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In
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1
1
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5
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cc
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Ra
p
id
d
e
v
e
lo
p
m
e
n
ts
in
m
o
d
e
rn
w
irele
ss
c
o
m
m
u
n
ica
ti
o
n
p
e
rm
it
t
h
e
trad
e
o
f
sp
e
c
tru
m
s
c
a
rc
it
y
.
Hi
g
h
e
r
d
a
ta
ra
te
a
n
d
w
id
e
r
b
a
n
d
w
id
th
e
m
e
rg
e
th
e
d
e
v
e
lo
p
m
e
n
t
in
g
ro
w
in
g
d
e
m
a
n
d
o
f
w
irel
e
ss
c
o
m
m
u
n
ica
ti
o
n
sy
ste
m
.
T
h
e
in
n
o
v
a
ti
v
e
so
lu
t
io
n
f
o
r
th
e
sp
e
c
tru
m
sc
a
r
c
it
y
is
c
o
g
n
it
iv
e
ra
d
io
(CR)
.
Co
g
n
it
iv
e
ra
d
io
is
t
h
e
sig
n
if
ica
n
t
tec
h
n
o
lo
g
y
u
se
d
to
u
ti
li
z
e
t
h
e
sp
e
c
tru
m
e
ffe
c
ti
v
e
l
y
.
T
h
e
i
m
p
o
rtan
t
a
sp
e
c
t
o
f
CR
is
se
n
sin
g
th
e
s
p
e
c
tru
m
b
a
n
d
a
n
d
d
e
tec
ts
th
e
p
re
se
n
c
e
o
r
a
b
se
n
c
e
o
f
th
e
p
rim
a
r
y
u
se
r
in
th
e
l
ice
n
se
d
b
a
n
d
.
M
o
re
o
v
e
r,
a
n
o
t
h
e
r
se
rio
u
s
issu
e
in
n
e
x
t
g
e
n
e
ra
ti
o
n
(5
G
)
w
ir
e
les
s
c
o
m
m
u
n
ica
ti
o
n
is
to
d
e
c
id
e
t
h
e
les
s
c
o
m
p
lex
5
G
w
a
v
e
f
o
r
m
c
a
n
d
i
d
a
te
f
o
r
a
c
h
iev
in
g
h
ig
h
e
r
d
a
ta
ra
te,
lo
w
lat
e
n
c
y
a
n
d
b
e
tt
e
r
sp
e
c
tral
e
ff
ici
e
n
c
y
.
Un
iv
e
rsa
l
f
il
tere
d
m
u
lt
i
-
c
a
rrier
(UFM
C)
is
o
n
e
o
f
th
e
n
o
ti
c
e
a
b
le
w
a
v
e
f
o
r
m
c
a
n
d
id
a
tes
f
o
r
5
G
a
n
d
it
s
a
p
p
li
c
a
ti
o
n
s.
In
th
is
a
rti
c
le,
w
e
in
v
e
stig
a
te
th
e
sp
e
c
tru
m
se
n
sin
g
m
e
th
o
d
s
in
m
u
lt
i
-
c
a
rrier
tran
sm
issio
n
f
o
r
c
o
g
n
it
iv
e
ra
d
io
n
e
tw
o
rk
a
p
p
li
c
a
ti
o
n
s.
Esp
e
c
ially
,
we
in
teg
ra
te
th
e
se
n
sin
g
a
l
g
o
rit
h
m
in
to
UFM
C
tran
sc
e
iv
e
r
to
a
n
a
l
y
z
e
th
e
sp
e
c
tral
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ff
i
c
ien
c
y
,
h
ig
h
e
r
d
a
ta
ra
tes
a
n
d
s
y
ste
m
c
o
m
p
lex
it
y
.
T
h
ro
u
g
h
th
e
sim
u
latio
n
re
su
lt
s,
w
e
p
ro
v
e
th
a
t
th
e
UFM
C
b
a
se
d
c
o
g
n
it
iv
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ra
d
io
a
p
p
li
c
a
ti
o
n
s
o
u
tp
e
rf
o
rm
th
e
e
x
isti
n
g
Orth
o
g
o
n
a
l
F
re
q
u
e
n
c
y
Div
isio
n
M
u
lt
ip
lex
in
g
(OFDM
)
b
a
se
d
CR ap
p
li
c
a
ti
o
n
s.
K
ey
w
o
r
d
s
:
5
G
m
o
b
ile
co
m
m
u
n
icatio
n
C
o
g
n
iti
v
e
r
ad
i
o
I
OT
A
Mu
lti
-
ca
r
r
ier
m
o
d
u
latio
n
UFMC
Co
p
y
rig
h
t
©
2
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1
9
I
n
stit
u
te o
f
Ad
v
a
n
c
e
d
E
n
g
i
n
e
e
rin
g
a
n
d
S
c
ien
c
e
.
Al
l
rig
h
ts re
se
rv
e
d
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
R
.
Da
y
a
n
a
,
Dep
ar
t
m
en
t o
f
E
lectr
o
n
ics a
n
d
C
o
m
m
u
n
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io
n
E
n
g
i
n
ee
r
in
g
,
SR
M
I
n
s
tit
u
te
o
f
Sc
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a
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T
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h
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Kattan
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lath
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C
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ai,
T
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u
,
I
n
d
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m
ail:
d
a
y
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n
a.
r
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k
tr
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s
r
m
u
n
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v
.
ac
.
in
1.
I
NT
RO
D
UCT
I
O
N
An
ex
p
lo
s
i
v
e
g
r
o
w
t
h
i
n
w
ir
el
ess
co
m
m
u
n
icatio
n
f
o
cu
s
es
o
n
d
esig
n
i
n
g
th
e
ap
p
r
o
p
r
iate
w
a
v
e
f
o
r
m
.
T
h
e
p
r
im
ar
y
g
o
al
o
f
5
G
is
n
o
n
-
o
r
t
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g
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w
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attr
ac
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s
t
h
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atte
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tio
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o
f
i
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d
u
s
tr
ies,
s
tan
d
ar
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izatio
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b
o
d
ies
an
d
a
lo
t
o
f
r
esear
ch
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co
m
m
u
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ities
.
T
h
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r
eq
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ite
f
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5
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r
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to
p
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a
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d
h
ig
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p
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f
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I
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r
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en
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y
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s
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v
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m
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o
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ates
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ad
b
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f
o
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th
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im
p
r
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m
e
n
t
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h
ig
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er
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ata
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ate,
lo
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c
y
,
h
ig
h
m
o
b
ilit
y
a
n
d
b
etter
s
p
ec
tr
u
m
r
eu
s
e
[
1
]
.
UFMC
is
o
n
e
o
f
t
h
e
s
u
i
tab
le
5
G
n
o
n
-
o
r
th
o
g
o
n
al
w
a
v
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f
o
r
m
ca
n
d
id
ates
w
h
o
co
m
p
r
is
e
th
e
f
ea
tu
r
es
o
f
f
ilter
ed
OFD
M
an
d
f
ilter
b
an
k
m
u
lti
-
ca
r
r
ier
(
FB
MC).
