T
E
L
KO
M
NIK
A
, V
ol
.
17
,
No.
5,
O
c
tob
er
20
1
9,
p
p.
2
14
7
~
2154
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
DO
I:
10.12928
/T
E
LK
OM
NIK
A
.v1
7
i
5
.
12451
◼
21
47
Rec
ei
v
ed
J
an
u
ary
28
,
20
1
9
; Rev
i
s
ed
M
arc
h
19
,
20
1
9
;
A
c
c
ep
ted
A
pril
9
,
20
1
9
Coo
perati
v
e
u
n
derla
y
c
og
ni
ti
v
e
radio as
siste
d
NO
M
A
:
secon
dar
y
net
w
ork im
pro
v
e
me
nt
and
ou
t
age
perf
orma
nce
Din
h
-
T
h
u
an Do
*
1
, Chi
-
Ba
o
Le
2
,
A
n
h
-
T
u
Le
3
1
W
i
re
l
e
s
s
Co
m
m
u
n
i
c
a
ti
o
n
s
R
e
s
e
a
r
c
h
Grou
p
,
Fa
c
u
l
ty
o
f
El
e
c
t
ri
c
a
l
a
n
d
El
e
c
tro
n
i
c
s
En
g
i
n
e
e
ri
n
g
,
T
o
n
Du
c
T
h
a
n
g
Un
i
v
e
rs
i
ty
,
Ho
Ch
i
M
i
n
h
Ci
ty
,
Vi
e
t
n
a
m
2
,3
Fa
c
u
l
ty
o
f
El
e
c
tro
n
i
c
s
T
e
c
h
n
o
l
o
g
y
,
In
d
u
s
tri
a
l
Un
i
v
e
r
s
i
ty
o
f
Ho
Chi
M
i
n
h
Ci
ty
(I
UH
),
Ho
Chi
M
i
n
h
Ci
ty
,
Vi
e
t
n
a
m
*C
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
p
a
p
e
r,
a
d
o
w
n
l
i
n
k
s
c
e
n
a
ri
o
o
f
a
n
o
n
-
o
rth
o
g
o
n
a
l
m
u
l
ti
p
l
e
a
c
c
e
s
s
(NO
M
A)
s
c
h
e
m
e
wit
h
p
o
wer
c
o
n
s
tra
i
n
t
v
i
a
s
p
e
c
tr
u
m
s
e
n
s
i
n
g
i
s
c
o
n
s
i
d
e
re
d
.
Su
c
h
n
e
tw
o
rk
p
ro
v
i
d
e
s
i
m
p
ro
v
e
d
o
u
t
a
g
e
p
e
rfo
rm
a
n
c
e
a
n
d
n
e
w
s
c
h
e
m
e
o
f
NO
M
A
-
b
a
s
e
d
c
o
g
n
i
ti
v
e
ra
d
i
o
(CR
-
NO
M
A)
n
e
two
rk
a
re
i
n
tro
d
u
c
e
d
.
Th
e
d
i
ff
e
r
e
n
t
p
o
wer
a
l
l
o
c
a
ti
o
n
fa
c
t
o
rs
a
re
e
x
a
m
i
n
e
d
s
u
b
j
e
c
t
to
p
e
rfo
rm
a
n
c
e
g
a
p
a
m
o
n
g
t
h
e
s
e
s
e
c
o
n
d
a
r
y
NO
M
A
u
s
e
rs
.
To
e
v
a
l
u
a
te
s
y
s
te
m
p
e
rfo
rm
a
n
c
e
,
th
e
e
x
a
c
t
o
u
ta
g
e
p
r
o
b
a
b
i
l
i
ty
e
x
p
re
s
s
i
o
n
s
o
f
s
e
c
o
n
d
a
r
y
u
s
e
r
s
a
r
e
d
e
ri
v
e
d
.
Fi
n
a
l
l
y
,
t
h
e
d
i
s
s
i
m
i
l
a
r
p
e
rfo
rm
a
n
c
e
p
ro
b
l
e
m
i
n
te
rm
o
f
s
e
c
o
n
d
a
ry
u
s
e
rs
i
s
i
l
l
u
s
tra
te
d
v
i
a
s
i
m
u
l
a
t
i
o
n
,
i
n
whi
c
h
a
p
o
wer
a
l
l
o
c
a
ti
o
n
s
c
h
e
m
e
a
n
d
th
e
th
re
s
h
o
l
d
ra
te
s
a
re
c
o
n
s
i
d
e
re
d
a
s
m
a
i
n
i
m
p
a
c
t
s
o
f
v
a
ry
i
n
g
s
y
s
t
e
m
p
e
rf
o
rm
a
n
c
e
.
Th
e
s
i
m
u
l
a
ti
o
n
re
s
u
l
t
s
s
h
o
w
th
a
t
th
e
p
e
rfo
rm
a
n
c
e
o
f
CR
-
NO
M
A
n
e
two
rk
c
a
n
b
e
i
m
p
ro
v
e
d
s
i
g
n
i
f
i
c
a
n
tl
y
.
