T
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Co
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ntr
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l
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l.
19
,
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.
1
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Feb
r
u
ar
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2
0
2
1
,
p
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~2
6
I
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First Gr
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1
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Sa
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Feb
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2
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2
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ev
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ste
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p
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s
:
Fu
ll
-
d
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p
lex
N
on
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ltip
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s
T
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an
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n
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s
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tio
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T
h
is i
s
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ss
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u
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CC B
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SA
li
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A
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Do
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m
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r
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&
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in
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T
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Du
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T
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U
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ity
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C
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C
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,
Vietn
am
E
m
ail:
d
o
d
in
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t
h
u
an
@
td
tu
.
ed
u
.
v
n
1.
I
NT
RO
D
UCT
I
O
N
No
n
-
o
r
th
o
g
o
n
al
m
u
ltip
le
ac
ce
s
s
(
NOM
A)
is
k
n
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wn
as
a
p
r
o
m
is
in
g
ca
n
d
id
ate
p
r
o
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id
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ab
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o
f
m
u
ltip
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ac
ce
s
s
to
m
ass
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s
er
s
in
n
ex
t
g
en
er
atio
n
co
m
m
u
n
icatio
n
s
[
1
-
4
]
.
T
h
e
h
ig
h
er
t
h
e
s
p
ec
tr
al
ef
f
icien
cy
an
d
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n
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ar
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b
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ial
f
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m
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p
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g
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A
in
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in
g
wir
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co
m
m
u
n
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n
n
etwo
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k
s
.
NOM
A
tech
n
iq
u
e
h
as
b
ee
n
in
d
icate
d
th
at
it
is
ca
p
ab
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o
f
co
m
b
in
in
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with
m
a
n
y
wir
el
ess
co
m
m
u
n
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n
tech
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iq
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to
it
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s
u
p
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s
p
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tr
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icien
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,
an
d
e
n
h
a
n
cin
g
th
e
s
y
s
tem
p
er
f
o
r
m
an
c
e.
Fo
r
ex
am
p
le,
th
e
tech
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iq
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e
o
f
co
o
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er
ativ
e
tr
an
s
m
is
s
io
n
ap
p
lied
to
g
eth
er
with
NOM
A
is
s
u
itab
le
with
a
m
u
lti
-
u
s
er
en
v
ir
o
n
m
en
t
[
5
-
1
0
]
.
T
h
er
e
f
o
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e,
th
e
co
o
p
e
r
ativ
e
tr
an
s
m
is
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r
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ca
n
im
p
r
o
v
e
th
e
co
m
m
u
n
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n
r
eliab
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y
f
o
r
th
e
u
s
er
s
wh
o
ar
e
in
p
o
o
r
ch
a
n
n
els [
1
1
-
1
7
]
.
B
esid
es
NOM
A,
m
u
ltip
le
-
in
p
u
t
m
u
ltip
le
-
o
u
tp
u
t
(
MI
MO
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tech
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o
lo
g
y
b
en
ef
its
n
etwo
r
k
r
eliab
ilit
y
an
d
ca
p
ac
ity
[
1
8
,
1
9
]
.
Ho
wev
e
r
,
t
h
e
co
m
p
u
tatio
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co
m
p
lex
ity
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o
f
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MI
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NOM
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s
ch
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ce
m
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le
an
ten
n
as
r
esu
lt
in
th
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in
cr
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ed
co
s
t
[
2
0
]
.
T
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tr
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s
m
it
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ten
n
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s
elec
tio
n
(
T
AS)
h
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ap
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as
a
p
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ac
tical
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to
av
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th
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im
u
lt
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s
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m
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ten
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as
[
2
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]
.
T
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au
th
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s
in
[
2
2
]
in
d
icate
d
t
h
at
T
AS
tech
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iq
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f
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ity
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.
T
AS
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d
NOM
A
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in
tr
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d
u
ce
d
in
r
ec
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t
p
ap
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s
[
2
3
-
2
5
]
.
Fo
r
e
x
am
p
le,
NOM
A
was
s
tu
d
ied
in
[
2
3
]
b
y
em
p
lo
y
in
g
t
r
an
s
m
it
an
ten
n
a
s
elec
tio
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(
T
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at
th
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b
ase
Statio
n
to
s
h
o
w
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u
tag
e
p
er
f
o
r
m
an
ce
f
o
r
d
o
wn
lin
k
.
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
:
1
9
-
26
20
No
tatio
n
:
T
h
e
cu
m
u
lativ
e
d
is
tr
ib
u
tio
n
f
u
n
ctio
n
o
f
a
r
e
al
-
v
alu
ed
r
an
d
o
m
v
ar
iab
le
is
d
en
o
te
d
b
y
(
.
)
an
d
(
.
