al
e
nt
v
aria
nc
e
1
2
=
2
2
=
2
.
W
e
fi
r
s
t
c
o
m
pu
te
S
i
gn
al
to
I
nte
r
f
erenc
e
an
d
No
i
s
e
Rat
i
o
(
S
INR)
at
1
t
o
de
tec
t s
i
gn
al
2
a
s
2
1
=
|
ℎ
1
|
2
2
|
ℎ
1
|
2
1
+
1
(
3
)
where
=
2
i
s
t
he
tr
an
s
m
i
t
S
i
gn
al
to
No
i
s
e
r
a
ti
o
(
S
NR)
a
t
1
.
T
he
n,
S
NR
i
s
c
om
pu
ted
at
1
to
de
tec
t s
i
gn
a
l
1
a
s
1
1
=
|
ℎ
1
|
2
1
(
4
)
n
ot
t
he
s
am
e
1
,
2
de
c
i
ph
ers
2
o
nl
y
when
i
t
i
s
r
ec
ei
v
es
h
i
g
he
r
en
erg
y
:
2
2
=
|
ℎ
2
|
2
2
|
ℎ
2
|
2
1
+
1
(
5
)
2.
2
.
E
n
er
g
y Ha
r
v
es
t
ing
In
order
to
de
pl
o
y
th
e
r
e
l
a
y
s
tr
uc
tur
e
s
i
m
pl
y
,
t
he
t
w
o
r
el
a
y
s
i
n
W
P
NR
ha
r
v
es
t
en
erg
y
f
r
o
m
the
s
i
gn
al
s
(x
e
)
tr
a
ns
m
i
tte
d
b
y
th
e
B
S
i
n
th
e
s
e
c
on
d
p
ha
s
e
w
i
t
h
(
{
}
2
)
=1
.
W
he
n
1
i
s
c
l
os
er
S
tha
n
2
,
i
t
ha
r
v
es
ts
m
ore
en
erg
y
t
ha
n
2
.
T
hi
s
un
ba
l
an
c
e
i
s
v
erif
i
e
d
b
y
1
c
on
s
um
e
s
m
ore en
erg
y
t
o a
n
al
y
z
e d
at
a a
n
d t
r
an
s
m
i
ts
i
t to
1
. A
l
l
of
th
e p
o
w
er
s
h
arv
es
te
d i
n t
h
i
s
ph
as
e a
r
e
1
2
=
|
ℎ
1
|
2
3
(
6
)
and
2
2
=
|
ℎ
2
|
2
3
(
7
)
2.
3
.
Do
w
n
link NO
M
A
u
sin
g
Rela
y
Dur
i
n
g
th
i
s
ti
m
e,
the
W
P
N
R
uti
l
i
z
es
the
ha
r
v
es
ted
e
ne
r
g
y
to
tr
an
s
m
i
t
the
s
y
m
bo
l
s
t
o
the
c
ert
ai
n
us
ers
,
th
at
i
s
,
1
tr
an
s
m
i
ts
bo
th
1
an
d
2
to
1
,
whi
l
e
2
tr
an
s
m
i
ts
2
to
2
,
the
r
ec
e
i
v
ed
s
i
gn
a
l
c
an
be
ob
ta
i
ne
d a
t
an
d
r
es
pe
c
t
i
v
el
y
as
1
=
√
1
2
(
√
1
1
+
√
2
2
)
ℎ
1
+
1
(
8
)
where p
o
w
er
al
l
oc
at
i
on
f
ac
tors
1
>
2
and
1
2
+
2
2
=
1
2
=
√
2
2
2
ℎ
2
+
2
(
9
)
It
i
s
wor
th
no
t
i
n
g
t
ha
t
1
and
2
are
t
he
po
wer
h
arv
es
ted
,
we
o
bta
i
ne
d
as
(
6)
a
nd
(
7).
T
he
S
INR a
t
1
t
o d
et
ec
t
1
an
d
2
an
d
2
de
tec
ts
2
r
es
pe
c
ti
v
el
y
i
l
l
us
tr
ate
d a
s
1
1
=
1
2
1
|
ℎ
1
|
2
1
2
2
|
ℎ
1
|
2
+
2
(
10
)
Evaluation Warning : The document was created with Spire.PDF for Python.
◼
IS
S
N: 16
93
-
6
93
0
T
E
L
KO
M
NIK
A
V
ol
.
17
,
No
.
6,
D
ec
em
be
r
20
19
:
26
9
7
-
2703
2700
and
2
1
=
1
2
|
ℎ
1
|
2
2
(
11
)
and
2
2
=
2
2
|
ℎ
2
|
2
2
(
12
)
3.
