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at
in
g
m
et
h
o
d
s
n
ee
d
to
b
e
ad
ap
ti
v
e
an
d
s
el
f
-
a
w
ar
e
to
th
e
ch
a
n
g
es
i
n
t
h
e
in
ter
f
er
en
ce
.
Mo
r
eo
v
er
,
d
u
e
to
W
SN
b
ein
g
a
s
m
al
l,
e
m
b
ed
d
e
d
,
lo
w
-
p
o
w
er
n
et
w
o
r
k
,
in
ter
f
er
e
n
ce
m
iti
g
ati
n
g
m
et
h
o
d
s
n
ee
d
to
b
e
lig
h
t
w
ei
g
h
t.
2.
RE
L
AT
E
D
WO
RK
S
T
h
e
to
p
ic
o
f
in
ter
f
er
en
ce
id
en
ti
f
icatio
n
an
d
m
it
ig
at
io
n
ar
e
b
ec
o
m
in
g
p
o
p
u
lar
i
n
r
ec
en
t
y
ea
r
s
i
n
th
e
f
ield
o
f
W
SN
d
u
e
to
o
v
er
c
r
o
w
d
in
g
o
f
I
SM
b
an
d
a
n
d
in
c
r
ea
s
in
g
u
s
e
o
f
W
SN
esp
ec
ial
l
y
as
a
s
u
b
p
latf
o
r
m
f
o
r
I
o
T
ap
p
licatio
n
s
.
Di
f
f
er
en
t
in
ter
f
er
en
ce
c
lass
if
icatio
n
a
n
d
m
iti
g
atio
n
s
c
h
e
m
es
ar
e
f
o
u
n
d
in
t
h
e
l
iter
atu
r
es
.
Mo
s
t
o
f
t
h
e
m
f
o
cu
s
ed
o
n
l
y
o
n
i
n
ter
f
er
e
n
ce
cla
s
s
i
f
ica
tio
n
.
Fe
w
s
c
h
e
m
es
ar
e
f
o
u
n
d
th
at
id
en
tif
y
th
e
i
n
ter
f
er
e
n
ce
an
d
s
u
g
g
est
m
iti
g
atio
n
s
tr
ate
g
y
.
R
esear
c
h
w
o
r
k
s
i
n
[
6
-
8
]
p
r
o
p
o
s
e
alg
o
r
ith
m
s
to
id
en
t
if
y
t
y
p
e
o
f
i
n
ter
f
er
e
n
ce
.
St
u
d
ies
i
n
[
7
,
8
]
d
ec
id
e
o
n
f
ea
tu
r
e
s
o
f
in
ter
f
er
in
g
s
ig
n
al
b
y
e
v
al
u
atin
g
R
SS
I
v
al
u
es.
T
h
en
,
w
it
h
a
f
ix
ed
s
et
o
f
co
n
d
itio
n
s
,
th
e
s
i
g
n
al
i
s
clas
s
if
ie
d
as
b
lu
eto
o
th
,
W
iFi
o
r
m
icr
o
w
a
v
e
in
ter
f
er
en
ce
.
I
n
b
o
th
ca
s
es,
th
e
clas
s
if
ic
atio
n
ac
cu
r
ac
y
is
b
elo
w
9
0
%.
A
m
e
th
o
d
to
ca
lcu
late
th
e
p
er
ce
n
tag
e
o
f
th
e
in
ter
f
er
en
ce
i
n
th
e
w
ir
ele
s
s
lin
k
an
d
d
is
ta
n
ce
o
f
th
e
i
n
ter
f
er
in
g
s
o
u
r
ce
is
p
r
o
v
id
ed
i
n
[
9
]
.
I
n
ter
f
er
en
ce
id
en
ti
f
icatio
n
m
et
h
o
d
s
t
h
r
o
u
g
h
s
u
p
er
v
i
s
ed
lear
n
i
n
g
an
d
m
a
ch
in
e
lear
n
i
n
g
ar
e
p
r
o
p
o
s
ed
in
[
1
0
-
1
2
]
.