)
s
tan
d
s
f
o
r
p
r
o
b
a
b
ilit
y
d
en
s
ity
f
u
n
ctio
n
s
.
(
.
)
is
p
r
o
b
a
b
ilit
y
f
u
n
ctio
n
.
2.
SYST
E
M
M
O
D
E
C
o
n
s
id
er
a
d
o
wn
lin
k
o
f
n
etwo
r
k
as
s
h
o
wn
in
Fig
u
r
e
1
.
T
h
e
b
ase
s
tatio
n
(
B
S)
eq
u
ip
p
ed
m
an
y
an
ten
n
as
to
im
p
r
o
v
e
p
e
r
f
o
r
m
an
ce
o
f
f
a
r
u
s
er
s
,
i.e
.
two
NOM
A
u
s
er
s
.
I
n
th
is
ca
s
e,
m
ain
o
b
ject
o
f
th
is
p
ap
er
is
f
u
ll
-
d
u
p
le
x
(
FD)
m
o
d
e
is
en
ab
led
at
two
NOM
A
u
s
er
s
(
,
=
{
1
,
2
}
)
wh
ich
o
p
er
at
e
in
d
ev
ice
-
to
-
d
ev
ice
(
D2
D
)
,
two
NOM
A
u
s
er
s
ca
n
co
m
m
u
n
ic
ate
d
ir
ec
tly
with
o
u
t
h
elp
in
g
o
f
th
e
B
S
wh
ich
h
as
K
an
ten
n
as.
T
h
e
co
m
p
lex
ch
an
n
el
co
ef
f
icien
ts
f
o
r
th
e
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k
s
→
1
,
→
2
,
11
DD
→
,
2
→
2
,
2
→
1
,
1
→
2
ar
e
r
ep
r
esen
ted
by
|
ℎ
,
1
|
2
∼
(
0
,
1
)
,
|
ℎ
,
2
|
2
∼
(
0
,
2
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,
|
1
|
2
∼
(
0
,
3
)
,
|
2
|
2
∼
(
0
,
4
)
,
|
1
|
2
∼
(
0
,
5
)
,
|
2
|
2
∼
(
0
,
6
)
,
r
esp
ec
tiv
ely
.
Fu
r
th
er
,
in
th
is
s
ce
n
ar
io
NOM
A
u
s
er
s
ar
e
d
o
u
b
le
-
an
ten
n
a
d
ev
ices
an
d
o
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e
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ate
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a
FD m
o
d
e,
ex
ce
p
t f
o
r
th
e
B
S e
q
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ip
p
ed
m
u
ltip
le
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ten
n
a
.
T
h
e
d
ir
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t lin
k
s
b
etwe
en
th
e
s
o
u
r
ce
n
o
d
e
an
d
th
e
u
s
er
s
ar
e
ass
u
m
ed
av
ailab
le
wh
ich
is
co
m
m
o
n
in
th
e
s
ce
n
ar
io
s
wh
er
e
two
NOM
A
u
s
er
s
ac
q
u
ir
e
d
ev
ice
to
d
ev
ice
tr
an
s
m
is
s
io
n
.
W
e
a
s
s
u
m
e
th
at
all
u
s
e
r
s
ar
e
clu
s
ter
ed
v
er
y
clo
s
e
s
u
ch
th
at
a
h
o
m
o
g
en
eo
u
s
n
etwo
r
k
to
p
o
lo
g
y
is
co
n
s
id
er
ed
in
o
u
r
p
a
p
er
.
T
h
e
ch
an
n
els
ass
o
ciate
d
with
ea
ch
lin
k
ex
h
ib
it
R
ay
leig
h
f
ad
i
n
g
an
d
ad
d
itiv
e
wh
ite
Gau
s
s
ian
n
o
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ite
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,
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d
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er
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ess
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iv
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y
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T
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is
ex
p
r
ess
ed
as
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N
:
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6
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6
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at
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.
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ased
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m
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y
Evaluation Warning : The document was created with Spire.PDF for Python.
T
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,
2
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2
2
1
4
2
2
6
2
2
4
6
6
1
1
e
x
p
1
e
x
p
.
K
k
D
k
K
k
OP
k
k
−
=
=
−
−
−
+
−
−
+
(
1
8
)
4.
T
H
E
I
M
P
E
RF
E
C
T
SI
C
AT
USE
R
2
C
o
n
v
er
s
ely
,
b
y
co
n
s
id
er
in
g
im
p
er
f
ec
t SI
C
,
th
e
r
ec
eiv
e
d
SIN
R
s
at
b
o
th
2
D
b
ec
o
m
e:
2
,
=
2
|
ℎ
,
2
|
2
1
|
ℎ
̃
,
1
|
2
+
|
2
|
2
+
1
(
1
9
)
wh
er
e
ℎ
̃
,
1
∼
(
0
,
7
)
,
an
d
th
e
p
ar
am
eter
(
0
≤
≤
1
)
d
en
o
tes
th
e
lev
el
o
f
r
esid
u
al
in
te
r
f
er
en
ce
b
ec
au
s
e
o
f
SIC
im
p
e
r
f
ec
tio
n
at
u
s
er
2
.