Key
w
ords
:
c
o
g
n
i
ti
v
e
ra
d
i
o
n
e
t
work
,
n
o
n
-
o
rt
h
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
Rec
en
t
l
y
,
as
wi
d
el
y
c
o
ns
i
d
erati
o
n
on
c
a
nd
i
da
t
es
f
or
t
he
f
i
f
th
ge
ne
r
at
i
o
n
(
5
G
)
wi
r
el
es
s
c
o
m
m
un
i
c
ati
on
,
a
no
v
e
l
m
ul
ti
pl
e
ac
c
es
s
(
MA
)
t
ec
hn
i
qu
e,
na
m
ed
n
on
-
orth
og
o
na
l
m
ul
ti
pl
e
ac
c
es
s
(
NO
MA
)
,
ha
s
be
e
n
i
n
tr
o
du
c
ed
.
M
ai
n
ad
v
an
t
ag
es
of
NO
MA
c
an
be
s
ee
n
as
m
as
s
i
v
e
c
on
ne
c
ti
on
s
,
i
ts
s
up
er
i
or
s
pe
c
tr
al
ef
f
i
c
i
en
c
y
,
b
al
an
c
ed
us
er
f
ai
r
ne
s
s
,
an
d
l
o
w
ac
c
es
s
l
ate
nc
y
[1
,
2].
In
c
o
ntras
t
t
o
c
on
v
en
t
i
on
al
ort
ho
g
on
a
l
m
ul
ti
pl
e
ac
c
es
s
(
O
MA
)
r
el
a
y
i
ng
n
et
w
ork
s
s
uc
h
as
ti
m
e
-
di
v
i
s
i
o
n
m
ul
t
i
pl
e
ac
c
es
s
(
T
DMA
)
a
nd
f
r
eq
ue
nc
y
-
d
i
v
i
s
i
o
n
m
ul
ti
pl
e
ac
c
es
s
(
F
DMA
)
[3
-
6
],
th
e
n
on
-
ort
ho
go
na
l
r
es
ou
r
c
e
al
l
oc
at
i
o
n
i
s
em
pl
o
y
ed
i
n
NO
M
A
.
T
he
au
th
ors
i
n
[
7
-
9]
d
ev
el
o
pe
d
s
y
s
tem
m
od
el
whi
c
h
c
om
bi
ne
s
r
el
a
y
s
c
he
m
e
i
n
NO
M
A
to
i
ntrodu
c
e
no
v
e
l
s
c
he
m
e,
na
m
el
y
c
oo
pe
r
at
i
v
e
NO
MA
.
In
pr
i
nc
i
p
l
e,
the
po
w
er
do
m
ai
n
f
or
r
ea
l
i
z
i
n
g
MA
an
d
s
uc
h
k
e
y
i
de
a
of
NO
MA
ne
e
d
to
ex
p
l
ored
to
h
i
g
hl
i
gh
t
d
i
ff
erent
pe
r
f
orm
an
c
e
of
N
O
MA
us
e
r
s
as
di
f
f
ere
nt
po
w
er
l
e
v
e
l
s
al
l
oc
ate
d
[
10
–
12
],
whi
l
e
the
r
ec
ei
v
ers
pe
r
f
or
m
the
s
uc
c
es
s
i
v
e
i
nte
r
f
erenc
e
c
an
c
el
l
ati
on
(
S
IC)
to
e
l
i
m
i
n
ate
the
m
ul
ti
us
er
i
nte
r
f
eren
c
e
[1
3,
14
],
r
es
pe
c
t
i
v
el
y
.
N
ex
t,
th
e
r
el
a
ted
wor
k
s
i
n
c
on
v
e
nti
on
a
l
m
ul
t
i
u
s
er
c
og
ni
t
i
v
e
r
ad
i
o
a
re
e
x
pl
ored.
T
he
au
t
ho
r
s
i
n
[1
5
–
17
]
s
tud
i
ed
the
m
ul
ti
-
an
te
nn
a
prob
l
em
s
w
i
t
h
s
i
ng
l
e/m
ul
ti
p
l
e
s
ec
o
nd
ar
y
r
ec
e
i
v
ers
(
S
Rs
)
an
d
s
i
ng
l
e
/m
ul
ti
pl
e
prim
ar
y
r
ec
e
i
v
ers
(
P
Us
)
.
T
he
au
th
ors
i
n
[1
6]
s
t
ud
i
ed
the
m
ul
ti
c
as
t
m
ul
ti
p
l
e
an
t
en
na
c
og
ni
t
i
v
e
ra
di
o
n
et
w
ork
w
he
r
e
s
i
ng
l
e
da
ta
s
tr
ea
m
i
s
tr
an
s
m
i
tte
d
f
r
o
m
s
ec
on
da
r
y
tr
an
s
m
i
tte
r
to
group
of
s
ec
on
da
r
y
r
ec
ei
v
ers
i
n t
h
e
pres
en
c
e o
f
m
ul
ti
pl
e s
i
ng
l
e
-
an
te
nn
a
prim
ar
y
us
ers
.
T
he
ad
v
an
t
ag
es
of
c
oo
pe
r
a
ti
v
e
c
om
m
un
i
c
ati
o
ns
ha
v
e
al
s
o
be
e
n
d
ep
l
o
y
ed
to
CR
-
NO
MA
ne
t
w
or
k
s
[18
,
1
9].
I
n
[1
8],
t
he
au
th
ors
s
tud
i
ed
t
he
N
O
MA
a
pp
l
i
c
at
i
on
to
tr
an
s
m
i
t
u
ni
c
as
t
a
nd
m
ul
ti
c
as
t
i
nf
or
m
ati
on
r
es
p
ec
ti
v
el
y
to
pr
i
m
ar
y
an
d
s
ec
on
da
r
y
us
ers
(
S
Us
)
.