E
ac
h
o
f
th
ese
w
o
r
k
s
lack
an
ad
ap
tiv
e
m
et
h
o
d
th
at
ca
n
m
i
tig
a
te
th
e
ef
f
ec
t
o
f
th
e
i
n
ter
f
er
e
n
ce
.
W
o
r
k
in
[
1
3
]
p
r
o
p
o
s
es
a
s
ch
e
m
e
th
a
t
id
en
tifi
es
m
i
tig
atio
n
s
tr
ateg
y
w
i
th
t
h
e
h
elp
o
f
d
ec
is
io
n
tr
ee
b
u
t
d
o
es
n
o
t
i
d
en
tify
th
e
t
y
p
e
o
f
in
ter
f
er
e
n
ce
.
Au
t
h
o
r
s
i
n
[
1
4
]
p
r
o
p
o
s
e
Sp
ec
k
s
e
n
s
e,
w
h
ich
i
d
en
tifie
s
W
i
Fi,
p
er
io
d
ic
an
d
n
o
n
-
p
er
io
d
ic
tr
af
f
ic.
T
h
e
s
ch
e
m
e
also
h
elp
s
to
m
it
ig
ate
i
n
ter
f
er
en
ce
b
y
ch
a
n
n
e
l
b
l
ac
k
lis
t
in
g
.
Ho
w
e
v
er
,
th
e
s
c
h
e
m
e
is
l
i
m
ited
to
th
e
t
y
p
e
o
f
id
e
n
ti
f
ied
in
ter
f
er
e
n
ce
o
n
l
y
.
Ma
j
o
r
ity
o
f
th
e
s
e
w
o
r
k
s
f
o
u
n
d
in
t
h
e
liter
atu
r
e
u
s
e
en
er
g
y
d
etec
tio
n
(
E
D)
ap
p
r
o
ac
h
to
d
etec
t
an
d
id
en
ti
f
y
t
h
e
i
n
ter
f
er
en
ce
t
y
p
e.
E
D
ap
p
r
o
ac
h
u
s
es
r
ec
eiv
ed
s
i
g
n
al
s
tr
en
g
t
h
i
n
d
icat
o
r
(
R
SS
I
)
v
al
u
e
to
ev
alu
a
te
t
h
e
i
n
ter
f
er
e
n
ce
.
Fe
w
u
s
e
p
ac
k
et
p
r
o
b
in
g
an
d
li
n
k
q
u
ali
t
y
in
d
icato
r
(
L
QI
)
.
Mo
tiv
ated
f
r
o
m
t
h
ese
w
o
r
k
s
,
t
h
is
p
ap
er
p
r
o
p
o
s
es
a
lig
h
t
w
ei
g
h
t
i
n
ter
f
er
e
n
ce
m
iti
g
a
tio
n
s
c
h
e
m
e
to
r
ed
u
ce
t
h
e
e
f
f
ec
t
o
f
i
n
ter
f
er
en
ce
o
n
W
SN.
T
h
e
s
ch
e
m
e
is
m
ad
e
s
elf
-
a
w
ar
e
b
y
u
s
i
n
g
a
li
g
h
t
weig
h
t
f
ea
t
u
r
e
e
x
tr
ac
tio
n
m
et
h
o
d
an
d
a
ML
m
o
d
el
th
at
ca
n
e
x
tr
ac
t
f
ea
t
u
r
es o
f
i
n
t
er
f
er
ed
s
ig
n
al
an
d
id
e
n
ti
f
y
t
h
e
t
y
p
e
o
f
in
ter
f
er
en
ce
.