As
a
p
ar
ticu
lar
ca
s
e,
=
0
an
d
=
1
r
e
p
r
esen
t
p
e
r
f
ec
t
SIC
an
d
with
o
u
t
SIC
,
r
esp
ec
tiv
ely
.
T
h
e
o
u
tag
e
p
r
o
b
ab
ilit
y
th
e
u
s
er
2
is
g
iv
e
n
b
y
(
)
(
)
(
)
(
)
(
)
12
2
2
,
*
2
2
,
*
2
2
2
,
*
2
2
Pr
m
a
x
,
Pr
,
Pr
Pr
.
ip
ip
D
S
D
k
D
i
ip
S
D
k
D
i
ip
S
D
k
D
i
OP
=
=
=
(
2
0
)
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
:
1
9
-
26
24
Fro
m
(
2
2
)
,
1
is
g
iv
en
b
y
(
)
(
)
(
)
(
)
2
2
2
2
*
,
1
*
,
2
2
2
*
,
1
2
1
2
2
1
*
,
2
2
21
00
2
1
1
Pr
1
1
1
.
k
k
k
k
l
h
h
a
h
l
h
a
a
x
y
F
f
x
d
x
f
y
d
y
a
++
=
−
++
=
−
−
(
2
1
)
Fro
m
(
8
)
,
1
ca
n
b
e
ex
p
r
ess
ed
(
)
(
)
(
)
2
2
1
11
7
4
2
2
21
00
2
2
7
4
2
2
11
7
4
2
2
21
22
1
1
1
e
x
p
e
x
p
e
x
p
e
x
p
1
1
1
e
x
p
e
x
p
KK
kn
kn
KK
kn
kn
KK
k
n
kn
a
k
a
x
y
n
x
y
d
x
d
y
a
KK
k
n
kn
a
ka
n
a
+−
==
+−
==
=
−
−
−
+
−
−
−
=
−
−
−
−
+
(
)
2
00
7
2
2
4
2
2
2
2
2
2
11
2
1
7
2
2
2
4
2
2
2
2
1
e
x
p
1
1
e
x
p
.
KK
kn
kn
k
x
d
x
y
d
y
a
KK
n
a
a
k
kn
k
a
a
k
a
a
+−
==
−+
=
−
−
−
++
(
2
2
)
2
is
ca
lcu
lated
as
2
.
Fro
m
(
1
7
)
a
n
d
(
2
2
)
,
2
is
g
iv
en
b
y
(
)
2
2
2
2
2
2
2
11
2
1
7
2
2
2
4
2
2
2
2
6
2
2
4
6
6
1
1
e
x
p
1
e
x
p
.
KK
kn
ip
D
kn
KK
n
a
a
k
OP
kn
k
a
a
k
a
a
+−
==
=
−
−
−
++
−
−
+
(
2
3
)
5.
NUM
E
RIC
AL
R
E
SU
L
T
S
I
n
th
is
s
ec
tio
n
,
n
u
m
er
ical
e
x
a
m
p
les
ar
e
p
er
f
o
r
m
ed
to
v
er
if
y
th
e
o
u
tag
e
p
er
f
o
r
m
a
n
ce
o
f
t
h
e
d
o
wn
lin
k
m
u
ltip
le
-
in
p
u
t
-
s
in
g
le
-
o
u
tp
u
t
(
MI
SO)
NOM
A
n
etwo
r
k
u
n
d
er
R
ay
leig
h
f
ad
in
g
ch
a
n
n
els
with
FD
s
ch
em
e
.
Mo
r
eo
v
er
,
Mo
n
te
-
C
ar
lo
s
im
u
l
atio
n
is
r
u
n
in
1
0
6
tim
es
to
c
o
m
p
a
r
e
with
a
n
aly
tical
r
esu
lts
as
p
r
o
v
e
d
f
o
r
m
u
la
p
r
esen
ted
in
p
r
ev
io
u
s
s
ec
tio
n
.
I
n
T
ab
le
1
as
s
h
o
wn
in
s
im
u
lat
io
n
p
ar
am
ete
r
s
.
I
n
Fig
u
r
e
2
,
th
e
o
u
tag
e
p
r
o
b
a
b
ilit
y
v
er
s
u
s
tr
an
s
m
it
SNR
a
t
th
e
B
S
is
p
r
esen
ted
in
d
if
f
er
en
t
p
o
wer
allo
ca
tio
n
p
ar
am
eter
s
.