In
s
uc
h
ne
t
w
ork
,
the
s
ec
o
nd
ar
y
ne
t
wor
k
(
S
N)
pro
v
i
d
es
th
e
c
o
op
er
ati
on
f
or
t
he
c
om
pe
ns
at
i
on
of
ac
c
es
s
i
ng
t
o
the
prim
ar
y
s
pe
c
tr
um
[18
].
F
urth
erm
ore,
a
t
w
o
-
s
ta
ge
c
o
op
erat
i
v
e
s
tr
a
teg
y
was
s
tud
i
ed
to
en
ha
nc
e
the
S
U
f
ai
r
ne
s
s
an
d
s
uc
h
no
v
el
c
oo
pe
r
ati
v
e
m
ul
ti
c
as
t
CR
-
NO
MA
s
c
he
m
e
w
as
propos
e
d
i
n
[
19
].
O
t
he
r
ap
p
l
i
c
at
i
on
s
c
an
be
s
ee
n
i
n
[
20
-
25
].
Mo
ti
v
at
ed
b
y
th
es
e
w
o
r
k
s
an
d
no
v
el
r
es
ul
t f
r
om
[2
0],
th
i
s
p
ap
er
s
tud
i
es
ou
ta
ge
pe
r
f
or
m
an
c
e o
f
CR NO
M
A
.
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
.
5,
O
c
tob
er 20
19:
21
4
7
-
21
54
2148
2.
S
ys
t
em D
es
cr
ipt
ion
A
n
et
w
ork
c
on
s
i
s
ts
of
a
s
ec
on
da
r
y
s
o
urc
e
(
S
)
,
a
r
el
a
y
(
R)
an
d
t
w
o
de
s
t
i
na
ti
o
n
us
ers
(
D1,
D2)
i
s
c
on
s
i
de
r
ed
.
W
e
on
l
y
ex
am
i
ne
a
do
w
n
l
i
nk
c
oo
pe
r
at
i
v
e
un
de
r
l
a
y
C
R
-
NO
MA
n
et
w
ork
an
d
ex
i
s
ten
c
e
of
a
pr
i
m
ar
y
de
s
ti
na
t
i
on
(
P
)
as
s
h
o
w
n
i
n
F
i
g
ure
1
.
T
he
c
orr
es
po
n
di
n
g
d
i
s
tan
c
es
be
t
w
e
en
n
od
es
S
-
P
,
R
-
P
,
S
-
R,
R
-
D1,
R
-
D
2
are
gi
v
en
as
,
,
,
1
and
2
.
T
hu
s
,
the
s
ec
o
nd
ar
y
tr
a
ns
m
i
t
no
de
i
s
r
es
tr
i
c
ted
as
≤
(
|
ℎ
|
2
,
̂
)
,
∀
∈
{
,
}
.
In
t
hi
s
c
as
e,
̂
de
no
t
es
th
e
m
ax
i
m
um
av
erage
al
l
o
wed
tr
an
s
m
i
t
po
wer
at
no
de
w
h
i
l
e
i
n
di
c
ate
s
the
i
nte
r
f
erenc
e t
em
pe
r
atu
r
e c
on
s
tr
ai
n
t (IT
C)
at
P
.
S
D
1
D
2
h
1
h
2
h
SR
P
h
SP
h
RP
R
e
l
a
y
F
i
gu
r
e
1
.
S
y
s
tem
m
od
el
f
or CR
NO
M
A
n
et
w
ork
In
th
e
f
i
r
s
t
ti
m
e
pe
r
i
od
,
S
s
en
ds
i
ts
s
up
er
i
m
po
s
ed
s
i
g
na
l
∑
√
+
2
=
1
to
us
er
D
1
throug
h
th
e
as
s
i
s
ta
nc
e
.
In
NO
MA
,
i
s
the
po
wer
a
l
l
oc
ati
o
n
f
ac
tors
w
i
t
h
∑
√
=
1
2
=
1
.
T
he
n,
the
s
i
gn
a
l
r
ec
e
i
v
ed
t
he
r
e
l
a
y
c
an
be
ex
pres
s
as
:
=
ℎ
√
−
∑
√
+
2
=
1
(
1)
t
h
e
s
i
g
na
l
-
to
-
i
nt
erf
erenc
e
-
pl
us
-
no
i
s
e
r
ati
o
(
S
IN
R)
a
nd
s
i
gn
al
-
to
-
no
i
s
e
r
ati
o
(
S
NR)
of
1
is
de
c
od
e
d a
nd
r
em
ov
ed
f
r
o
m
th
e rec
e
i
v
ed
s
i
gn
al
at
R
an
d i
t c
a
n b
e g
i
v
en
as
:
=
|
ℎ
|
2
1
−
|
ℎ
|
2
2
−
+
1
(
2)
then
the
S
INR
of
2
w
he
n i
t i
s
de
c
od
ed
f
r
om
th
e rec
ei
v
ed
s
i
gn
a
l
=
|
ℎ
|
2
2
−
(
3)
where
=
2
.
In
the
s
ec
on
d
t
i
m
e
pe
r
i
od
,
f
orw
ards
th
e
de
tec
te
d
s
up
er
i
m
po
s
ed
s
i
gn
a
l
∑
√
−
̃
2
=
1
to
b
oth
us
ers
D
1
and
D2
.