I
n
o
r
d
er
to
m
ak
e
t
h
e
s
c
h
e
m
e
ad
ap
tiv
e,
a
lo
o
k
-
u
p
tab
le
t
h
a
t
ch
o
o
s
es
p
ac
k
et
s
c
h
e
d
u
l
in
g
,
A
C
K
-
r
etr
an
s
m
is
s
io
n
an
d
ch
an
n
el
s
w
itc
h
in
g
a
s
co
u
n
ter
m
ea
s
u
r
es to
m
i
tig
a
te
t
h
e
d
ete
cted
in
ter
f
er
e
n
ce
is
d
ep
lo
y
ed
.
3.
B
ACK
G
RO
UND
AN
D
T
E
C
H
NO
L
O
G
I
E
S
I
N
I
SM
B
AN
D
T
h
e
w
ir
eless
m
ed
iu
m
i
s
v
u
l
n
e
r
ab
le
to
in
ter
f
er
en
ce
f
r
o
m
v
ar
i
o
u
s
s
o
u
r
ce
s
d
u
e
to
its
b
r
o
ad
ca
s
t
n
a
t
u
r
e.
T
h
ese
in
ter
f
er
en
ce
s
d
eg
r
ad
e
th
e
co
m
m
u
n
icatio
n
a
n
d
s
o
m
eti
m
e
s
e
v
en
b
lo
ck
i
t
b
y
m
a
k
in
g
it
d
i
f
f
icu
lt
f
o
r
r
ec
eiv
er
to
d
ec
o
d
e
th
e
r
ec
eiv
ed
s
i
g
n
al.
T
h
e
i
n
ter
f
er
e
n
ce
ca
n
b
e
f
r
o
m
a
s
i
m
ilar
tec
h
n
o
lo
g
y
,
d
i
f
f
er
e
n
t
tech
n
o
lo
g
y
o
p
er
atin
g
i
n
t
h
e
s
a
m
e
b
a
n
d
o
r
n
o
is
e.
Ma
n
y
r
esear
ch
h
a
v
e
b
ee
n
ca
r
r
ie
d
o
u
t
an
d
v
ar
io
u
s
m
ec
h
a
n
i
s
m
s
h
a
v
e
b
ee
n
p
r
o
p
o
s
ed
to
o
v
er
co
m
e
th
e
e
f
f
ec
t
o
f
in
ter
f
er
e
n
ce
w
ith
in
t
h
e
s
a
m
e
te
ch
n
o
lo
g
y
.
A
ll
th
e
s
e
m
ec
h
a
n
i
s
m
lac
k
th
e
ab
ilit
y
to
r
ed
u
ce
o
r
m
an
a
g
e
in
ter
f
er
en
ce
am
o
n
g
d
if
f
er
e
n
t
tech
n
o
lo
g
ie
s
as
th
e
y
h
a
v
e
b
ee
n
d
esig
n
ed
w
i
th
o
u
t
co
n
s
id
er
in
g
th
e
i
s
s
u
e
o
f
co
ex
is
te
n
ce
.
Mo
r
eo
v
er
,
it
is
p
r
o
v
en
to
b
e
d
if
f
ic
u
lt
to
h
av
e
in
ter
o
p
er
ab
le
in
ter
f
er
e
n
ce
m
i
tig
atio
n
a
m
o
n
g
v
ar
io
u
s
w
ir
e
less
tec
h
n
o
lo
g
ies
a
s
t
h
e
y
lack
t
h
e
f
ea
s
ib
ilit
y
o
f
co
m
m
u
n
ica
tio
n
a
m
o
n
g
th
e
m
s
el
v
es.
T
h
er
ef
o
r
e
,
in
ter
f
er
en
ce
m
it
ig
atio
n
f
r
o
m
d
i
f
f
er
en
t
te
ch
n
o
lo
g
ies
o
r
cr
o
s
s
tech
n
o
lo
g
y
i
n
ter
f
er
en
ce
(
C
T
I
)
m
iti
g
atio
n
i
s
b
ec
o
m
in
g
o
n
e
o
f
th
e
d
e
m
a
n
d
in
g
to
p
ics
in
c
o
m
m
u
n
icatio
n
[
1
4
]
.