W
e
d
is
tan
ce
b
etwe
en
B
S
an
d
,
(
=
1
,
2
)
is
i
d
,
ch
an
n
el
g
ain
=
−
,
1
=
0
.
5
,
2
2
R
=
,
th
e
n
u
m
b
er
o
f
an
ten
n
a
at
B
S
is
=
2
.
As
clea
r
o
b
s
er
v
atio
n
,
th
e
ex
ac
t
an
aly
tical
r
esu
lts
a
n
d
s
im
u
latio
n
r
esu
lts
ar
e
in
ex
ce
llen
t
ag
r
ee
m
en
t,
a
n
d
s
u
ch
o
u
tag
e
p
r
o
b
ab
ilit
y
will
b
e
co
n
s
tan
t
at
h
ig
h
-
SNR
r
eg
im
es.
Mo
r
eo
v
e
r
,
as
th
e
tr
an
s
m
i
t
SNR
i
n
cr
ea
s
es,
th
e
o
u
tag
e
p
r
o
b
a
b
ilit
y
d
ec
r
ea
s
es
An
o
th
er
im
p
o
r
tan
t o
b
s
er
v
atio
n
is
th
at
th
e
o
u
tag
e
p
r
o
b
ab
ilit
y
f
o
r
2
o
u
tp
er
f
o
r
m
s
User
1
.
Fig
u
r
e
3
s
h
o
ws
o
u
tag
e
p
e
r
f
o
r
m
an
ce
f
o
r
u
s
er
1
.
T
h
e
p
ar
am
e
ter
s
f
o
r
th
is
ca
s
e
1
=
0
.
7
,
2
=
2
,
=
2
.
I
t
ca
n
b
e
s
ee
n
th
at
lo
wer
tar
g
et
r
ate
1
R
r
esu
lts
in
b
etter
o
u
tag
e
p
er
f
o
r
m
an
ce
.
I
n
Fig
u
r
e
4
,
th
e
o
u
tag
e
p
r
o
b
ab
ilit
ies
ar
e
s
h
o
wn
as
a
f
u
n
ctio
n
o
f
th
e
tr
an
s
m
it
SNR
.
R
ep
o
r
ted
f
r
o
m
th
e
im
p
ac
t
o
f
tar
g
et
r
ate
2
,
th
er
e
is
a
d
ec
r
ea
s
e
in
o
u
tag
e
p
r
o
b
ab
i
lity
f
o
r
s
u
ch
u
s
er
as
ch
an
g
e
t
o
lo
wer
lev
el
o
f
2
T
h
is
F
ig
u
r
e
r
e
q
u
ir
es
s
ev
er
al
p
ar
am
eter
s
as
1
=
0
.
7
,
1
=
0
.
5
,
=
2
.
Fig
u
r
e
5
p
lo
ts
th
e
o
u
tag
e
p
r
o
b
ab
ilit
y
v
er
s
u
s
SNR
wi
th
th
e
d
if
f
er
en
t
n
u
m
b
er
o
f
tr
an
s
m
it
an
ten
n
a
at
th
e
B
S
(
o
th
er
p
ar
am
eter
s
as
d
ec
lar
atio
n
s
in
Fig
u
re
5
as
1
=
0
.
7
,
1
=
0
.
5
,
2
=
2
.
Mo
r
e
a
n
ten
n
a
at
th
e
B
S
in
d
icate
s
b
etter
o
u
t
ag
e
p
r
o
b
ab
ilit
y
i
n
s
u
c
h
NOM
A.
=
5
ca
s
e
is
b
est p
er
f
o
r
m
a
n
ce
as im
p
o
r
tan
t
o
b
s
er
v
atio
n
i
n
th
is
s
tu
d
y
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
P
erfo
r
ma
n
ce
o
f d
o
w
n
lin
k
N
OMA
w
ith
mu
ltip
le
a
n
ten
n
a
b
a
s
e
s
ta
tio
n
.
.
.
(
Min
h
-
S
a
n
g
V
a
n
)
25
T
ab
le
1
.
Simu
latio
n
p
ar
am
eter
s
[
2
8
]
P
a
r
a
me
t
e
r
V
a
l
u
e
N
o
d
e
d
i
s
t
a
n
c
e
s
1
,
2
,
r
e
sp
e
c
t
i
v
e
l
y
0
.
4
,
0
.
2
P
a
t
h
l
o
ss
e
x
p
o
n
e
n
t
2
P
o
w
e
r
a
l
l
o
c
a
t
i
o
n
f
a
c
t
o
r
s
1
0
.
6
,
0
.
7
,
0
.
8
3
=
4
=
7
,
5
=
6
0
.
0
1
,
1
O
u
t
a
g
e
t
h
r
e
s
h
o
l
d
1
;
2
(
0
.
2
,
0
.