5
G
w
a
v
ef
o
r
m
ca
n
d
id
ates
o
f
f
er
b
est
lo
ca
lizatio
n
o
f
f
r
eq
u
e
n
c
y
an
d
ti
m
e
to
f
ix
w
it
h
d
iv
er
s
e
ap
p
licatio
n
s
li
k
e
t
h
e
m
ac
h
i
n
e
to
m
ac
h
in
e
co
m
m
u
n
icatio
n
(
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,
I
n
ter
n
et
o
f
T
h
i
n
g
s
(
I
o
T
)
,
m
il
l
i
m
eter
w
a
v
e
co
m
m
u
n
icatio
n
[
2
-
4
]
an
d
co
g
n
iti
v
e
r
ad
io
n
et
w
o
r
k
ap
p
licati
o
n
s
.
T
h
e
p
r
esen
t
ce
ll
u
lar
co
m
m
u
n
icat
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n
et
w
o
r
k
s
w
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w
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in
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ased
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M
m
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ltic
ar
r
ier
m
o
d
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latio
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tec
h
n
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lo
g
y
[
5
-
7
]
.
E
v
en
th
o
u
g
h
it
h
elp
s
f
o
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th
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c
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r
r
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ap
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p
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an
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w
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I
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lead
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th
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s
y
s
te
m
to
s
p
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tr
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in
ef
f
icie
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T
o
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u
ch
a
s
ce
n
ar
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n
ex
t
-
g
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n
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m
o
b
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co
m
m
u
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tio
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i
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p
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v
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b
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a
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n
o
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-
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g
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ca
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d
id
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w
it
h
co
g
n
iti
v
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r
ad
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ap
p
licatio
n
s
,
ie,
UFMC
-
C
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.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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&
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I
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N:
2088
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8708
Mo
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tech
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f
o
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t
o
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s
p
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f
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c
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[
8
]
.
I
n
w
h
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h
,
th
e
a
v
ailab
le
s
p
ec
tr
u
m
s
ar
e
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e
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ted
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s
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w
it
h
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u
t
ca
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s
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ter
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ce
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h
o
r
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b
u
r
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m
m
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s
[
9
]
.
Sp
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m
o
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in
C
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n
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m
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ar
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s
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[
1
0
]
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Ou
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all
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s
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n
e
o
f
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h
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e
s
i
g
n
al
at
lo
w
p
o
w
er
.
R
est
o
f
t
h
e
p
ap
er
h
as
b
ee
n
o
r
g
an
ized
as
f
o
llo
w
s
.
Sectio
n
2
ex
p
lain
s
t
h
e
asp
ec
t
o
f
UFMC
5
G
w
a
v
e
f
o
r
m
ca
n
d
id
ate.
Sect
io
n
I
I
I
g
iv
e
s
t
h
e
o
p
er
atio
n
o
f
C
o
g
n
i
tiv
e
R
ad
io
Net
w
o
r
k
.
Secti
o
n
I
V
d
is
c
u
s
s
es
t
h
e
f
u
n
ctio
n
o
f
p
r
o
p
o
s
ed
C
R
e
n
h
an
ce
d
5
G
s
y
s
te
m
m
o
d
el.
Sect
io
n
V
e
x
p
lain
s
t
h
e
s
i
m
u
latio
n
r
esu
lt
s
an
d
Sectio
n
VI
co
n
clu
d
es t
h
e
w
o
r
k
.
2.
UNIV
E
RSA
L
F
I
L
T
E
R
E
D
M
UL
TI
-
CARR
I
E
R
5
G
WA
VE
F
O
RM
CAND
I
DAT
E
5
G
w
ir
eless
s
y
s
te
m
s
an
d
ce
ll
u
lar
n
et
w
o
r
k
s
ar
e
t
h
e
f
u
t
u
r
e
s
co
p
es
o
f
te
leco
m
m
u
n
icat
io
n
s
ta
n
d
ar
d
s
a
w
a
y
f
r
o
m
th
e
e
x
is
t
in
g
3
G,
4
G
L
o
n
g
T
er
m
E
v
o
lu
tio
n
(
L
T
E
)
p
r
in
cip
les.M
u
lticar
r
ier
s
y
s
t
e
m
s
u
p
p
o
r
ts
h
ig
h
er
d
ata
r
ate
th
a
n
t
h
e
co
n
v
e
n
tio
n
al
m
o
d
u
latio
n
m
et
h
o
d
s
.
Di
v
er
s
e
w
av
e
f
o
r
m
ca
n
d
id
ates
p
r
o
p
o
s
ed
f
o
r
th
e
5
G
p
latf
o
r
m
[
1
1
]
.
T
h
o
u
g
h
v
ar
iet
y
o
f
s
u
g
g
e
s
tio
n
s
to
w
ar
d
s
t
h
e
n
ex
t
g
en
er
atio
n
n
et
w
o
r
k
s
a
m
o
n
g
t
h
e
m
,
o
n
e
o
f
t
h
e
ad
m
ir
ed
w
a
v
e
f
o
r
m
ca
n
d
id
ates
is
U
FMC
.
I
t
i
s
t
h
e
r
estr
u
ct
u
r
ed
ad
ap
tatio
n
o
f
OF
D
M
s
y
s
te
m
w
i
th
th
e
f
ea
t
u
r
e
s
o
f
FB
MC
[
1
2
-
1
4
]
.
T
h
e
UFMC
s
y
s
te
m
e
x
ec
u
tes
s
u
b
-
b
a
n
d
f
ilter
i
n
g
s
u
b
-
ca
r
r
ier
m
o
d
u
lati
o
n
.
H
(
Z
)
u
n
i
v
er
s
al
f
ilter
d
o
es
Su
b
-
b
an
d
f
ilter
i
n
g
.
I
t
also
ca
r
r
ies
o
u
t
s
er
ial
to
p
ar
allel
co
n
v
er
s
io
n
o
f
in
p
u
t
s
eq
u
en
ce
x
(
k
)
.
T
h
e
f
u
ll
b
an
d
is
d
iv
i
d
ed
in
to
'm
’
n
u
m
b
er
o
f
S
u
b
-
b
an
d
s
an
d
t
h
e
n
g
iv
e
n
i
n
to
d
o
w
n
s
a
m
p
ler
.
Do
w
n
s
a
m
p
lin
g
i
s
to
r
ed
u
c
e
th
e
s
y
s
te
m
co
m
p
le
x
it
y
b
ec
au
s
e
it
s
u
p
p
o
r
ts
Fa
s
ter
-
T
h
a
n
-
N
y
q
u
is
t
(
FT
N)
f
i
lter
in
g
.
I
t
al
s
o
u
s
ed
f
o
r
s
h
o
r
t
b
u
s
t
co
m
m
u
n
icatio
n
.
I
t d
ec
r
ea
s
es l
aten
c
y
to
o
.
C
o
n
v
en
t
io
n
al
UFM
C
s
y
s
te
m
is
i
m
p
le
m
e
n
ted
u
s
i
n
g
FI
R
f
ilter
.
I
n
w
h
ich
p
r
io
r
k
n
o
w
le
d
g
e
o
f
th
e
in
f
o
r
m
atio
n
r
eq
u
ir
ed
f
o
r
th
e
r
ec
eiv
er
.