T
he
r
ef
ore,
th
e
s
i
g
na
l
r
ec
ei
v
e
d
b
y
the
t
wo
d
es
ti
n
ati
on
c
an
be
gi
v
e
n b
y
:
=
ℎ
∑
√
−
̃
2
=
1
+
(
4)
where
=
∈
{
1
,
2
}
,
i
s
th
e
po
wer
a
l
l
oc
at
i
o
n,
wi
t
h
∑
√
=
1
2
=
1
tr
ea
t
i
ng
2
as
i
nt
erf
erenc
e
i
n
1
, th
e
i
ns
ta
nta
ne
o
us
S
IN
R at
D2
whe
n t
r
ea
t
i
n
g
̃
2
as
i
nt
erf
erenc
e c
an
b
e o
bta
i
ne
d a
s
:
2
,
1
=
|
ℎ
2
|
2
1
2
−
|
ℎ
2
|
2
2
2
−
+
1
(
5)
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
◼
Coop
erati
v
e
un
de
r
l
ay
c
og
n
i
ti
v
e rad
i
o
as
s
i
s
ted
NO
MA
:
s
ec
on
da
r
y
ne
twork
… (
D
i
n
h
-
T
hu
an
Do
)
2149
B
as
ed
o
n
NO
MA
s
c
he
m
e,
D2
f
i
r
s
t
de
c
od
es
th
e
m
es
s
ag
e
de
s
i
gn
at
ed
f
or
D1
an
d
r
e
m
ov
es
i
t
us
i
ng
S
IC,
th
en
i
t
d
ec
od
es
i
ts
own
m
es
s
ag
e
wi
th
ou
t
i
nte
r
f
erenc
e.
T
he
r
ef
ore,
the
i
ns
tan
t
an
e
ou
s
S
NR a
t
D2
c
an
be
ex
pres
s
ed
as
:
2
=
|
ℎ
2
|
2
2
2
−
(
6)
ne
x
t
,
D1
c
an
de
t
ec
t
̃
1
b
y
tre
ati
n
g
̃
2
as
a
no
i
s
e
w
i
th
t
he
f
ol
l
o
wi
ng
S
INR
1
=
|
ℎ
1
|
2
1
1
−
|
ℎ
1
|
2
2
1
−
+
1
(
7)
3.
O
u
t
age
A
n
al
ys
is
3
.
1
.
O
u
t
age
Pr
o
b
abilit
y
at D1
Cons
i
d
er
m
etri
c
to
ev
al
ua
t
e
s
y
s
tem
pe
r
f
or
m
an
c
e,
the
NO
MA
us
ers
’
pe
r
f
orm
an
c
e
wi
l
l
b
e
ex
am
i
ne
d
i
n
t
erm
o
f
ou
tag
e
prob
ab
i
l
i
t
y
.
T
he
tr
a
ns
m
i
s
s
i
on
s
tr
ate
g
y
i
n
C
R
NO
M
A
i
s
pe
r
f
or
m
ed
r
el
ate
d
to
ho
w
s
uc
c
es
s
ea
c
h
no
de
i
n
s
uc
h
ne
t
wor
k
c
an
s
up
po
r
t
tr
an
s
m
i
s
s
i
on
,
whi
c
h
s
i
gn
i
f
i
c
a
ntl
y
i
m
prov
e
qu
al
i
t
y
of
the
c
o
m
m
un
i
c
ati
on
f
or
m
ul
ti
p
l
e
s
erv
i
c
es
pro
v
i
de
d
.
In
thi
s
pa
p
er,
m
ai
n
ev
a
l
u
ati
on
m
etri
c
,
na
m
el
y
ou
ta
ge
proba
bi
l
i
t
y
i
s
us
e
d
to
c
ha
r
ac
ter
i
z
e
t
he
s
y
s
t
em
pe
r
f
or
m
an
c
e.
T
he
ou
tag
e e
v
e
nt
f
or D1 c
a
n b
e
ex
pres
s
ed
b
y
:
(
)
(
)
(
)
(
)
(
)
(
)
(
)
(
)
(
)
(
)
2
1
2
1
1
R
1
1
1
1
R
1
2
1
1
1
1
1
1
1
1
1
1
P
r
m
in
,
,
1.
D
D
D
D
R
DD
OP
F
F
F
F
F
F
=
−
=
+
−
+
−
(
8)
Co
ns
i
d
erin
g
,
as
i
nte
gr
ati
on
v
aria
bl
e
,
b
y
em
pl
o
y
i
n
g
ex
po
ne
nti
al
d
i
s
tr
i
b
uti
on
f
or
|
ℎ
|
2
and
|
ℎ
|
2
;
the
Cum
ul
at
i
v
e
Di
s
tr
i
bu
ti
on
F
u
nc
ti
o
n
(
CDF
)
of
|
ℎ
|
2
is
|
ℎ
|
2
(
)
=
(
|
ℎ
|
2
<
)
=
1
−
−
. S
o,
w
i
t
h h
el
p
of
(
2)
1
(
1
)
c
an
b
e
w
r
i
te
as
:
1
(
1
)
=
(
|
ℎ
|
2
1
|
ℎ
|
2
2
+
<
1
,
̄
<
Δ
)
+
(
|
ℎ
|
2
1
Δ
|
ℎ
|
2
2
Δ
+
<
1
,
̄
>
Δ
)
(
9)
where:
Δ
=
Ω
|
ℎ
|
2
,
Ω
=
,
̄
=
̄
2
,
=
2
. No
w
,
w
e c
a
n t
r
an
s
f
er as
:
1
(
1
)
=
(
|
ℎ
|
2
<
1
̄
(
1
−
1
2
)
,
|
ℎ
|
2
<
Ω
̄
)
⏟
+
(
|
ℎ
|
2
<
1
|
ℎ
|
2
(
1
−
1
2
)
Ω
,
|
ℎ
|
2
>
Ω
̄
)
⏟
(
10)
i
n
t
hi
s
c
as
e,
we
d
ef
i
ne
t
he
f
i
r
s
t
ter
m
an
d
the
s
ec
on
d
t
erm
o
f
(
10
)
de
no
t
e
A
an
d
B
r
es
pe
c
t
i
v
el
y
.