O
u
t
age P
r
o
b
abilit
y fo
r
t
h
e
E
n
t
ir
e Dow
n
link T
r
ansmission
T
he
ou
tag
e
pro
ba
b
i
l
i
t
y
i
n
do
w
n
l
i
nk
tr
an
s
f
er
w
i
l
l
oc
c
ur
i
f
the
tr
an
s
m
i
tte
d
da
t
a
i
s
no
t
pe
r
f
or
m
ed
wel
l
b
y
th
e
r
e
l
a
y
or
b
y
the
en
d
NO
MA
us
er.
T
he
ou
t
ag
e
pro
ba
b
i
l
i
t
y
(
1
1
)
of
1
at
1
i
s
i
n
di
c
at
ed
as
:
1
1
=
1
−
(
1
1
)
(
13
)
i
n
whi
c
h
1
=
(
1
−
Pr
(
2
1
<
2
)
)
(
1
−
Pr
(
1
1
<
1
)
)
,
1
=
(
1
−
Pr
(
1
1
<
1
)
)
(
1
−
Pr
(
2
1
<
1
)
)
,
1
=
2
1
−
1
an
d
2
=
2
2
−
1
,
w
h
ereas
1
and
2
s
tan
d
f
or
th
e
t
hres
ho
l
d
r
ate
s
of
1
a
nd
2
r
es
pe
c
ti
v
e
l
y
.
F
r
o
m
(
3) and
(
4),
1
c
an
be
gi
v
en
as
1
=
(
1
−
Pr
(
|
ℎ
1
|
2
2
|
ℎ
1
|
2
1
+
1
<
2
)
)
(
1
−
Pr
(
|
ℎ
1
|
2
1
<
1
)
)
=
Pr
(
|
ℎ
1
|
2
>
ma
x
(
2
(
2
−
2
1
)
,
1
1
)
1
)
=
−
1
1
(
14
)
B
y
s
ub
s
ti
tut
i
ng
th
e
v
a
l
ue
of
1
2
f
r
o
m
(
6)
i
nto
ab
ov
e
ex
pres
s
i
o
n
a
nd
af
ter
s
o
m
e
nu
m
eric
al
c
om
pu
tat
i
on
s
,
w
e c
an
f
i
gu
r
e
ou
t:
1
=
(
1
−
Pr
(
1
2
|
ℎ
1
|
2
(
1
−
2
1
)
2
<
1
)
)
⏟
1
×
(
1
−
Pr
(
1
2
|
ℎ
1
|
2
2
2
<
2
)
)
⏟
2
(
15
)
w
e c
on
s
i
de
r
e
ac
h c
om
po
ne
nt
an
d
1
are
ex
pres
s
ed
as
1
=
1
−
Pr
(
1
2
|
ℎ
1
|
2
(
1
−
2
1
)
2
<
1
)
=
1
−
∫
(
1
−
−
1
)
−
∞
0
(
16
)
w
i
th
the
as
s
i
s
tan
c
e
of
[[2
5],
E
q (3
.32
4.1
)
], t
he
ab
o
v
e
e
qu
at
i
on
c
an
b
e re
w
r
i
tte
n a
s
1
=
2
√
1
1
1
1
(
2
√
1
1
1
)
(
17
)
S
i
m
i
l
ar c
om
pu
tat
i
o
n c
an
be
de
p
l
o
y
ed
f
or
2
2
=
1
−
Pr
(
1
2
|
ℎ
1
|
2
2
2
<
2
)
=
1
−
∫
(
1
−
−
2
)
−
∞
0
(
18
)
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KO
M
NIK
A
IS
S
N: 1
69
3
-
6
93
0
◼
W
i
r
el
es
s
po
wer
trans
f
er en
ab
l
ed
NO
MA
r
e
l
ay
s
y
s
tem
s
: two
S
IC
mo
d
es
…
(
Di
nh
-
T
hu
an
Do
)
2701
and
2
=
2
√
2
2
1
1
(
2
√
2
2
1
)
(
19
)
where
1
(
.
)
i
s
th
e
fi
r
s
t
or
de
r
B
e
s
s
el
f
un
c
ti
o
n
of
the
s
ec
on
d
k
i
nd
.