T
h
e
u
n
licen
s
ed
I
SM
b
an
d
is
th
e
m
o
s
t
cr
o
w
d
ed
b
an
d
w
it
h
th
e
lar
g
e
s
t
n
u
m
b
er
o
f
d
if
f
er
en
t
tec
h
n
o
lo
g
ies
o
p
er
atin
g
in
i
t.
T
h
is
m
a
k
e
I
S
M
b
an
d
as th
e
m
o
s
t v
u
l
n
er
ab
le
b
an
d
to
C
T
I
.
3
.
1
.
I
S
M
ba
nd
t
ec
hn
o
lo
g
ies
Mic
r
o
w
a
v
e
o
v
en
h
ea
ts
f
o
o
d
b
y
c
h
an
g
i
n
g
ab
s
o
r
b
ed
m
icr
o
w
a
v
e
at
2
.
4
GHz
f
r
eq
u
en
c
y
to
ato
m
i
c
v
ib
r
atio
n
.
W
h
en
o
p
er
atin
g
at
th
i
s
f
r
eq
u
e
n
c
y
,
s
o
m
e
a
m
o
u
n
t
o
f
t
h
e
w
av
e
s
ar
e
leak
ed
t
o
th
e
s
u
r
r
o
u
n
d
i
n
g
.
T
h
is
r
esu
lt
s
in
i
n
ter
f
er
en
ce
t
o
o
th
er
d
ev
ices
th
at
u
til
ize
t
h
is
f
r
eq
u
e
n
c
y
b
an
d
.
T
h
e
av
e
r
ag
e
o
u
tp
u
t
p
o
w
er
o
f
m
icr
o
w
av
e
o
v
e
n
is
8
0
0
W
att
an
d
em
i
tted
w
a
v
e
h
a
s
a
b
an
d
w
id
th
o
f
ap
p
r
o
x
i
m
a
tel
y
5
MH
z.
T
h
er
ef
o
r
e,
if
a
W
SN
o
p
er
ates
at
a
f
r
eq
u
en
c
y
c
lo
s
e
to
th
e
ce
n
ter
f
r
eq
u
en
c
y
o
f
2
.
4
GHz
,
it
w
ill
e
x
p
e
r
ien
ce
an
e
n
lar
g
ed
p
ac
k
et
d
r
o
p
d
u
e
to
in
ter
f
er
en
c
e
f
r
o
m
m
icr
o
w
a
v
e
leak
a
g
e.
H
o
w
e
v
er
,
th
e
in
ter
f
er
en
ce
f
r
o
m
m
icr
o
w
a
v
e
w
o
u
ld
last
o
n
l
y
f
o
r
th
e
h
ea
ti
n
g
p
er
io
d
,
w
h
ic
h
t
y
p
ica
ll
y
r
a
n
g
e
f
r
o
m
3
0
m
i
n
u
tes to
1
h
o
u
r
[
8
]
.
I
E
E
E
8
0
2
.
1
5
.
4
s
tan
d
ar
d
u
s
es
o
f
f
s
et
q
u
ad
r
atu
r
e
p
h
a
s
e
-
s
h
if
t
k
e
y
in
g
(
O
-
QP
SK)
m
o
d
u
la
tio
n
w
it
h
a
h
alf
p
u
ls
e
s
h
ap
in
g
.
T
h
e
tr
an
s
m
is
s
i
o
n
o
cc
u
r
s
in
o
n
e
o
f
t
h
e
2
7
n
o
n
o
v
er
lap
p
in
g
c
h
a
n
n
el
s
.
1
6
o
f
th
e
m
w
i
th
2
MH
z
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6930
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
18
,
No
.
4
,
A
u
g
u
s
t 2
0
2
0
:
17
62
-
17
70
1764
b
an
d
w
id
t
h
a
n
d
5
MH
z
ch
a
n
n
e
l sp
ac
in
g
ar
e
in
2
.
5
GHz
b
an
d
,
w
h
i
le
t
h
e
r
e
m
ai
n
in
g
1
1
c
h
an
n
els ar
e
i
n
s
u
b
-
GHz
b
an
d
.