B
as
ed
on
t
he
ex
po
n
en
t
i
a
l
d
i
s
tr
i
bu
t
i
o
n o
f
|
ℎ
|
2
,
c
an
be
w
r
i
tt
en
as
:
=
(
1
−
−
1
̄
(
1
−
1
2
)
)
(
1
−
−
Ω
̄
)
(
11)
ne
x
t
, th
e
s
ec
on
d t
erm
de
no
ted
b
y
B
c
an
be
ob
t
ai
n
ed
as
:
=
(
−
Ω
̄
−
(
1
−
1
2
)
Ω
−
(
1
+
Ω
(
1
−
1
2
)
(
1
−
1
2
)
̄
)
1
+
(
1
−
1
2
)
Ω
)
the
r
ef
ore, r
ep
l
ac
i
ng
(
1
1) an
d (12) i
nto
(
1
0)
1
(
1
)
c
an
be
ex
p
r
es
s
as
:
(
12
)
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
.
5,
O
c
tob
er 20
19:
21
4
7
-
21
54
2150
1
(
1
)
=
{
1
−
−
1
̄
(
1
−
1
2
)
+
1
−
(
1
+
Ω
(
1
−
1
2
)
(
1
−
1
2
)
̄
)
1
+
(
1
−
1
2
)
Ω
1
,
1
<
1
2
,
ℎ
(
13)
s
i
m
i
l
ar, wi
th
he
l
p
(
5)
we
c
a
n
w
i
r
te
21
(
1
)
as
:
21
(
1
)
=
(
|
ℎ
2
|
2
1
̄
|
ℎ
2
|
2
2
̄
+
2
<
1
,
̄
<
Δ
)
+
(
|
ℎ
2
|
2
1
Δ
|
ℎ
2
|
2
2
Δ
+
2
<
1
,
̄
>
Δ
)
(
14)
ne
x
t,
21
(
1
)
c
an
be
tr
an
s
f
er as
:
21
(
1
)
=
(
|
ℎ
2
|
2
<
1
2
(
1
−
1
2
)
̄
,
|
ℎ
|
2
<
Ω
̄
)
+
(
|
ℎ
2
|
2
<
1
2
|
ℎ
|
2
(
1
−
1
2
)
Ω
,
|
ℎ
|
2
>
Ω
̄
)
(
15)
the
n,
f
ol
l
o
w
i
ng
the
s
am
e
s
tep
s
as
i
n
(
1
0)
-
(
12
)
,
B
as
ed
on
t
he
ex
po
n
en
t
i
a
l
d
i
s
tr
i
b
ut
i
on
of
|
ℎ
|
2
,
1
(
1
)
an
d
21
(
1
)
c
an
be
w
r
i
tte
n
r
es
pe
c
ti
v
e
l
y
as
:
21
(
1
)
=
{
1
−
−
1
2
(
1
−
1
2
)
̄
+
1
2
−
(
1
2
+
Ω
(
1
−
1
2
)
(
1
−
1
2
)
̄
)
1
2
+
(
1
−
1
2
)
Ω
,
1
<
1
2
1
,
othe
r
wi
s
e
(
16
)
and
1
(
1
)
=
{
1
−
−
1
1
(
1
−
1
2
)
̄
+
1
1
−
(
1
1
+
Ω
(
1
−
1
2
)
(
1
−
1
2
)
̄
)
1
1
+
(
1
−
1
2
)
Ω
,
1
<
1
2
1
,
ℎ
(
17)
the
r
ef
ore
,
1
c
an
be
ob
t
ai
n
ed
b
y
r
e
p
l
ac
i
ng
(
13
),
(
16
)
an
d
(
17
)
i
nt
o (8)
1
=
{
1
−
(
−
1
̄
(
1
−
1
2
)
−
1
−
(
1
+
Ω
(
1
−
1
2
)
(
1
−
1
2
)
̄
)
1
+
(
1
−
1
2
)
Ω
)
×
∏
(
−
1
(
1
−
1
2
)
̄
−
1
−
(
1
+
Ω
(
1
−
1
2
)
(
1
−
1
2
)
̄
)
1
+
(
1
−
1
2
)
Ω
)
,
1
<
1
2
,
1
<
1
2
=
1
,
2
1
,
ℎ
(
18)
3.
2
.
O
u
t
age
P
r
o
b
abilit
y
at
D2
S
i
m
i
l
arl
y
, t
he
ou
ta
ge
ev
en
t
f
or D2 c
an
be
f
orm
ul
ate
d
b
y
:
(
)
(
)
(
)
(
)
(
)
(
)
2
2
2
2
2
R
2
2
2
2
2
2
2
1
P
r
m
in
,
.