A
f
ter
r
ep
l
ac
i
ng
(
14
)
an
d
(
15
)
i
nto
(
13
)
,
i
t c
an
be
ob
ta
i
n
ed
1
1
as
1
=
4
√
1
2
1
2
1
2
1
(
2
√
1
1
1
)
1
(
2
√
1
1
1
)
(2
-
)
No
w
th
e o
uta
g
e p
r
o
ba
b
i
l
i
t
y
at
2
c
an
be
c
a
l
c
ul
ate
d
f
or
2
whi
c
h c
an
be
tak
en
as
:
2
2
=
1
−
2
2
(
21
)
where
2
=
(
1
−
Pr
(
2
2
<
2
)
)
and
2
=
(
1
−
Pr
(
2
2
<
2
)
)
. B
as
ed
on
(
5),
2
i
s
gi
v
e
n b
y
2
=
(
1
−
(
|
ℎ
2
|
2
2
|
ℎ
2
|
2
1
+
1
<
2
)
)
=
−
2
2
(
2
−
2
1
)
(
22
)
s
i
m
i
l
arl
y
,
wi
th
th
e
s
up
p
ort o
f
[[2
0],
E
q.
(
3.
32
4.
1)],
we c
an
ex
pres
s
f
ol
l
o
w
i
ng
eq
u
ati
on
2
=
(
1
−
Pr
(
2
2
|
ℎ
2
|
2
2
<
2
)
)
=
2
√
3
2
2
1
(
2
√
3
2
2
)
(
23
)
b
y
s
u
bs
ti
tu
ti
n
g (22)
an
d (
23
)
i
nto
(
21
)
, th
e res
pe
c
t
i
v
e e
x
pres
s
i
on
of
2
2
i
s
ac
q
ui
r
e
d.
4.
S
i
mu
latio
n
Re
sult
s
In
thi
s
s
ec
ti
on
,
t
he
s
y
s
tem
ou
tag
e
pro
ba
b
i
l
i
t
y
f
or
s
uc
h
E
H
-
NO
M
A
i
s
e
v
a
l
ua
ted
un
de
r
di
f
f
erent
target
r
ate
s
,
tr
a
ns
m
i
t
S
NR,
pe
r
c
en
t
ag
e
of
h
arv
es
te
d
po
wer
.
W
e
s
et
po
w
er
a
l
l
oc
ati
on
f
ac
tors
as
i
l
l
us
tr
at
i
o
ns
i
n
ea
c
h
f
i
gu
r
e.
F
i
gu
r
e
2
p
l
ot
the
ou
ta
ge
p
erf
or
m
an
c
e
i
s
m
er
el
y
r
ef
err
ed
to
.
Ho
w
e
v
er,
i
n
order
t
o
en
s
ure
a
c
om
m
un
i
c
ati
on
r
el
i
a
b
i
l
i
t
y
,
we
s
ho
u
l
d
s
e
l
ec
t
a
s
m
al
l
v
a
l
ue
f
or
the
tar
ge
t
r
a
te
a
nd
t
he
S
N
R
i
s
gu
arant
ee
d
en
ou
g
h
h
i
gh
.
It
c
a
n
b
e
s
ee
n
th
at
h
i
g
he
r
targ
et
r
ate
s
l
i
m
i
t
ou
tag
e
pe
r
f
or
m
an
c
e.
It
i
s
ob
v
i
ou
s
t
h
at
th
e
NO
MA
ne
t
w
ork
s
ha
v
e
di
f
f
erent
p
o
wer
a
l
l
oc
ati
on
f
ac
tors
, a
nd
he
nc
e p
erf
or
m
an
c
e g
ap
b
et
w
e
en
t
wo f
ar
NO
MA
us
ers
ex
i
s
t.
F
i
gu
r
e
3
i
n
di
c
at
es
tha
t
the
ou
ta
ge
pro
ba
b
i
l
i
t
y
f
or
s
uc
h
E
H
NO
MA
wi
th
di
f
f
erent
po
w
er
s
pl
i
tt
i
n
g
f
r
ac
ti
on
s
f
or
en
e
r
g
y
h
arv
es
t
i
ng
po
l
i
c
y
,
where
e
ne
r
g
y
h
arv
es
t
i
n
g
c
on
tr
i
bu
tes
to
i
nc
r
ea
s
i
ng
p
o
w
er
as
s
i
gn
ed
at
r
e
l
a
y
.
W
e
c
an
c
on
c
l
ud
e
f
r
o
m
F
i
gu
r
e
3
tha
t
i
n
c
o
m
pa
r
i
s
on
wi
th
three
c
i
r
c
um
s
tan
c
es
of
E
H
-
NO
MA
w
i
t
h
v
ar
y
i
ng
p
o
w
e
r
s
pl
i
tti
ng
f
r
ac
ti
on
s
,
th
e
pr
op
os
ed
m
od
el
wi
th
hi
gh
er
t
i
m
e
po
w
er
c
ol
l
ec
ti
ng
al
l
oc
at
i
o
n
c
an
di
s
ti
n
gu
i
s
h
the
ou
t
ag
e
proba
bi
l
i
t
y
.