5
)
;
(
1
,
2
)
N
u
mb
e
r
o
f
a
n
t
e
n
n
a
2
,
5
Tr
a
n
sm
i
t
S
N
R
0
t
o
4
0
d
B
Fig
u
r
e
2
.
Ou
ta
g
e
p
er
f
o
r
m
a
n
ce
o
f
,
(
=
1
,
2
)
an
d
OM
A
v
er
s
u
s
as v
ar
y
in
g
1
.
Fig
u
r
e
3
.
Ou
ta
g
e
p
er
f
o
r
m
a
n
ce
o
f
1
D
as v
ar
y
in
g
1
R
.
Fig
u
r
e
4
.
Ou
ta
g
e
p
er
f
o
r
m
a
n
ce
o
f
2
v
er
s
u
s
as v
ar
y
in
g
2
.
Fig
u
r
e
5
.
Ou
ta
g
e
p
er
f
o
r
m
a
n
ce
o
f
1
an
d
2
as v
ar
y
in
g
K
.
6.
CO
NCLU
SI
O
N
T
h
is
p
ap
er
in
v
esti
g
ated
a
n
aly
t
ically
th
e
im
p
ac
t
o
f
r
esid
u
al
i
n
ter
f
er
en
ce
d
u
e
to
f
u
ll
-
d
u
p
lex
s
ch
em
e
o
n
u
s
er
s
in
d
o
w
n
lin
k
o
f
NOM
A.
C
lo
s
ed
-
f
o
r
m
a
n
aly
tical
ex
p
r
ess
io
n
s
f
o
r
t
h
e
o
u
tag
e
p
r
o
b
ab
ilit
y
wer
e
o
b
tain
ed
.
Ou
r
th
eo
r
etica
l
an
aly
s
is
in
d
icate
d
th
at
th
e
o
u
tag
e
p
e
r
f
o
r
m
an
ce
i
s
o
n
ly
s
ig
h
tly
d
eg
r
ad
ed
b
y
r
e
s
id
u
al
in
ter
f
er
en
ce
r
elate
d
to
FD
m
o
d
e
b
u
t
o
th
er
w
is
e
th
e
o
u
tag
e
p
er
f
o
r
m
a
n
ce
lo
s
s
ca
n
b
e
v
er
y
s
u
b
s
tan
tial
as
ch
an
g
in
g
th
e
n
u
m
b
er
o
f
tr
an
s
m
it
an
ten
n
as
at
th
e
B
S
.
Fu
r
th
er
m
o
r
e,
we
o
b
s
er
v
ed
th
at
tar
g
et
r
ates
h
av
e
s
m
all
im
p
ac
t
o
n
s
u
ch
o
u
tag
e
p
er
f
o
r
m
an
ce
.
RE
F
E
R
E
NC
E
S
[1
]
D.
-
T.
Do
a
n
d
M
.
-
S
.
Va
n
N
g
u
y
e
n
,
“
De
v
ice
-
to
-
d
e
v
ice
tran
sm
issio
n
m
o
d
e
s
in
NO
M
A
n
e
two
rk
wit
h
a
n
d
wit
h
o
u
t
wire
les
s p
o
we
r
tran
sfe
r
,
”
Co
mp
u
t
e
r Co
mm
u
n
ica
t
io
n
s
,
v
o
l.
1
3
9
,
p
p
.
6
7
-
7
7
,
M
a
y
2
0
1
9
.
[2
]
D.
-
T.
Do
,
M
.
Va
e
z
i
,
T.
-
L
.
Ng
u
y
e
n
,
“
Wi
re
les
s
p
o
we
re
d
c
o
o
p
e
ra
ti
v
e
r
e
lay
in
g
u
sin
g
NO
M
A
wit
h
Im
p
e
rf
e
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),
Ab
u
Dh
a
b
i
,
UAE
,
S
e
p
tem
b
e
r
2
0
1
8
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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6
9
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l.
19
,
No
.
1
,
Feb
r
u
ar
y
2
0
2
1
:
1
9
-
26
26
[3
]
D.
-
T.
Do
,
A.
-
T.
Le
,
“
NO
M
A
b
a
s
e
d
c
o
g
n
it
i
v
e
re
lay
in
g
:
Tra
n
sc
e
iv
e
r
h
a
rd
wa
re
imp
a
irme
n
ts,
re
lay
se
l
e
c
ti
o
n
p
o
li
c
ies
a
n
d
o
u
tag
e
p
e
rfo
rm
a
n
c
e
c
o
m
p
a
ris
o
n
,”
C
o
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
.
[4
]
D.
-
T.
Do
,
A.
-
T.
Le
a
n
d
B.
-
M
.