I
t
m
a
y
r
ad
iate
th
e
s
i
g
n
al
i
n
th
e
o
u
t
o
f
b
an
d
(
OOB
)
.
B
ec
au
s
e
o
f
th
a
t
in
ter
-
ca
r
r
ier
i
n
ter
f
er
en
ce
(
I
C
I
)
an
d
i
n
ter
-
s
y
m
b
o
l
i
n
ter
f
er
en
ce
(
I
SI)
is
i
n
tr
o
d
u
ce
d
i
n
to
t
h
e
m
ess
a
g
e.
T
o
co
n
q
u
er
s
u
c
h
p
r
o
b
lem
I
s
o
tr
o
p
ic
Or
th
o
g
o
n
al
T
r
an
s
f
o
r
m
A
l
g
o
r
ith
m
(
I
OT
A
)
p
r
o
to
ty
p
e
f
ilter
is
u
s
e
d
[
1
5
]
.
I
t
ac
h
iev
es
ti
m
e
an
d
f
r
eq
u
e
n
c
y
lo
ca
lizati
o
n
at
th
e
tr
an
s
m
itter
s
tag
e
it
s
elf
.
P
ass
b
an
d
ad
j
u
s
t
m
e
n
t
in
f
ilter
r
ed
u
ce
s
OOB
r
ad
i
atio
n
,
I
C
I
,
an
d
I
SI.
Fig
u
r
e
1
.
P
r
o
p
o
s
ed
I
O
T
A
-
UF
MC T
r
an
s
ce
iv
er
b
lo
ck
d
iag
r
a
m
Fig
u
r
e.
1
d
escr
ib
es
t
h
e
p
r
o
p
o
s
ed
UFMC
b
lo
ck
d
iag
r
a
m
b
y
u
s
in
g
I
OT
A
p
r
o
to
ty
p
e
f
il
ter
.
T
h
e
d
as
h
ed
-
d
o
t
lin
es
r
ep
r
esen
t
th
e
p
r
o
p
o
s
ed
w
o
r
k
o
f
th
e
s
y
s
te
m
.
I
OT
A
f
ilter
ac
h
ie
v
es
m
ax
i
m
u
m
p
er
m
is
s
ib
le
p
ass
b
an
d
p
u
ls
e
s
h
ap
in
g
[
1
6
]
.
T
r
an
s
m
itte
d
s
ig
n
a
l o
f
UFM
C
s
y
s
te
m
e
x
p
r
ess
ed
as,
(
1
)
Evaluation Warning : The document was created with Spire.PDF for Python.
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SS
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s
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201
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In
(
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,
‘
m’
r
ep
r
esen
t
a
s
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ca
r
r
ier
in
d
ex
,
‘
n
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r
ep
r
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t
t
i
m
e
i
n
d
ex
s
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g
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m
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eter
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ase
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eq
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ti
m
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p
ac
in
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o
f
d
ata
s
y
m
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A
t
th
e
r
ec
ei
v
er
,
f
r
eq
u
en
c
y
d
o
m
ai
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p
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ce
s
s
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g
a
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d
eq
u
aliza
tio
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is
p
er
f
o
r
m
ed
b
y
FDE.
T
h
e
o
u
tp
u
t o
f
FDE
i
s
t
h
e
est
i
m
ated
s
y
m
b
o
ls
.
3.
CO
G
NI
T
I
VE
RA
DIO
NE
T
WO
RK
S
Fo
r
th
e
ac
h
ie
v
e
m
e
n
t
o
f
m
o
s
t
p
o
p
u
lar
an
d
d
if
f
er
en
t
asp
ec
ts
o
f
n
e
x
t
-
g
e
n
er
atio
n
w
ir
eles
s
co
m
m
u
n
icatio
n
s
y
s
te
m
s
,
co
g
n
itiv
e
r
ad
io
is
t
h
e
cr
it
ical
tec
h
n
o
lo
g
y
to
u
ti
lize
t
h
e
a
v
ailab
le
w
ir
ele
s
s
n
et
w
o
r
k
s
.
C
R
N
is
th
e
n
o
v
e
l
tec
h
n
o
lo
g
y
to
i
m
p
r
o
v
e
t
h
e
s
p
ec
tr
al
e
f
f
icie
n
c
y
an
e
n
o
r
m
o
u
s
l
y
.
T
h
e
p
r
i
m
ar
y
tar
g
et
o
f
C
R
i
s
to
d
is
co
v
er
th
e
u
n
o
cc
u
p
ied
s
p
ec
tr
u
m
a
n
d
ad
ap
tiv
el
y
as
s
i
g
n
i
t
to
th
e
co
g
n
iti
v
e
u
s
er
s
[
1
7
]
.
Hen
ce
,
th
e
co
m
p
let
e
s
p
ec
tr
u
m
i
s
ef
f
ec
t
iv
el
y
u
tili
ze
d
.
T
h
is
k
i
n
d
o
f
u
t
ilizatio
n
lea
d
s
th
e
s
y
s
te
m
t
o
w
ar
d
s
th
e
g
r
e
en
co
m
m
u
n
icat
io
n
.
I
t
av
o
id
s
t
h
e
w
a
s
tag
e
o
f
s
p
ec
tr
u
m
.
T
h
i
s
tec
h
n
o
lo
g
y
p
r
o
te
cts
t
h
e
n
ex
t
g
e
n
er
atio
n
w
ir
el
ess
s
y
s
te
m
s
f
r
o
m
s
p
ec
tr
al
w
ar
m
i
n
g
.
Sp
ec
tr
al
w
ar
m
i
n
g
i
s
t
h
e
n
e
w
ter
m
p
r
o
p
o
s
ed
f
r
o
m
t
h
e
n
a
m
e
o
f
g
lo
b
al
w
ar
m
i
n
g
.
Glo
b
al
w
ar
m
i
n
g
d
ef
in
ed
as
t
h
e
o
b
s
er
v
ed
te
m
p
er
atu
r
e
ch
a
n
g
e
s
d
u
e
to
th
e
cl
i
m
ate
c
h
an
g
es
a
n
d
th
e
i
n
cr
ea
s
ed
lev
el
o
f
C
O2
.
I
n
th
e
s
a
m
e
w
a
y
,
s
p
ec
tr
al
w
ar
m
i
n
g
i
s
d
ee
m
ed
as
th
e
i
n
cr
ea
s
in
g
s
p
ec
tr
al
in
te
n
s
i
t
y
at
t
h
e
m
o
s
t
p
o
p
u
lated
ar
ea
in
an
o
t
h
er
w
a
y
p
o
o
r
s
p
ec
tr
a
l
in
te
n
s
i
t
y
at
r
u
r
al
ar
ea
.
I
t
m
a
y
lead
th
e
g
eo
-
lo
ca
tio
n
t
o
w
ar
d
s
t
h
e
s
p
ec
tr
al
w
ar
m
i
n
g
.
C
R
N
is
o
n
e
o
f
th
e
b
est
s
o
lu
tio
n
s
f
o
r
estab
lis
h
in
g
g
r
ee
n
co
m
m
u
n
ica
tio
n
i
n
w
ir
eless
s
y
s
te
m
s
.