T
h
e
s
tan
d
ar
d
h
a
s
m
a
n
y
d
if
f
er
e
n
t
M
AC
la
y
er
p
r
o
to
co
ls
d
ef
i
n
ed
o
v
er
v
ar
io
u
s
v
er
s
io
n
.
T
h
e
s
i
m
p
le
s
t
o
n
e
u
s
e
s
th
e
ca
r
r
ier
s
en
s
e
m
u
l
tip
l
e
ac
ce
s
s
w
i
th
cle
ar
ch
a
n
n
e
l
(
C
SM
A
/
C
A
)
co
m
m
u
n
icat
io
n
.
A
t
t
h
e
b
eg
i
n
n
i
n
g
o
f
an
y
tr
a
n
s
m
i
s
s
io
n
,
n
o
d
es
w
ill
m
ak
e
s
u
r
e
th
e
c
h
a
n
n
el
i
s
i
d
le
b
y
u
s
i
n
g
clea
r
ch
a
n
n
el
ass
es
s
m
en
t
(
C
C
A
)
.
I
f
th
e
c
h
an
n
el
i
s
f
o
u
n
d
to
b
e
b
u
s
y
,
it d
ef
er
s
t
h
e
co
m
m
u
n
ica
ti
o
n
f
o
r
a
c
er
tain
p
er
io
d
o
f
ti
m
e
[
1
5
-
19
]
.
I
E
E
E
8
0
2
.
1
5
.
1
,
c
o
m
m
o
n
l
y
k
n
o
w
n
as
B
lu
eto
o
th
,
is
a
w
ir
eles
s
s
p
ec
if
icatio
n
f
o
r
w
ir
ele
s
s
p
er
s
o
n
al
ar
ea
n
et
w
o
r
k
(
W
P
A
N)
.
I
t
is
b
ei
n
g
u
s
ed
b
y
v
ar
iet
y
o
f
d
ev
ice
s
f
o
r
s
h
o
r
t
r
an
g
e
co
m
m
u
n
icat
io
n
.
So
m
e
ex
a
m
p
le
in
cl
u
d
e
d
ata
tr
an
s
f
er
r
in
g
b
et
wee
n
m
o
b
ile
s
,
lap
to
p
s
an
d
tab
le
ts
[
2
0
]
.
B
lu
eto
o
th
o
p
er
ates
in
2
.
4
GHz
f
r
eq
u
en
c
y
b
an
d
w
it
h
7
6
d
is
ti
n
ct
c
h
a
n
n
el
s
,
ea
ch
1
MH
z
w
id
e.
I
t
u
s
e
s
f
r
eq
u
en
c
y
h
o
p
p
in
g
s
p
r
ea
d
s
p
ec
t
r
u
m
(
FHS
S)
w
h
ich
ca
u
s
e
s
a
ch
a
n
g
e
o
f
th
e
ce
n
ter
f
r
eq
u
en
c
y
o
f
th
e
s
ig
n
al
at
a
r
a
te
o
f
1
6
0
0
Hz.
T
h
is
h
elp
s
it
to
av
o
id
in
ter
f
er
en
ce
b
u
t
f
o
r
ce
s
it
to
o
cc
u
p
y
7
6
MH
z
o
f
t
h
e
2
.
4
GHz
b
an
d
o
v
er
m
aj
o
r
ity
o
f
t
h
e
ti
m
e.
FHSS
is
la
ter
i
m
p
r
o
v
ed
to
a
n
u
p
g
r
ad
ed
v
er
s
io
n
k
n
o
w
n
a
s
a
d
ap
tiv
e
f
r
eq
u
e
n
c
y
h
o
p
p
in
g
(
AFH)
alg
o
r
ith
m
w
h
ic
h
allo
w
s
b
lu
eto
o
th
d
ev
ices
to
ca
teg
o
r
ize
o
cc
u
p
ied
ch
an
n
el
s
b
y
W
SN
as
“
b
ad
”
ch
a
n
n
el
s
an
d
w
ill
b
e
ig
n
o
r
ed
d
u
r
in
g
ch
an
n
el
s
elec
tio
n
.