Lee
,
“
On
p
e
rfo
rm
a
n
c
e
a
n
a
ly
sis
o
f
u
n
d
e
rlay
c
o
g
n
it
iv
e
ra
d
io
-
a
wa
re
h
y
b
ri
d
OMA/NOMA
n
e
two
rk
s wit
h
imp
e
rfe
c
t
C
SI
,”
El
e
c
tro
n
ics
,
v
o
l.
8
,
n
o
.
7
,
J
u
ly
2
0
1
9
.
[5
]
X.
Li
,
W.
X
u
,
Z.
F
e
n
g
,
X.
Li
n
,
a
n
d
J.
Li
n
,
“
M
a
tch
i
n
g
-
t
h
e
o
r
y
-
b
a
se
d
sp
e
c
tru
m
u
ti
l
iza
ti
o
n
in
c
o
g
n
it
iv
e
NO
M
A
-
OFDM
sy
ste
m
s
,
”
Pro
c
.
IEE
E
W
ire
les
s Co
mm
u
n
.
Ne
tw.
Co
n
f.
(W
CNC)
,
M
a
rc
h
2
0
1
7
.
[6
]
F
.
Z
h
o
u
,
Z
.
Ch
u
,
H
.
S
u
n
,
a
n
d
W.
C.
M
.
Leu
n
g
,
“
Re
so
u
rc
e
a
ll
o
c
a
ti
o
n
f
o
r
se
c
u
re
M
IS
O
-
NO
M
A
c
o
g
n
it
iv
e
ra
d
io
s
re
l
y
in
g
o
n
S
WI
P
T
,”
Pro
c
.
IE
EE
In
t.
C
o
n
f
.
Co
mm
u
n
.
,
K
a
n
s
a
s Cit
y
,
M
a
y
2
0
1
8
.
[7
]
D.
T.
Do
,
A.
T.
Le,
C.
-
B.
Le an
d
B.
M
.
Lee
, “
On
e
x
a
c
t
o
u
ta
g
e
a
n
d
th
ro
u
g
h
p
u
t
p
e
rf
o
rm
a
n
c
e
o
f
c
o
g
n
it
iv
e
ra
d
io
b
a
se
d
non
-
o
rt
h
o
g
o
n
a
l
m
u
lt
i
p
le ac
c
e
ss
n
e
two
rk
s with
a
n
d
with
o
u
t
D2
D
li
n
k
,
”
S
e
n
so
rs
,
v
o
l
.
1
9
,
n
o
.
1
5
,
2
0
1
9
.
[8
]
D.
-
T.
Do
a
n
d
C
.
-
B.
Le
,
“
Ap
p
l
ica
ti
o
n
o
f
NO
M
A
in
wire
les
s
sy
ste
m
with
wire
les
s
p
o
we
r
tran
sfe
r
sc
h
e
m
e
o
u
tag
e
a
n
d
e
rg
o
d
ic ca
p
a
c
it
y
p
e
rfo
rm
a
n
c
e
a
n
a
ly
sis
,”
S
e
n
s
o
rs
,
v
o
l.
1
8
,
n
o
.
1
0
,
2
0
1
8
.
[9
]
T.
-
L.
N
g
u
y
e
n
a
n
d
D
.
-
T
.
Do
,
“
Ex
p
l
o
it
i
n
g
imp
a
c
ts
o
f
in
terc
e
ll
i
n
terfe
re
n
c
e
o
n
S
WI
P
T
-
a
ss
isted
No
n
-
o
r
th
o
g
o
n
a
l
m
u
lt
ip
le ac
c
e
ss
,
”
W
ire
les
s Co
mm
u
n
ica
ti
o
n
s a
n
d
M
o
b
il
e
C
o
mp
u
ti
n
g
,
v
o
l.
2
0
1
8
,
n
o
.
1
7
,
p
p
.
1
-
1
2
,
No
v
e
m
b
e
r
2
0
1
8
.
[1
0
]
D
.
-
T.
Do
,
M
.
-
S
.
Va
n
Ng
u
y
e
n
,
T.
-
A.
Ho
a
n
g
a
n
d
M
.
Vo
z
n
a
k
,
“
NO
M
A
-
a
ss
isted
m
u
lt
ip
le
a
c
c
e
ss
sc
h
e
m
e
fo
r
Io
T
d
e
p
lo
y
m
e
n
t:
re
lay
se
lec
ti
o
n
m
o
d
e
l
a
n
d
se
c
re
c
y
p
e
rf
o
rm
a
n
c
e
imp
ro
v
e
m
e
n
t
,
”
S
e
n
so
rs
,
v
o
l.
1
9
,
n
o
.
3
,
F
e
b
ru
a
ry
2
0
1
9
.
[1
1
]
P
.
D.
Dia
m
a
n
t
o
u
la
k
is,
e
t
a
l
.