T
h
e
p
r
in
cip
al
f
u
n
ct
io
n
o
f
C
R
is
s
e
n
s
i
n
g
t
h
e
s
p
ec
tr
u
m
w
h
o
le
a
n
d
allo
ca
ti
n
g
i
t
to
t
h
e
s
ec
o
n
d
ar
y
u
s
er
'
s
on
-
d
e
m
an
d
b
asi
s
.
Sen
s
i
n
g
i
s
t
h
e
cr
u
cial
p
ar
a
m
e
ter
in
C
R
[
1
8
]
.
T
h
e
m
o
s
t
d
esire
d
s
p
ec
tr
u
m
s
e
n
s
i
n
g
m
eth
o
d
is
c
y
clo
-
s
tatio
n
ar
y
f
ea
tu
r
e
d
etec
t
io
n
(
C
FD)
.
C
R
s
p
ec
tr
u
m
s
e
n
s
i
n
g
r
eq
u
ir
es
th
e
in
v
e
n
tiv
e
m
et
h
o
d
to
p
r
o
g
r
ess
th
e
m
ea
s
u
r
ed
s
i
g
n
a
l
f
r
o
m
t
h
e
p
h
y
s
ical
la
y
er
an
d
to
p
r
o
ce
s
s
t
h
e
r
ec
eiv
ed
s
ig
n
al
w
h
ile
tr
an
s
m
i
s
s
io
n
to
an
ap
p
licatio
n
la
y
e
r
.
T
h
e
co
n
v
en
tio
n
al
w
a
y
o
f
s
e
n
s
in
g
is
e
n
er
g
y
b
ased
s
en
s
in
g
.
I
n
t
h
is
m
et
h
o
d
,
n
o
n
ee
d
s
f
o
r
p
r
io
r
in
f
o
r
m
at
io
n
f
o
r
p
r
o
ce
s
s
in
g
r
ec
eiv
ed
an
d
tr
an
s
m
itted
s
ig
n
al
[
1
9
]
.
T
o
im
p
le
m
en
t
C
F
D,
t
h
e
s
y
s
te
m
r
eq
u
ir
es
p
ar
tial
p
r
i
o
r
k
n
o
w
led
g
e
ab
o
u
t
th
e
T
r
an
s
-
r
ec
ei
v
ed
s
ig
n
al.
I
n
th
e
co
n
v
en
t
io
n
al
m
et
h
o
d
,
th
e
s
ig
n
al
o
f
i
n
ter
est
(
So
I
)
is
d
i
f
f
icu
l
t
to
s
eg
r
e
g
ate
f
r
o
m
t
h
e
n
o
is
e
s
i
g
n
al
at
lo
w
s
ig
n
a
l
to
n
o
is
e
r
atio
(
SNR
)
.
B
u
t,
in
C
FD,
So
I
ca
n
b
e
s
ep
ar
a
b
le
f
r
o
m
t
h
e
n
o
i
s
e
s
ig
n
al
at
p
o
o
r
SNR
lev
el.
B
e
ca
u
s
e
o
f
s
a
v
i
n
g
s
i
g
n
al
p
o
w
er
C
FD
is
o
n
e
o
f
th
e
ad
v
i
s
ab
le
s
p
ec
tr
u
m
s
e
n
s
i
n
g
m
et
h
o
d
s
[
2
0
].
T
h
e
s
u
b
ca
r
r
ier
s
ig
n
al
s
ar
e
p
r
o
ce
s
s
ed
b
y
th
e
s
p
ec
tr
al
co
r
r
elatio
n
.
T
h
e
p
o
w
er
s
p
ec
tr
al
co
m
p
o
n
e
n
t
s
ar
e
th
e
f
ea
tu
r
e
s
o
f
r
ec
eiv
ed
co
m
p
o
n
e
n
ts
,
i.e
.
,
it
m
a
y
b
e
s
a
m
p
li
n
g
p
er
io
d
o
r
f
r
eq
u
en
c
y
,
r
ate
,
p
r
ea
m
b
le,
a
p
r
ef
i
x
o
f
th
e
s
i
g
n
a
l,
en
co
d
in
g
i
n
f
o
r
m
atio
n
,
etc.
T
h
e
r
ec
eiv
ed
s
ig
n
al
s
(
t)
is
p
r
o
ce
s
s
ed
b
y
t
h
e
au
to
co
r
r
elatio
n
.
Fro
m
au
to
co
r
r
el
atio
n
r
es
u
lt,
t
h
e
s
p
ec
tr
al
co
r
r
elatio
n
f
u
n
ctio
n
is
ab
s
o
r
b
ed
.
I
t is g
iv
e
n
b
y
,
(
2
)
(
3
)
w
h
er
e
‘
α
’
r
ep
r
esen
ts
t
h
e
c
y
c
lic
f
r
eq
u
en
c
y
co
m
p
o
n
e
n
t
o
f
a
r
ec
eiv
ed
s
ig
n
al.
T
h
i
s
tec
h
n
o
lo
g
y
p
er
m
its
t
h
e
s
h
ar
i
n
g
o
f
t
h
e
licen
s
ed
b
an
d
w
ith
o
th
er
u
n
lice
n
s
ed
u
s
er
s
w
it
h
o
u
t
ca
u
s
i
n
g
i
n
ter
f
er
e
n
ce
s
.
T
h
e
n
ex
t
s
ec
tio
n
d
escr
ib
es
th
e
C
R
en
h
a
n
ce
d
5
G
w
a
v
e
f
o
r
m
s
y
s
te
m
m
o
d
el
to
w
ar
d
s
g
r
ee
n
co
m
m
u
n
icatio
n
t
o
i
m
p
r
o
v
e
s
p
ec
tr
al
ef
f
icien
c
y
b
y
r
ed
u
ci
n
g
th
e
s
p
ec
tr
al
w
ar
m
in
g
.
4.
SYST
E
M
M
O
DE
L
-
CR
E
N
H
ANCED 5
G
T
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
m
o
d
el
C
R
en
h
a
n
ce
d
5
G
w
a
v
ef
o
r
m
ca
n
d
id
ates
UFMC
is
i
m
p
le
m
e
n
te
d
w
ith
t
h
e
s
o
cial
asp
ec
ts
.
Var
io
u
s
ap
p
licatio
n
s
o
f
t
h
is
s
y
s
te
m
lis
ted
as
s
ec
u
r
e
c
y
b
er
co
m
m
u
n
ica
tio
n
,
p
u
b
lic
s
a
f
et
y
co
m
m
u
n
icatio
n
-
e
m
er
g
e
n
c
y
c
o
m
m
u
n
icatio
n
,
b
io
m
ed
ical
ap
p
licatio
n
s
,
m
ac
h
i
n
e
-
to
-
m
ac
h
i
n
e
co
m
m
u
n
icatio
n
an
d
clo
u
d
co
m
p
u
ti
n
g
I
OT
[
2
1
].
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8708
Mo
d
ified
is
o
tr
o
p
ic
o
r
th
o
g
o
n
a
l
tr
a
n
s
fo
r
m
a
lg
o
r
ith
m
-
u
n
ivers
a
l filter
ed
mu
ltica
r
r
ier
(
R
.