Ho
w
e
v
er
,
th
i
s
is
u
n
li
k
el
y
to
h
a
p
p
en
in
m
o
s
t
o
f
th
e
ca
s
es a
s
t
h
e
W
SN sig
n
als ar
e
lo
w
p
o
w
er
ed
in
n
at
u
r
e.
I
n
I
E
E
E
8
0
2
.
1
1
s
tan
d
ar
d
,
th
e
ca
r
r
ier
s
en
s
e
m
u
lt
ip
le
ac
ce
s
s
(
C
SM
A
)
a
n
d
C
SM
A
/
C
A
al
g
o
r
ith
m
ar
e
u
s
ed
to
tacle
co
ex
is
te
n
ce
i
n
te
r
f
er
en
ce
[
2
0
]
.
Ho
w
e
v
er
,
a
s
t
u
d
y
b
y
H
u
a
n
g
et
al.
[
2
1
]
s
h
o
w
s
th
at
t
h
e
d
u
e
to
th
e
b
u
r
s
t
y
n
at
u
r
e
o
f
th
e
W
iFi
,
C
SM
A
s
c
h
e
m
e
is
n
o
t
ab
le
to
co
m
p
letel
y
u
s
e
t
h
e
W
iFi
w
h
i
te
s
p
ac
es
(
u
n
u
s
ed
s
p
ac
es
b
et
w
ee
n
W
i
Fi
f
r
a
m
es
)
.
Mo
r
eo
v
er
,
W
iFi
tr
an
s
m
itter
s
ar
e
u
n
ab
le
to
id
e
n
ti
f
y
t
h
e
W
SN
s
i
g
n
a
ls
a
s
t
h
e
clea
r
ch
an
n
el
a
s
s
e
s
s
m
e
n
t
(
C
C
A
)
i
n
C
SM
A
o
n
l
y
s
e
n
s
e
s
t
h
e
ca
r
r
ier
o
f
I
E
E
E
8
0
2
.
1
1
s
ig
n
al
s
.
Hen
ce
,
it
d
ep
en
d
s
o
n
th
e
C
C
A
m
o
d
e
b
ein
g
u
s
ed
[
2
2
,
2
3
]
.
4.
SYST
E
M
DE
SI
G
N
T
h
e
s
ch
e
m
e
p
r
o
p
o
s
ed
in
th
i
s
p
ap
er
is
b
ased
o
n
f
o
u
r
m
ai
n
m
o
d
u
les,
n
a
m
el
y
,
in
ter
f
er
en
ce
esti
m
atio
n
,
f
ea
t
u
r
e
ex
tr
ac
tio
n
,
M
L
clas
s
if
icatio
n
an
d
lo
o
k
-
u
p
tab
le.
Fig
u
r
e
1
p
r
esen
ts
th
e
o
v
er
all
ar
ch
itect
u
r
e
o
f
th
e
s
ch
e
m
e
w
it
h
t
h
ese
m
o
d
u
le
s
.
T
h
e
s
c
h
e
m
e
ta
k
es
s
a
m
p
led
R
SS
I
tr
ac
es
f
r
o
m
P
HY
la
y
er
an
d
s
to
r
es
th
e
m
f
o
r
p
r
o
ce
s
s
in
g
.
T
h
e
f
ir
s
t
p
r
o
ce
s
s
in
v
o
l
v
ed
is
in
ter
f
er
en
ce
est
i
m
atio
n
ca
r
r
ied
o
u
t
b
y
th
e
in
ter
f
er
en
ce
esti
m
at
io
n
m
o
d
u
le.