,
“
Wi
r
e
les
s
-
p
o
we
re
d
c
o
m
m
u
n
ica
ti
o
n
s
w
it
h
n
o
n
-
o
rt
h
o
g
o
n
a
l
m
u
lt
ip
le
a
c
c
e
s
s
,”
IEE
E
T
r
a
n
s.
W
ire
les
s Co
mm
u
n
,
v
o
l.
1
5
,
n
o
.
1
2
,
p
p
.
8
4
2
2
-
8
4
3
6
,
De
c
e
m
b
e
r
2
0
1
6
.
[1
2
]
Y.
Li
u
,
Z.
Din
g
,
M
.
El
k
a
sh
lan
,
H.
V.
P
o
o
r
,
“
Co
o
p
e
ra
ti
v
e
n
o
n
o
rt
h
o
g
o
n
a
l
m
u
lt
ip
le
a
c
c
e
ss
with
sim
u
lt
a
n
e
o
u
s
wire
le
ss
in
fo
rm
a
ti
o
n
a
n
d
p
o
we
r
tran
sfe
r
,
”
IEE
E
J
o
u
rn
a
l
o
n
S
e
lec
trd
Are
a
s i
n
Co
mm
u
n
ica
t
io
n
s
,
v
o
l.
3
4
,
n
o
.
4
,
Ap
ril
2
0
1
6
.
[1
3
]
Z.
Ya
n
g
,
Z
.
Di
n
g
,
P
.
F
a
n
,
N.
Al
-
Dh
a
h
ir
,
“
T
h
e
imp
a
c
t
o
f
p
o
we
r
a
l
lo
c
a
ti
o
n
o
n
c
o
o
p
e
ra
ti
v
e
n
o
n
-
o
rt
h
o
g
o
n
a
l
m
u
lt
ip
le
a
c
c
e
s
s n
e
two
rk
s wit
h
S
WI
P
T
,”
IE
EE
T
ra
n
s.
W
ire
les
s Co
mm
u
n
,
v
o
l.
1
6
,
n
o
.
7
,
Ju
l
y
2
0
1
7
.
[1
4
]
D
.
-
T.
Do
,
e
t
a
l
.
,
“
Wi
re
les
s
p
o
we
r
tran
sfe
r
e
n
a
b
led
NO
M
A
re
lay
sy
ste
m
s:
two
S
IC
m
o
d
e
s
a
n
d
p
e
rfo
rm
a
n
c
e
e
v
a
lu
a
ti
o
n
,”
T
EL
KO
M
NIKA
T
e
le
c
o
mm
u
n
ica
t
io
n
Co
m
p
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
.
6
,
p
p
.
2
6
9
7
-
2
7
0
3
,
De
c
e
m
b
e
r
2019.
[1
5
]
D.
-
T.
Do
,
C.
-
B.
Le
a
n
d
A.
-
T.
Le
,
“
Co
o
p
e
ra
ti
v
e
u
n
d
e
rlay
c
o
g
n
it
iv
e
ra
d
i
o
a
ss
isted
NO
M
A:
se
c
o
n
d
a
r
y
n
e
tw
o
r
k
imp
ro
v
e
m
e
n
t
a
n
d
o
u
tag
e
p
e
rfo
r
m
a
n
c
e
,
”
T
EL
KOM
NIKA
T
e
lec
o
mm
u
n
ica
ti
o
n
Co
m
p
u
ti
n
g
El
e
c
tro
n
ics
a
n
d
Co
n
tro
l
,
v
o
l.
1
7
,
n
o
.
5
,
p
p
.
2
1
4
7
-
2
1
5
4
,
Oc
t
o
b
e
r
2
0
1
9
.
[1
6
]
D.
-
T.
Do
a
n
d
T.
-
T.
T
h
i
Ng
u
y
e
n
,
“
Ex
a
c
t
o
u
ta
g
e
p
e
rfo
rm
a
n
c
e
a
n
a
l
y
sis
o
f
a
m
p
li
f
y
-
a
n
d
fo
rwa
rd
-
a
wa
re
c
o
o
p
e
ra
ti
v
e
NO
M
A
,
”
T
EL
KOM
NIKA
T
e
lec
o
mm
u
n
ica
ti
o
n
Co
mp
u
ti
n
g
El
e
c
tro
n
ics
a
n
d
C
o
n
tr
o
l
,
v
o
l
.
1
6
,
n
o
.
5
,
p
p
.
1
9
6
6
-
1
9
7
3
,
Oc
to
b
e
r
2
0
1
8
.
[1
7
]
D.
-
T.
Do
a
n
d
C.
-
B.
Le
,
“
Ex
p
lo
it
in
g
o
u
tag
e
p
e
rfo
rm
a
n
c
e
o
f
wire
les
s
p
o
we
re
d
NO
M
A
,”
T
EL
KOM
NIKA
T
e
lec
o
mm
u
n
ica
ti
o
n
Co
mp
u
ti
n
g
E
lec
tro
n
ics
a
n
d
C
o
n
tr
o
l
,
v
o
l
.