Da
ya
n
a
)
3103
Fig
u
r
e
2
Sh
o
w
s
t
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
m
o
d
el
o
f
C
R
en
h
a
n
c
ed
I
OT
A
-
UFM
C
tr
an
s
ce
i
v
er
.
I
n
th
e
C
R
s
y
s
te
m
,
t
w
o
d
i
f
f
er
en
t
u
s
er
s
in
v
o
lv
ed
i
n
th
e
p
r
o
ce
s
s
n
a
m
el
y
licen
s
ed
a
n
d
u
n
lice
n
s
ed
u
s
er
.
T
h
e
p
er
f
o
r
m
an
ce
an
al
y
s
is
o
f
C
R
is
e
v
alu
a
ted
b
y
t
w
o
f
ac
to
r
s
.
1.
T
h
e
p
r
o
b
ab
ilit
y
o
f
d
etec
tio
n
(
P
D)
r
ep
r
esen
ts
t
h
e
p
r
esen
ce
o
f
licen
s
ed
u
s
er
s
at
t
h
e
licen
s
ed
b
an
d
.
2.
T
h
e
p
r
o
b
a
b
ilit
y
o
f
f
al
s
e
alar
m
(
P
F)
in
d
icate
s
t
h
e
p
r
ese
n
ce
o
f
lice
n
s
ed
u
s
er
s
w
h
en
lice
n
s
ed
u
s
er
s
ar
e
n
o
t
av
ai
lab
le
at
th
e
l
icen
s
ed
b
an
d
.
Fig
u
r
e
2.
P
r
o
p
o
s
ed
s
y
s
te
m
m
o
d
el
-
C
R
en
h
an
ce
d
I
OT
A
-
UF
MC tr
an
s
ce
iv
er
b
lo
ck
d
iag
r
a
m
C
R
s
y
s
te
m
p
er
f
o
r
m
an
ce
i
s
r
i
g
h
t
i
f
t
h
e
p
r
o
b
ab
ilit
y
o
f
d
etec
tio
n
is
as
h
i
g
h
a
s
p
o
s
s
ib
le
w
h
ile
t
h
e
p
r
o
b
a
b
ilit
y
o
f
f
alse
alar
m
i
s
as
lo
w
a
s
p
o
s
s
ib
le.
T
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
s
ca
n
i
m
p
r
o
v
e
t
h
e
i
n
-
b
a
n
d
f
u
ll
d
u
p
le
x
co
m
m
u
n
icatio
n
,
s
u
i
tab
le
w
a
v
e
f
o
r
m
d
esi
g
n
f
o
r
5
G
an
d
th
e
s
p
ec
tr
u
m
e
x
te
n
s
io
n
.
L
et
‘
ts
’
is
t
h
e
av
ai
lab
le
s
en
s
in
g
ti
m
e,
‘
M
’
is
th
e
to
tal
n
u
m
b
er
o
f
s
am
p
le
s
an
d
’
λ
’
i
s
th
e
d
etec
tio
n
th
r
es
h
o
ld
u
s
ed
i
n
th
e
d
ec
i
s
io
n
d
ev
ice
f
o
r
d
ec
id
in
g
h
y
p
o
t
h
esi
s
H0
o
r
H1
.
Fo
r
th
e
th
r
es
h
o
ld
λ
,
th
e
p
r
o
b
ab
ilit
y
o
f
d
etec
tio
n
is
g
iv
e
n
b
y
.
(
4
)
Fo
r
th
e
d
etec
tio
n
th
r
e
s
h
o
ld
,
th
e
p
r
o
b
a
b
ilit
y
o
f
f
a
ls
e
alar
m
i
s
g
iv
e
n
b
y
(
5
)
Selectio
n
o
f
d
etec
tio
n
th
r
e
s
h
o
ld
is
o
n
e
o
f
th
e
m
o
s
t
s
ig
n
i
f
ican
t
is
s
u
es
i
n
s
p
ec
tr
u
m
s
e
n
s
in
g
.
I
f
th
e
s
elec
ted
λ
is
lo
w
v
al
u
e,
th
e
n
th
e
s
y
s
te
m
u
n
d
er
g
o
es
in
to
s
p
ec
tr
u
m
h
an
d
o
f
f
o
f
te
n
.
I
f
it
is
h
i
g
h
,
t
h
en
it
lead
s
to
p
o
o
r
s
p
ec
tr
u
m
u
t
ilizatio
n
.
W
ith
th
is
s
ce
n
ar
io
,
it
is
m
u
s
t
to
s
elec
t
th
e
th
r
e
s
h
o
ld
in
o
p
ti
m
u
m
.
T
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
d
es
ig
n
w
o
r
k
ed
w
it
h
th
e
o
p
tim
al
d
ec
i
s
io
n
t
h
r
es
h
o
ld
Var
s
h
n
e
y
-
C
h
air
f
u
s
io
n
r
u
le
[
2
2
],
(
6
)
W
h
er
e,
‘
I
k
’
is
t
h
e
b
in
ar
y
d
ec
is
io
n
f
r
o
m
t
h
e
k
th
s
lo
t.
I
f
λ
≥
0
,
th
en
th
e
lice
n
s
ed
u
s
er
ap
p
ea
r
s
;
o
th
er
w
i
s
e,
th
er
e
ex
is
t
s
a
s
p
ec
tr
u
m
h
o
le.
4
.
1
.
T
ra
deo
f
f
:
s
ens
ing
t
i
m
e
-
t
hro
ug
hp
ut
Sen
s
in
g
ti
m
e
is
th
e
ter
m
to
m
ea
s
u
r
e
th
e
p
er
io
d
o
f
s
en
s
in
g
o
f
s
ec
o
n
d
ar
y
u
s
er
s
to
ac
ce
s
s
th
e
s
p
ec
tr
u
m
h
o
le.
I
t
co
n
s
i
s
ts
o
f
t
h
r
ee
s
ce
n
ar
io
s
,
i)
No
p
r
im
ar
y
u
s
er
av
ai
lab
le,
th
e
s
p
ec
tr
u
m
h
o
le
is
d
et
ec
ted
w
it
h
o
u
t
f
al
s
e
alar
m
ii).
Sp
ec
tr
u
m
h
o
les
ar
e
d
etec
ted
w
h
en
th
e
p
r
i
m
ar
y
u
s
er
s
ar
e
av
ai
lab
le
iii).
No
p
r
im
ar
y
u
s
er
p
r
esen
t,
n
o
s
p
ec
tr
u
m
h
o
le
i
s
d
etec
ted
.
T
h
e
ac
h
iev
ab
le
th
r
o
u
g
h
p
u
t
i
s
in
ter
p
r
eted
w
it
h
t
h
e
p
r
o
b
ab
il
ities
o
f
t
h
ese
t
h
r
ee
sc
en
ar
io
s
.
‘
’
r
ep
r
esen
ts
t
h
e
r
at
e
o
f
ac
h
ie
v
ab
le
th
r
o
u
g
h
p
u
t
f
o
r
th
e
s
ec
o
n
d
ar
y
u
s
er
w
it
h
r
es
p
ec
t
to
P
D,
P
F,
an
d
th
e
p
r
o
b
ab
ilit
y
o
f
m
is
s
d
et
ec
tio
n
P
MD
.