I
f
t
h
is
m
o
d
u
le
d
etec
t
s
p
r
esen
ce
o
f
a
n
y
i
n
ter
f
er
en
ce
,
f
ea
t
u
r
e
e
x
tr
ac
tio
n
is
e
x
ec
u
te
d
o
n
t
h
e
tr
ac
e
u
s
i
n
g
lig
h
t
w
ei
g
h
t
f
ea
tu
r
e
e
x
tr
ac
tio
n
m
o
d
u
le.
I
f
n
o
in
ter
f
er
en
ce
is
d
etec
ted
,
th
e
m
es
s
ag
e
is
p
as
s
ed
to
th
e
lo
o
k
-
u
p
tab
le
d
ir
ec
tl
y
.
T
h
e
ex
tr
a
cted
f
ea
tu
r
e
v
ec
to
r
o
f
th
e
R
S
SI
tr
ac
e
is
t
h
e
i
n
p
u
t
to
t
h
e
M
L
cla
s
s
i
f
icatio
n
m
o
d
el
[
2
4
]
w
h
ic
h
class
if
ies
t
h
e
in
ter
f
er
in
g
s
i
g
n
al
i
n
to
o
n
e
o
f
t
h
e
class
es,
B
lu
e
to
o
th
,
W
iFi
o
r
m
icr
o
w
a
v
e
o
v
e
n
.
T
h
e
class
i
f
icatio
n
o
u
tp
u
t
w
h
ic
h
is
th
e
t
y
p
e
o
f
i
n
ter
f
er
en
ce
,
i
s
p
ass
ed
to
th
e
lo
o
k
-
u
p
tab
le
i
n
o
r
d
er
to
ca
r
r
y
o
u
t
d
ec
is
io
n
o
n
t
h
e
co
u
n
ter
m
ea
s
u
r
e
to
b
e
u
s
ed
f
o
r
d
etec
ted
in
ter
f
er
e
n
ce
[
2
5
]
.
T
h
e
m
it
ig
at
io
n
co
u
n
ter
m
ea
s
u
r
e
in
f
o
r
m
atio
n
i
s
p
ass
ed
to
M
AC
la
y
er
to
tak
e
th
e
ac
tio
n
.
T
h
e
p
r
o
ce
ed
in
g
s
ec
tio
n
s
d
escr
ib
e
in
d
etail
th
e
d
es
i
g
n
i
n
g
p
r
o
ce
s
s
b
y
ex
p
la
in
i
n
g
t
h
e
d
esi
g
n
o
f
ea
ch
m
o
d
u
le
in
d
ep
th
.
Fig
u
r
e
1
.
Ov
er
all
ar
ch
itect
u
r
e
o
f
th
e
s
c
h
e
m
e
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
Ma
ch
in
e
lea
r
n
in
g
b
a
s
ed
lig
h
t
w
eig
h
t in
terf
eren
ce
mitig
a
tio
n
s
ch
eme
...
(
A
li S
u
z
a
in
)
1765
4
.
1
.
Sig
na
l sa
m
pli
ng
T
h
e
d
e
v
el
o
p
e
d
s
ch
em
e
u
s
es
E
D
a
p
p
r
o
a
c
h
t
o
ex
t
r
a
c
t
f
ea
tu
r
e
s
an
d
i
d
en
t
if
y
th
e
ty
p
e
o
f
in
t
e
r
f
e
r
e
n
c
e
.
T
h
e
E
D
v
a
lu
e
is
c
o
m
m
o
n
ly
k
n
o
w
n
as
R
SS
I
v
a
lu
e
an
d
r
o
u
g
h
ly
r
e
p
r
es
en
ts
th
e
p
o
w
e
r
o
f
r
e
c
e
iv
e
d
s
ig
n
al
a
t
t
h
e
r
e
c
ei
v
e
r
r
a
d
i
o
.
I
n
d
e
v
e
l
o
p
in
g
t
h
e
p
r
o
p
o
s
e
d
s
c
h
em
e
,
R
SS
I
v
a
lu
e
s
f
r
o
m
ex
p
e
r
im
en
t
s
c
a
r
r
i
e
d
o
u
t
i
n
[
1
3
]
a
r
e
u
s
e
d
.