1
6
,
n
o
.
5
,
p
p
.
1
9
0
7
-
1
9
1
7
,
Oc
to
b
e
r
2
0
1
8
.
[1
8
]
G
.
J.
F
o
sc
h
in
i
a
n
d
M
.
J.
G
a
n
s
,
“
On
li
m
it
s o
f
wire
les
s
c
o
m
m
u
n
ica
ti
o
n
s
i
n
a
fa
d
in
g
e
n
v
iro
n
m
e
n
t
w
h
e
n
u
si
n
g
m
u
lt
i
p
l
e
a
n
ten
n
a
s
,”
W
ire
les
s P
e
rs
.
Co
mm
u
n
,
v
o
l.
6
,
n
o
.
3
,
p
p
.
3
1
1
-
3
3
5
,
1
9
9
8
.
[1
9
]
I.
E.
Tela
tar
,
“
Ca
p
a
c
it
y
o
f
m
u
lt
i
-
a
n
ten
n
a
G
a
u
ss
ian
c
h
a
n
n
e
ls
,”
Eu
r.
T
ra
n
s.
T
e
lec
o
mm
u
n
,
v
o
l.
1
0
,
n
o
.
6
,
p
p
.
5
8
5
-
5
9
5
,
1
9
9
9
.
[2
0
]
S
.
S
a
n
a
y
e
i
,
A.
N
o
sra
ti
n
ia
,
“
An
te
n
n
a
se
lec
ti
o
n
in
M
IM
O
sy
ste
m
s
,”
IEE
E
Co
mm
u
n
.
M
a
g
,
v
o
l.
4
2
,
n
o
.
1
0
,
p
p
.
6
8
-
7
3
,
Oc
t
o
b
e
r
2
0
0
4
.
[2
1
]
N.
B.
M
e
h
ta,
S
.
Ka
sh
y
a
p
,
a
n
d
A.
F
.
M
o
li
sc
h
,
“
An
ten
n
a
se
lec
ti
o
n
i
n
LT
E:
F
ro
m
m
o
ti
v
a
ti
o
n
to
s
p
e
c
ifi
c
a
ti
o
n
,”
IEE
E
Co
mm
u
n
.
M
a
g
.
M
a
g
,
v
o
l.
5
0
,
n
o
.
1
0
,
p
p
.
1
4
4
-
1
5
0
,
Oc
t
o
b
e
r
2
0
1
2
.
[2
2
]
Z.
Ch
e
n
,
J.
Yu
a
n
,
a
n
d
B
.
Vu
c
e
ti
c
,
“
An
a
ly
sis
o
f
tra
n
sm
it
a
n
ten
n
a
se
lec
ti
o
n
/ma
x
ima
l
-
ra
ti
o
c
o
m
b
i
n
i
n
g
in
Ra
y
leig
h
fa
d
in
g
c
h
a
n
n
e
ls
,”
IEE
E
T
ra
n
s.
Ve
h
.
T
e
c
h
n
o
l
,
v
o
l.
5
4
,
n
o
.
4
,
J
u
ly
2
0
0
5
.
[2
3
]
Y.
Zh
a
n
g
,
J.
G
e
,
E.
S
e
rp
e
d
in
,
“
P
e
rfo
rm
a
n
c
e
a
n
a
ly
sis
o
f
n
o
n
o
rt
h
o
g
o
n
a
l
m
u
lt
ip
le
a
c
c
e
ss
fo
r
d
o
wn
li
n
k
n
e
two
rk
s
with
a
n
ten
n
a
se
lec
ti
o
n
o
v
e
r
Na
k
a
g
a
m
i
-
m
fa
d
in
g
c
h
a
n
n
e
ls
,
”
I
EE
E
T
r
a
n
s.
Veh
.
T
e
c
h
n
o
l
,
v
o
l.
6
6
,
n
o
.
1
1
,
No
v
e
m
b
e
r
2
0
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4
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Y.
Yu
,
e
t
a
l
.,
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IEE
E
T
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a
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s.
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h
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[2
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X.
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X.
Wan
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.
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.
[2
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S
.
Lee
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t
a
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.
,
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M
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s
(
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RC)
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.
[2
7
]
J.
Xio
n
g
,
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t
a
l
.
,
“
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with
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d
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k
,”
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T
ra
n
s
.
In
f.
F
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1
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g
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.
[2
8
]
M
.
F
.
Ka
d
e
r,
e
t
a
l
.,
“
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p
lex
n
o
n
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g
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m
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lt
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sy
ste
m
s
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IEE
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ti
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Veh
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p
.
5
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3
1
-
5
8
4
0
.
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