(
7
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
9
,
No
.
4
,
A
u
g
u
s
t
201
9
:
3
1
0
0
-
3
1
0
7
3104
W
e
ca
n
d
ef
in
e,
(
8
)
(
9
)
(
1
0
)
4
.
2
.
Sp
ec
t
ra
l
ef
f
iciency
a
na
ly
s
is
T
h
e
UFMC
s
y
s
te
m
b
a
n
d
w
i
d
th
is
mea
sure
d
b
y
f
f
K
B
c
)
1
(
w
h
e
r
e
f
is
t
h
e
f
r
eq
u
en
c
y
d
e
v
iatio
n
,
c
f
is
r
ep
r
esen
ted
b
y
ca
r
r
i
er
s
p
ac
in
g
o
f
ad
j
ac
en
t
ca
r
r
ier
s
,
K
-
n
u
m
b
er
o
f
s
u
b
ca
r
r
ier
s
.
Sp
ec
tr
al
ef
f
icien
c
y
f
o
r
UFMC
s
y
s
te
m
i
s
ca
lc
u
lated
b
y
s
c
T
f
M
B
R
K
M
W
h
er
e,
R
is
th
e
in
f
o
r
m
a
tio
n
r
a
te
o
f
M
n
u
m
b
er
o
f
b
it
s
p
er
s
y
m
b
o
l.
T
h
e
s
p
ec
tr
al
ef
f
icie
n
c
y
o
f
ex
i
s
tin
g
OFDM
s
y
s
te
m
is
m
ea
s
u
r
e
d
b
y
s
cp
s
c
T
f
T
f
M
,
in
w
h
ic
h
cp
f
is
th
e
c
y
clic
p
r
ef
i
x
b
an
d
.
W
h
en
co
m
p
ar
ed
w
it
h
t
h
e
ex
i
s
ti
n
g
O
FDM
s
y
s
te
m
,
o
u
r
p
r
o
p
o
s
ed
UFMC s
y
s
te
m
i
s
s
cp
T
f
ti
m
e
s
b
etter
in
s
p
ec
tr
al
ef
f
icie
n
c
y
.
5.
SI
M
UL
AT
I
O
N
R
E
S
UL
T
S
I
n
th
i
s
s
ec
t
io
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m
m
o
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el
C
R
en
h
a
n
c
ed
UFMC
tr
an
s
ce
i
v
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p
er
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m
an
ce
i
s
an
al
y
ze
d
b
y
Mo
n
te
-
C
ar
lo
s
i
m
u
latio
n
s
.
T
h
e
t
y
p
ical
s
i
m
u
latio
n
p
ar
a
m
eter
s
ar
e
lis
ted
i
n
T
ab
l
e
1.
T
ab
le
1
.
Sim
u
latio
n
p
ar
a
m
eter
s
P
a
r
a
me
t
e
r
s
N
u
mb
e
r
o
f
D
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T
(
N
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5
1
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P
r
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t
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t
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p
e
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i
l
t
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r
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F
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r
l
e
n
g
t
h
31
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mal
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d
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t
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2
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0
d
B
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d
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l
a
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t
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p
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r
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l
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d
Ex
t
r
e
me
v
a
l
u
e
d
i
st
r
i
b
u
t
i
o
n
Fig
u
r
e
3
d
ep
icts
th
e
B
E
R
Vs
SNR
p
er
f
o
r
m
a
n
ce
co
m
p
ar
is
o
n
o
f
E
x
i
s
ti
n
g
O
FDM,
UFM
C
,
FB
M
C
s
y
s
te
m
ac
h
ie
v
es
B
E
R
o
f
1
0
-
3
at
th
e
SN
R
o
f
2
4
d
B
,
1
9
.
7
d
B
,
1
2
.
5
d
B
r
esp
ec
tiv
ely
.
W
h
er
ea
s
,
p
r
o
p
o
s
ed
OFDM
-
I
OT
A
,
I
OT
A
-
UFM
C
ac
h
iev
e
s
th
e
B
E
R
o
f
1
0
-
3
at
1
5
d
B
an
d
1
3
d
B
SNR
its
el
f
.
Hen
ce
t
h
e
p
r
o
p
o
s
ed
I
O
T
A
-
UFMC s
y
s
te
m
s
av
e
s
SN
R
o
f
1
1
d
B
an
d
6
.
7
d
B
th
an
ex
is
tin
g
OFDM
an
d
UFM
C
s
y
s
te
m
r
es
p
ec
tiv
el
y
.
P
r
o
p
o
s
ed
I
O
T
A
-
U
FMC
s
y
s
te
m
i
s
e
n
h
a
n
ce
d
w
it
h
C
R
ap
p
licatio
n
.
T
h
e
cr
itical
p
ar
a
m
e
ter
o
f
C
R
i
s
s
p
ec
tr
u
m
s
en
s
i
n
g
.
C
y
clo
-
s
ta
ti
o
n
ar
y
f
ea
t
u
r
e
d
etec
tio
n
s
p
ec
tr
u
m
s
en
s
i
n
g
m
et
h
o
d
is
m
o
r
e
ex
ce
lle
n
t
th
a
n
o
th
er
s
en
s
in
g
tec
h
n
iq
u
e
s
.
C
R
ap
p
li
ca
tio
n
is
test
ed
b
y
R
ec
eiv
er
o
p
er
atin
g
c
h
ar
ac
ter
is
tic
s
(
R
OC
)
.
C
R
e
n
h
a
n
ce
d
I
OT
A
-
UFM
C
tr
a
n
s
ce
i
v
er
R
O
C
ch
ar
ac
ter
i
s
tics
s
i
m
u
lated
an
d
p
lo
tted
in
Fi
g
u
r
e
4
.
I
t
i
n
f
er
s
th
at,
at
1
5
d
B
SNR
,
if
th
e
c
h
an
n
el
s
ta
te
in
f
o
r
m
atio
n
is
n
o
t
k
n
o
w
n
to
th
e
r
ec
ei
v
er
th
en
t
h
e
p
r
o
b
ab
ilit
y
o
f
f
a
ls
e
alar
m
s
i
g
n
i
f
ica
n
tl
y
in
cr
ea
s
es
w
it
h
t
h
e
p
r
o
b
ab
ilit
y
o
f
d
etec
tio
n
.
C
h
an
n
el
s
t
ate
in
f
o
r
m
at
io
n
m
o
d
er
atel
y
s
u
p
p
o
r
ts
t
h
e
C
R
ap
p
licatio
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8708
Mo
d
ified
is
o
tr
o
p
ic
o
r
th
o
g
o
n
a
l
tr
a
n
s
fo
r
m
a
lg
o
r
ith
m
-
u
n
ivers
a
l filter
ed
mu
ltica
r
r
ier
(
R
.
Da
ya
n
a
)
3105
Fig
u
r
e
3
.
B
E
R
Vs SNR
p
er
f
o
r
m
an
ce
o
f
v
ar
io
u
s
5
G
w
a
v
e
f
o
r
m
ca
n
d
id
ates
Fig
u
r
e
4
.