D
R
D
R
D
OP
F
F
F
F
=
−
=
+
−
(
19
)
wi
th
he
l
p
(
3) t
he
n
we c
a
n
wr
i
te
2
(
2
)
as
:
2
(
2
)
=
(
|
ℎ
|
2
2
̄
<
2
,
̄
<
Δ
)
+
(
|
ℎ
|
2
2
Δ
<
2
,
̄
>
Δ
)
(
20
)
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
◼
Coop
erati
v
e
un
de
r
l
ay
c
og
n
i
ti
v
e rad
i
o
as
s
i
s
ted
NO
MA
:
s
ec
on
da
r
y
ne
twork
… (
D
i
n
h
-
T
hu
an
Do
)
2151
s
i
m
i
l
arl
y
,
ba
s
ed
on
t
he
ex
p
on
en
ti
a
l
d
i
s
tr
i
b
uti
on
of
|
ℎ
|
2
. S
o
2
(
2
)
c
an
be
ex
pres
s
as
:
2
(
2
)
=
1
−
−
2
Ω
2
2
̄
+
2
−
(
2
+
2
Ω
2
̄
)
2
+
2
Ω
(
21
)
wi
th
the
he
l
p o
f
(
6),
w
e
c
an
w
r
i
te
2
(
2
)
as
:
2
(
2
)
=
(
|
ℎ
2
|
2
2
2
<
2
,
̄
<
Δ
)
+
(
|
ℎ
2
|
2
2
Δ
2
<
2
,
̄
>
Δ
)
(
22)
ap
p
l
y
i
ng
s
i
m
i
l
ar tec
hn
i
q
ue
s
as
be
f
ore
,
w
e
s
i
m
pl
i
f
y
2
(
2
)
as
:
2
(
2
)
=
1
−
−
2
2
2
̄
+
2
2
−
(
2
2
+
2
Ω
2
̄
)
2
2
+
2
Ω
(
23
)
r
ep
l
ac
i
ng
(
2
1) an
d (23)
i
nt
o
(
19
)
2
c
an
be
o
bta
i
n
as
:
2
=
1
−
(
−
2
2
2
̄
−
2
2
−
(
2
2
+
2
Ω
2
̄
)
2
2
+
2
Ω
)
(
−
2
Ω
2
2
̄
−
2
−
(
2
+
2
Ω
2
̄
)
2
+
2
Ω
)
(
24)
4.
P
er
f
o
r
m
ance
E
v
aluat
io
n
In
thi
s
s
ec
ti
on
,
we
e
v
al
ua
t
e
the
p
erf
or
m
an
c
e
of
r
es
o
urc
e
al
l
oc
ati
on
f
or
NO
MA
-
ba
s
ed
c
og
ni
t
i
v
e
r
ad
i
o
ne
t
wor
k
.
Cons
i
d
er
a
g
eo
gra
ph
i
c
al
are
a
c
o
v
ered
b
y
a
prim
ar
y
wi
r
el
es
s
n
et
w
ork
an
d
a
c
og
ni
t
i
v
e
w
i
r
e
l
es
s
n
et
w
ork
.
W
e
a
s
s
u
m
e
eq
ua
l
i
t
y
no
i
s
e
term
s
as
2
=
2
=
1
2
=
2
2
=
2
an
d
r
e
ga
r
d
i
ng
di
s
ta
nc
es
we
s
et
=
=
=
2
=
2
,
1
=
2
2
.
T
he
pa
th
l
os
s
f
ac
tor
i
s
3,
po
w
er a
l
l
oc
at
i
on
f
r
ac
ti
o
ns
a
r
e
1
=
1
=
0
.
8
,
2
=
2
=
0
.
2
,
=
25
and
=
0
.
001
W
e
ev
al
u
ate
the
i
m
pa
c
t
of
the
tr
an
s
m
i
t
S
NR
o
n
the
ou
t
ag
e
pe
r
f
orm
a
n
c
e
f
or
NO
MA
-
ba
s
e
d
c
og
ni
t
i
v
e
r
a
di
o
ne
t
wor
k
i
n
F
i
g
ure
2
an
d
F
i
gu
r
e
3.
A
t
hi
g
he
r
S
NR,
ou
ta
ge
pe
r
f
or
m
an
c
e
c
an
be
en
h
an
c
ed
s
i
g
ni
f
i
c
a
nt
l
y
.
W
i
th
the
c
as
e
da
t
a
r
at
e
R
1
i
nc
r
ea
s
es
,
th
e
o
uta
ge
pe
r
f
or
m
an
c
e
w
i
l
l
be
w
ors
e.
In
ad
di
t
i
on
,
t
he
r
e
i
s
s
tr
i
c
t
ag
r
ee
m
en
t
b
et
w
e
e
n
an
al
y
ti
c
al
r
es
u
l
t
an
d
Mo
nt
e
-
Car
l
o res
ul
t
.
F
i
gu
r
e
2.
O
ut
ag
e
prob
ab
i
l
i
t
y
of
D1
v
ers
us
S
NR as
v
ar
y
i
n
g R
1
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
.
5,
O
c
tob
er 20
19:
21
4
7
-
21
54
2152
F
i
gu
r
e
3.