F
urth
erm
ore
,
F
i
gu
r
e
3
i
nd
i
c
ate
s
th
at
E
H
-
NO
MA
c
an
r
a
i
s
e
r
em
ar
k
ab
l
y
th
e
ou
t
ag
e
proba
bi
l
i
t
y
a
t
hi
gh
tr
a
ns
m
i
t
S
NR a
t th
e B
S
.
B
es
i
de
s
, t
h
e a
n
al
y
ti
c
l
i
ne
s
ad
ap
t
the
M
on
te
-
Car
l
o s
i
m
ul
at
i
on
v
er
y
wel
l
.
F
i
gu
r
e
4
s
h
o
w
s
o
uta
ge
pe
r
f
or
m
an
c
e
of
E
H
NO
M
A
v
ers
us
tr
an
s
m
i
t
S
NR.
It
i
s
o
bv
i
ou
s
that
ha
s
a
s
i
gn
i
f
i
c
an
t
ef
f
ec
t
on
the
o
uta
g
e
prob
ab
i
l
i
t
y
o
f
the
propos
ed
n
et
w
ork
.
It
i
s
s
ho
w
n
t
ha
t
i
n
F
i
g
ure
5
t
he
ne
t
wor
k
throug
h
pu
t
i
n
d
el
a
y
-
l
i
m
i
ted
m
od
e
c
an
b
e
c
om
pa
r
ed
a
s
v
ar
y
i
ng
targe
t
r
ate
s
.
T
he
thro
ug
h
pu
t
of
th
e
s
ec
on
d
NO
M
A
us
er
i
s
b
ett
er
t
ha
n
tha
t
of
the
f
i
r
s
t
us
er,
s
i
nc
e
t
he
y
are
a
l
l
oc
a
ted
di
f
f
erent
p
o
wer
f
ac
tors
.
In
a
dd
i
ti
o
n,
t
he
f
i
gu
r
es
i
l
l
us
tr
at
e
th
at
E
H
-
NO
M
A
h
i
ts
the
f
l
ux
c
e
i
l
i
n
g
i
n
t
he
hi
gh
S
NR
s
c
he
m
e.
Mo
r
eo
v
er,
i
t
i
s
i
m
po
r
ta
nt
no
t
i
n
g
t
ha
t
th
e
thro
ug
h
pu
t
i
s
r
es
ul
ted
f
r
o
m
ac
hi
ev
ed
ou
t
ag
e
proba
bl
y
a
nd
t
he
s
e t
r
e
nd
s
of
l
i
ne
s
c
an
be
ex
p
ec
te
d.
Evaluation Warning : The document was created with Spire.PDF for Python.
◼
IS
S
N: 16
93
-
6
93
0
T
E
L
KO
M
NIK
A
V
ol
.
17
,
No
.
6,
D
ec
em
be
r
20
19
:
26
9
7
-
2703
2702
F
i
gu
r
e
2.
O
ut
ag
e
prob
ab
i
l
i
t
y
v
ers
us
the
tra
ns
m
i
t
, wi
th
=
0
.
2
,
=
0
.
9
,
1
=
2
=
0
.
2
and
2
=
1
=
0
.
8
F
i
gu
r
e
3.
O
ut
ag
e
prob
ab
i
l
i
t
y
v
ers
us
the
tra
ns
m
i
t
, wi
th
=
0
.
9
,
1
=
2
=
0
.
2
and
2
=
1
=
0
.
8
F
i
gu
r
e
4.
O
ut
ag
e
prob
ab
i
l
i
t
y
v
ers
us
the
p
o
w
er s
p
l
i
t
ti
n
g f
r
ac
ti
on
, wi
th
=
0
.
9
,
1
=
2
=
1
(
bp
s
/H
z
)
,
1
=
2
=
0
.
2
an
d
1
=
2
=
0
.
2
F
i
gu
r
e
5.
T
hrough
pu
t
pe
r
f
orm
an
c
e o
f
E
H NO
MA
wi
th
=
0
.
2
,
=
0
.
9
,
1
=
2
=
0
.
2
and
1
=
2
=
0
.
2
5
. Con
clus
ion
In
c
on
c
l
us
i
on
,
a
m
od
ern
E
H
NO
M
A
m
od
el
f
or
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DT
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1
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[2
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[2
4
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tr
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2
0
1
9
;
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:
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1
9
.
[2
5
]
G
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s
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2
0
0
7
.
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