R
OC
w
it
h
U
n
-
Kn
o
wn
ch
a
n
n
e
l c
o
-
e
f
f
icien
t
w
it
h
S
NR
=1
5
d
B
Fig
u
r
e
5
d
ep
icts
th
e
an
al
y
s
is
o
f
R
O
C
w
i
th
t
h
e
k
n
o
w
n
c
h
a
n
n
el
s
tate
i
n
f
o
r
m
atio
n
(
A
W
GN
)
at
1
5
d
B
SNR
.
Fo
r
th
e
1
0
%
o
f
p
r
o
b
ab
ilit
y
o
f
f
al
s
e
alar
m
,
6
2
%
8
0
%
p
r
o
b
ab
ilit
y
o
f
d
etec
tio
n
is
ac
h
ie
v
ed
u
s
i
n
g
C
R
en
h
a
n
ce
d
FB
MC
s
y
s
te
m
a
n
d
I
OT
A
-
UFM
C
s
y
s
te
m
s
r
e
s
p
ec
tiv
el
y
.
I
f
th
e
c
h
a
n
n
e
l c
h
ar
ac
ter
i
s
tics
ar
e
v
er
y
p
o
o
r
,
th
en
t
h
e
d
etec
tio
n
p
r
o
b
ab
ilit
y
o
f
FB
MC
s
y
s
te
m
is
lo
w
co
m
p
ar
ed
to
th
e
p
r
o
p
o
s
ed
I
O
T
A
-
UF
MC
s
y
s
te
m
s.
I
t
is
p
r
o
v
ed
b
y
th
e
Fi
g
u
r
e
6
e
x
is
t
in
g
an
d
p
r
o
p
o
s
ed
s
y
s
te
m
s
ar
e
test
ed
u
n
d
er
th
e
g
e
n
er
al
ized
ex
tr
e
m
e
v
al
u
e
(
GE
V)
d
is
tr
ib
u
tio
n
c
h
an
n
el
at
1
5
d
B
SNR
.
Ou
r
p
r
o
p
o
s
ed
I
OT
A
-
U
FMC
s
y
s
te
m
ac
h
iev
e
s
6
9
%
o
f
p
r
o
b
ab
ilit
y
o
f
d
etec
tio
n
w
i
th
1
0
%
o
f
p
r
o
b
ab
ilit
y
o
f
f
alse
alar
m
.
B
u
t,
FB
MC
s
y
s
te
m
ac
h
ie
v
e
s
o
n
l
y
4
2
%
o
f
d
etec
tio
n
p
r
o
b
a
b
ilit
y
.
Hen
ce
,
o
u
r
p
r
o
p
o
s
ed
I
OT
A
-
UF
MC
s
y
s
te
m
p
er
f
o
r
m
s
b
etter
t
h
an
e
x
i
s
ti
n
g
FB
MC
an
d
OF
DM
s
y
s
te
m
u
n
d
er
p
o
o
r
ch
an
n
el
s
ta
tes
.
Fig
u
r
e
5
.
R
OC
w
it
h
K
n
o
w
n
(
A
W
GN)
ch
a
n
n
el
co
-
ef
f
icie
n
t M
=3
an
d
SN
R
=1
5
d
B
Fig
u
r
e
6
.
R
OC
w
it
h
GE
V
d
is
tr
ib
u
tio
n
at
SNR
=1
5
d
B
Fig
u
r
e
7
d
escr
ib
es
t
h
e
R
O
C
o
f
C
R
e
n
h
an
ce
d
I
OT
A
-
U
FMC
s
y
s
te
m
.
E
x
i
s
ti
n
g
an
d
p
r
o
p
o
s
ed
s
y
s
te
m
s
ar
e
s
i
m
u
lated
u
s
i
n
g
th
e
p
ilo
t
s
ig
n
al
to
i
m
p
r
o
v
e
th
e
C
R
ca
p
ab
ilit
y
.
T
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
ac
h
ie
v
es
9
0
%
o
f
d
etec
tio
n
p
r
o
b
ab
ilit
y
at
1
0
%
o
f
f
alse
alar
m
w
it
h
k
n
o
w
n
c
h
an
n
el
co
-
e
f
f
icie
n
t
M=
3
at
1
5
d
B
SNR
w
i
th
th
e
p
ilo
t
s
ig
n
al.
Fi
g
u
r
e
8
s
h
o
w
s
t
h
e
th
r
o
u
g
h
p
u
t
a
n
al
y
s
i
s
o
f
C
R
s
ec
o
n
d
ar
y
u
s
er
w
h
e
n
M=
3
.
T
h
e
o
p
ti
m
u
m
s
e
n
s
i
n
g
t
i
m
e
o
f
C
R
s
y
s
te
m
is
6
m
s
.
C
o
n
c
er
n
in
g
6
m
s
,
0
.
9
3
n
o
r
m
alize
d
th
r
o
u
g
h
p
u
t
s
ar
e
ac
h
iev
ed
u
s
in
g
th
e
p
r
o
p
o
s
ed
I
OT
A
-
UFM
C
s
y
s
te
m
,
0
.
9
2
n
o
r
m
al
ized
th
r
o
u
g
h
p
u
ts
ar
e
ac
h
iev
ed
u
s
i
n
g
FB
MC
s
y
s
te
m
,
0
.
8
6
f
o
r
UFMC,
0
.
8
1
f
o
r
I
O
T
A
-
OFDM
a
n
d
0
.
7
9
f
o
r
co
n
v
en
tio
n
a
l
OFDM
s
y
s
te
m
s
.
Hen
ce
,
t
h
e
p
r
o
p
o
s
ed
I
OT
A
-
U
FMC
s
y
s
te
m
ac
h
iev
e
s
1
4
%,
7
%
an
d
1
%
im
p
r
o
v
e
m
e
n
t
s
in
t
h
r
o
u
g
h
p
u
t
co
m
p
ar
ed
to
OFDM,
UFM
C
an
d
FB
MC
s
y
s
te
m
s
r
esp
ec
tiv
el
y
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
9
,
No
.
4
,
A
u
g
u
s
t
201
9
:
3
1
0
0
-
3
1
0
7
3106
Fig
u
r
e
7
.
R
OC
o
f
C
R
e
n
h
an
ce
d
5
G
w
a
v
e
f
o
r
m
w
it
h
M=
3
,
SNR
=1
5
d
B
,
P
ilo
t sig
n
a
l
Fig
u
r
e
8
.
No
r
m
alize
d
t
h
r
o
u
g
h
p
u
t f
o
r
s
ec
o
n
d
ar
y
u
s
er
w
h
e
n
(
A
W
GN)
c
h
an
n
el
co
-
e
f
f
icien
t M
=3
R
OC
a
n
al
y
s
is
o
f
C
R
s
y
s
te
m
i
s
tab
u
lated
i
n
T
ab
le
2
A
cc
o
r
d
in
g
to
Fed
er
al
C
o
m
m
u
n
icatio
n
C
o
m
m
is
s
io
n
(
F
C
C
)
,
an
ac
ce
p
tab
le
p
r
o
b
ab
ilit
y
o
f
f
al
s
e
alar
m
is
1
0
%,
an
d
th
e
o
p
ti
m
u
m
p
r
o
b
ab
ilit
y
o
f
d
etec
tio
n
is
9
0
%.