O
ut
ag
e
prob
ab
i
l
i
t
y
of
D2
v
ers
us
S
NR as
v
ar
y
i
n
g R
2
F
r
o
m
F
i
gu
r
e
4
a
nd
F
i
gu
r
e
5,
i
t
c
a
n
be
c
o
nc
l
u
de
d
t
h
at
the
prop
os
ed
s
y
s
tem
n
ot
on
l
y
gu
ara
nte
es
the
m
i
ni
m
u
m
tr
an
s
m
i
s
s
i
on
r
ate
,
b
ut
al
s
o
i
m
prov
es
th
e
ou
ta
g
e
p
erf
or
m
an
c
e
s
i
gn
i
f
i
c
an
tl
y
.
A
l
th
ou
g
h
NO
MA
s
c
he
m
e
i
m
prov
es
the
p
erf
or
m
an
c
e
of
c
og
ni
t
i
v
e
r
ad
i
o
ne
t
w
ork
,
i
t
i
s
at
the
c
os
t
of
i
nc
r
e
as
i
ng
t
he
c
om
pl
ex
i
t
y
of
s
ec
on
da
r
y
us
er
r
ec
ei
v
er.
A
t
hi
g
h
Cons
eq
ue
nt
l
y
,
de
s
i
g
ni
n
g
a
pr
op
er
v
al
u
e
f
or
the
pa
r
am
ete
r
thr
es
ho
l
d
S
NR
c
an
ac
h
i
e
v
e
t
he
v
a
l
ue
s
of
the
thres
ho
l
d
S
NRs
1
an
d
2
,
th
e
s
y
s
t
em
m
ee
ts
o
uta
g
e
e
v
en
t.
T
he
tr
a
de
of
f
be
t
w
ee
n
the
pe
r
f
orm
an
c
e
ga
i
n
a
nd
t
he
r
eq
u
i
r
ed
tr
a
ns
m
i
t
S
NR
o
f
s
ec
on
d
ar
y
us
ers
.
T
hi
s
i
s
du
e
to
t
he
f
ac
t
tha
t t
he
r
e
i
s
m
ore po
w
er f
or tr
an
s
m
i
tte
r
to
i
m
prov
e t
h
e
ou
ta
ge
b
eh
a
v
i
or at
th
e
r
ec
e
i
v
er.
F
i
gu
r
e
4.
O
ut
ag
e
prob
ab
i
l
i
t
y
of
D1
v
ers
us
1
as
v
ar
y
i
n
g
S
NR
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
◼
Coop
erati
v
e
un
de
r
l
ay
c
og
n
i
ti
v
e rad
i
o
as
s
i
s
ted
NO
MA
:
s
ec
on
da
r
y
ne
twork
… (
D
i
n
h
-
T
hu
an
Do
)
2153
F
i
gu
r
e
5.
O
ut
ag
e
prob
ab
i
l
i
t
y
of
D2
v
ers
us
2
as
v
ar
y
i
n
g
S
NR
5
. Con
clus
ion
In
th
i
s
w
ork
,
w
e
s
t
ud
i
ed
t
h
e
do
wnl
i
nk
NO
MA
pro
bl
em
f
or
NO
MA
-
ba
s
e
d
c
o
gn
i
ti
v
e
r
ad
i
o
ne
t
w
ork
.
T
he
s
ec
on
da
r
y
n
et
w
ork
pe
r
f
or
m
s
the
r
es
ou
r
c
e
al
l
oc
ati
on
of
po
w
er
wi
th
ac
c
ep
t
ab
l
e
ou
ta
ge
p
erf
or
m
an
c
e.
T
he
tr
an
s
m
i
t
S
NR,
th
e
thres
h
ol
d
da
t
a
r
at
es
are
m
ai
n
i
m
pa
c
ts
on
o
uta
ge
pe
r
f
or
m
an
c
e.
S
i
m
ul
ati
on
r
e
s
ul
ts
de
m
on
s
tr
ate
d
th
at
th
e
propos
e
d
s
y
s
tem
i
m
prov
e
the
s
pe
c
tr
u
m
ef
f
i
c
i
en
c
y
s
i
gn
i
f
i
c
an
t
l
y
.
Ref
er
en
ce
s
[1
]
Z
Din
g
,
Z
Y
a
n
g
,
P
Fa
n
,
HV
Po
o
r
.
O
n
th
e
p
e
r
fo
rm
a
n
c
e
o
f
n
o
n
-
o
rth
o
g
o
n
a
l
m
u
l
t
i
p
l
e
a
c
c
e
s
s
i
n
5
G
s
y
s
te
m
s
w
i
th
ra
n
d
o
m
l
y
d
e
p
l
o
y
e
d
u
s
e
rs
.
IEEE
Si
g
n
a
l
Pro
c
e
s
s
.
L
e
tt
.
2
0
1
4
;
21
(
12
):
1
5
0
1
–
1
5
0
5
.
[2
]
Din
h
-
T
h
u
a
n
D
o
,
Chi
-
B
a
o
L
e
.
Ap
p
l
i
c
a
ti
o
n
o
f
NO
M
A
i
n
W
i
re
l
e
s
s
Sy
s
te
m
w
i
th
W
i
r
e
l
e
s
s
Po
w
e
r
T
ra
n
s
fe
r
Sc
h
e
m
e
:
O
u
t
a
g
e
a
n
d
Er
g
o
d
i
c
Cap
a
c
i
ty
Pe
rfo
r
m
a
n
c
e
An
a
l
y
s
i
s
.