T
h
e
p
r
o
p
o
s
ed
I
OT
A
-
UFM
C
s
y
s
te
m
ac
h
i
ev
es
9
1
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RE
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NC
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S
[
1
]
P
e
n
g
G
u
a
n
,
Da
n
W
u
,
T
in
g
ji
a
n
T
ian
,
Jia
n
w
e
i
Zh
o
u
e
t
a
l.
,
“
5G
F
ield
T
rials:
OFDM
-
Ba
se
d
W
a
v
e
f
o
r
m
s
a
n
d
M
ix
e
d
Nu
m
e
ro
lo
g
ies
,
”
IEE
E
J
o
u
rn
a
l
o
n
S
e
lec
ted
Are
a
s in
Co
mm
u
n
ica
ti
o
n
s
,
Vo
l.
3
5
,
Iss
u
e
:
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,
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a
g
e
s:
1
2
3
4
-
1
2
4
3
,
2
0
1
7
.
[2
]
S
h
e
n
d
i
W
a
n
g
,
Jo
h
n
S
.
T
h
o
m
p
so
n
e
t
a
l
.
,
“
Clo
se
d
-
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o
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E
x
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ss
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o
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s
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y
n
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ro
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s 5
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Up
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n
k
,
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E
T
ra
n
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c
ti
o
n
s
o
n
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n
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t
io
n
s,
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l.
6
5
,
No
.
1
1
,
No
v
e
m
b
e
r
2
0
1
7
.
[3
]
L
e
i
Zh
a
n
g
,
Ay
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sh
a
Ijaz
e
t
a
l
.
,
“
MU
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S
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n
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l
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ter
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n
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th
a
n
d
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d
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i
n
g
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e
n
g
th
De
sig
n
,
”
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E
C
o
mm
u
n
ic
a
ti
o
n
L
e
tt
e
rs
,
M
a
y
2
0
1
6
.
[4
]
S
.
A
b
d
e
lw
a
h
a
b
,
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Ha
m
d
a
o
u
i,
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.
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u
iza
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a
n
d
T
.
Zn
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ti
,
“
Ne
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rk
f
u
n
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ti
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irt
u
a
li
z
a
ti
o
n
in
5
G
,
”
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E
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mm
u
n
ica
ti
o
n
s M
a
g
a
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e
,
v
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l.
5
4
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o
.
4
,
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p
.
8
4
–
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1
,
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p
ril
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0
1
6
.
[5
]
L
.
Ch
iara
v
ig
li
o
,
N.
Blefa
ri
-
M
e
la
z
z
i,
e
t
a
l
.
,
“
Brin
g
in
g
5
G
in
to
ru
r
a
l
a
n
d
lo
w
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in
c
o
m
e
a
re
a
s:
Is
it
fe
a
sib
le?
”
IEE
E
Co
mm
u
n
ica
ti
o
n
s S
ta
n
d
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rd
s M
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g
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.
5
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.
2
0
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.
[6
]
T
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o
Yu
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,
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issio
n
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r
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,"
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ies
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n
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r2
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5
.
[7
]
M
it
h
u
n
M
u
k
h
e
rjee
e
t
a
l
.
,
“
R
e
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e
d
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ti
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r
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y
ste
m
s
in
5
G
,
”
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E
a
c
c
e
ss
,
2
0
1
5
.
[8
]
X
in
L
iu
,
Do
n
g
y
u
e
H
e
,
M
in
Jia
,
“
5G
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b
a
se
d
w
id
e
b
a
n
d
c
o
g
n
it
iv
e
ra
d
io
sy
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m
d
e
si
g
n
w
it
h
c
o
o
p
e
r
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ti
v
e
sp
e
c
tru
m
se
n
sin
g
,”
Ph
y
sic
a
l
Co
mm
u
n
ica
ti
o
n
,
V
o
l
.
2
5
,
p
p
.
5
3
9
–
5
4
5
,
2
0
1
7
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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ified
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sa
f
,
“
W
il
l
S
DN
b
e
p
a
rt
o
f
5
G?
,
”
IEE
E
Co
mm
u
n
ica
ti
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s
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u
rv
e
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&
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to
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]
Z.
Zh
o
u
,
D.
G
u
o
,
a
n
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.
L
.
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s
n
e
tw
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rk
s,’’
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E
T
ra
n
sa
c
ti
o
n
s
o
n
Co
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n
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a
ti
o
n
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l
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6
5
,
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o
.
4
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1
8
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5
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8
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7
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r.
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0
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1
]
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.
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n
d
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a
se
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c
o
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it
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ra
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e
tw
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rk
s,’’
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ra
n
sa
c
ti
o
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2
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K.
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.
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n
,
C.
X
i
n
g
,
J.
W
u
,
a
n
d
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F
a
n
,
“
E
n
e
rg
y
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e
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c
ien
t
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o
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r
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tro
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e
v
ice
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to
-
d
e
v
ice
c
o
m
m
u
n
ica
ti
o
n
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
4
,
n
o
.
1
2
,
p
p
.
3
2
0
8
–
3
2
2
0
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c
2
0
1
6
.
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3
]
F
e
n
g
Hu
,
Bin
g
Ch
e
n
,
Ku
n
Z
h
u
,
“
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u
ll
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p
e
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tru
m
S
h
a
rin
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Co
g
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it
iv
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rk
s
T
o
w
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rd
5
G
:
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S
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rv
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y
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”
IEE
E
A
c
c
e
s
s 2
0
1
8
.
[1
4
]
Ja
u
m
e
Rib
a
,
Jo
se
p
F
o
n
t
-
S
e
g
u
ra
,
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v
ier
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il
lar
a
n
d
G
re
g
o
ri
V
á
z
q
u
e
z
,
“
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re
q
u
e
n
c
y
-
Do
m
a
in
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tec
ti
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ry
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n
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n
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ti
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o
n
S
ig
n
a
l
Pro
c
e
ss
in
g
,
V
o
l
.
6
2
,
No
.
8
,
A
p
r.
2
0
1
4
.
[1
5
]
Ju
n
g
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o
n
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a
n
d
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e
o
n
g
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n
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h
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ra
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ten
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o
n
d
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ry
S
y
st
e
m
s,”
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E
J
o
u
rn
a
l
o
n
se
lec
ted
a
re
a
s i
n
c
o
mm
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n
ica
ti
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n
s
,
V
o
l
.
3
2
,
No
.
3
,
M
a
r.
2
0
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6
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h
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7
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8
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[1
9
]
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2
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d
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ield
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),
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sc
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g
,
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RM
Un
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rsity
,
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n
n
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.
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a
re
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o
f
in
tere
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l
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d
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sp
re
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d
sp
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tru
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tec
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n
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s,
w
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m
m
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n
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IM
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c
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m
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h
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th
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h
w
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1
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p
a
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rs
in
jo
u
rn
a
ls
a
n
d
i
n
c
o
n
f
e
re
n
c
e
s.
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