Se
n
s
o
r
s
.
2
0
1
8
;
1
8
(
10
):
3
5
0
1
.
[3
]
Din
h
-
T
h
u
a
n
Do,
H
-
S
Ngu
y
e
n
,
M
Vo
z
n
a
k
,
T
-
S.
Ngu
y
e
n
.
W
i
r
e
l
e
s
s
p
o
w
e
re
d
re
l
a
y
i
n
g
n
e
tw
o
rk
s
u
n
d
e
r
i
m
p
e
r
fe
c
t
c
h
a
n
n
e
l
s
ta
te
i
n
fo
r
m
a
ti
o
n
:
s
y
s
te
m
p
e
rfo
r
m
a
n
c
e
a
n
d
o
p
t
i
m
a
l
p
o
l
i
c
y
fo
r
i
n
s
ta
n
t
a
n
e
o
u
s
ra
t
e
.
Rad
i
o
e
n
g
i
n
e
e
ri
n
g
.
2
0
1
7
;
26
(
3
):
869
-
8
7
7
.
[4
]
X
-
X
Ngu
y
e
n
,
Din
h
-
T
h
u
a
n
Do
.
M
a
x
i
m
u
m
Harv
e
s
t
e
d
En
e
rg
y
Po
l
i
c
y
i
n
Fu
l
l
-
Dup
l
e
x
R
e
l
a
y
i
n
g
Net
w
o
rk
s
w
i
th
S
W
IPT
.
In
te
rn
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
Com
m
u
n
i
c
a
ti
o
n
Sy
s
te
m
s
(
W
i
l
e
y
)
.
2
0
1
7
;
30
(
17
)
2
0
1
7
.
[5
]
X
-
X
Ngu
y
e
n
,
Din
h
-
T
h
u
a
n
Do
.
O
p
ti
m
a
l
p
o
w
e
r
a
l
l
o
c
a
ti
o
n
a
n
d
t
h
ro
u
g
h
p
u
t
p
e
rfo
r
m
a
n
c
e
o
f
fu
l
l
-
duplex
DF
re
l
a
y
i
n
g
n
e
tw
o
rk
s
w
i
th
w
i
re
l
e
s
s
p
o
w
e
r
tra
n
s
fe
r
-
a
w
a
re
c
h
a
n
n
e
l
.
EUR
ASIP
J
o
u
rn
a
l
o
n
W
i
re
l
e
s
s
Com
m
u
n
i
c
a
ti
o
n
s
a
n
d
Ne
two
r
k
i
n
g
.
2
0
1
7
;
152
:
1
-
1
6
.
[6
]
KT
Ngu
y
e
n
,
Din
h
-
T
h
u
a
n
Do,
X
X
Ngu
y
e
n
,
NT
Ngu
y
e
n
,
D
H
Ha
.
Wi
re
l
e
s
s
i
n
fo
rm
a
t
i
o
n
a
n
d
p
o
we
r
tra
n
s
f
e
r
fo
r
fu
l
l
d
u
p
l
e
x
re
l
a
y
i
n
g
n
e
tw
o
rk
s
:
p
e
rfo
rm
a
n
c
e
a
n
a
l
y
s
i
s
.
i
n
Pro
c
.
o
f
R
e
c
e
n
t
Ad
v
a
n
c
e
s
i
n
El
e
c
tr
i
c
a
l
En
g
i
n
e
e
ri
n
g
a
n
d
Re
l
a
te
d
S
c
i
e
n
c
e
s
(AET
A 2
0
1
5
)
,
H
C
M
C, Vi
e
tn
a
m
.
2
0
1
5
;
53
-
62
.
[7
]
T
-
L
Ngu
y
e
n
,
Din
h
-
T
h
u
a
n
Do
.
Ex
p
l
o
i
ti
n
g
Im
p
a
c
t
s
o
f
In
t
e
rc
e
l
l
In
te
r
fe
re
n
c
e
o
n
S
W
I
P
T
-
a
s
s
i
s
t
e
d
Non
-
o
rth
o
g
o
n
a
l
M
u
l
ti
p
l
e
A
c
c
e
s
s
.
Wi
re
l
e
s
s
Com
m
u
n
i
c
a
ti
o
n
s
a
n
d
M
o
b
i
l
e
Com
p
u
ti
n
g
.
2
0
1
8
;
2
0
1
8
:
1
-
12.
[8
]
T
-
L
Ngu
y
e
n
,
Din
h
-
T
h
u
a
n
Do
.
Po
w
e
r
a
l
l
o
c
a
ti
o
n
s
c
h
e
m
e
s
fo
r
w
i
re
l
e
s
s
p
o
w
e
re
d
NO
M
A
s
y
s
te
m
s
w
i
t
h
i
m
p
e
r
fe
c
t
CSI:
An
a
p
p
l
i
c
a
t
i
o
n
i
n
m
u
l
ti
p
l
e
a
n
t
e
n
n
a
–
b
a
s
e
d
re
l
a
y
.
In
te
rn
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Com
m
u
n
i
c
a
ti
o
n
S
y
s
te
m
s
.
2
0
1
8
;
31
(
15
).
[9
]
K
T
o
u
rk
i
,
H
-
C
Y
a
n
g
,
M
-
S
Al
o
u
i
n
i
.
‘
Ac
c
u
ra
te
o
u
t
a
g
e
a
n
a
l
y
s
i
s
o
f
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