T
h
e
s
e
r
e
a
d
in
g
s
a
r
e
al
r
ea
d
y
s
am
p
l
e
d
R
S
S
I
v
al
u
e
s
f
o
r
d
i
f
f
e
r
en
t
in
te
r
f
e
r
in
g
t
e
ch
n
o
l
o
g
i
es
in
I
S
M
b
a
n
d
n
am
e
ly
,
W
iF
i
,
B
lu
et
o
o
t
h
a
n
d
m
i
c
r
o
w
av
e
o
v
e
n
o
b
ta
in
e
d
ev
e
r
y
1
6
μ
s
in
a
c
o
n
t
r
o
ll
e
d
ex
p
e
r
im
e
n
t
.
F
ig
u
r
e
2
d
e
p
i
c
ts
t
h
e
c
o
n
t
r
o
l
l
e
d
ex
p
e
r
im
en
ta
l
s
e
tu
p
u
s
e
d
in
[
1
3
]
t
o
m
e
asu
r
e
th
e
R
SS
I
f
o
r
d
i
f
f
e
r
e
n
t
in
t
e
r
f
e
r
i
n
g
te
c
h
n
o
l
o
g
i
es
.
Fig
u
r
e
2
.
C
o
n
tr
o
lled
ex
p
er
i
m
e
n
tal
s
et
u
p
u
s
ed
in
[
1
3
]
4
.
2
.
I
nte
rf
er
ence
esti
m
a
t
io
n
I
n
ter
f
er
en
ce
esti
m
at
io
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ltip
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h
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m
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b
in
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ates
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(
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3
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T
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C
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P
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w
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d
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u
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t
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m
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s
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Fas
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T
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(
FF
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to
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M
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: T
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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c
o
n
s
i
s
t
s
o
f
ch
an
n
el
c
l
e
a
r
d
u
r
a
t
i
o
n
an
d
ch
an
n
e
l
b
u
s
y
d
u
r
a
ti
o
n
.
H
en
c
e
,
(
2
)
is
u
s
e
d
t
o
c
a
l
cu
l
at
e
t
h
e
n
u
m
b
e
r
o
f
r
e
p
e
a
t
e
d
d
u
ty
cy
c
l
e
s
o
r
p
e
r
i
o
d
i
ci
ty
in
b
in
a
r
y
s
ig
n
a
l
.
=
ℎ
ℎ
+
ℎ
(
2)
T
h
e
d
ef
au
lt
b
ea
co
n
i
n
ter
v
al
f
o
r
W
iFi
is
1
0
2
.
4
m
s
[
7
]
.
T
h
e
s
u
m
o
f
m
ax
i
m
u
m
c
h
an
n
el
cle
ar
d
u
r
atio
n
an
d
m
a
x
i
m
u
m
ch
a
n
n
el
b
u
s
y
d
u
r
atio
n
(
d
u
t
y
c
y
c
le
d
u
r
a
tio
n
)
f
o
r
W
iFi
s
h
o
u
ld
n
o
t
ex
ce
ed
th
i
s
v
alu
e.
T
h
e
B
lu
eto
o
th
a
n
d
m
icr
o
w
a
v
e
o
v
en
tr
ac
es
s
h
o
w
t
h
eir
d
u
t
y
c
y
cle
d
u
r
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n
s
ar
e
al
w
a
y
s
l
ess
t
h
a
n
t
h
i
s
v
al
u
e
.
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d
er
h
ea
v
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ata
tr
af
f
ic,
th
e
d
u
t
y
c
y
cle
f
o
r
W
iFi
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ce
ed
s
th
is
v
al
u
e.
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h
er
ef
o
r
e,
in
o
r
d
er
to
k
ee
p
th
e
d
u
ty
c
y
cle
al
w
a
y
s
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it
h
i
n
t
h
is
l
i
m
it,
th
e
f
o
llo
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n
g
co
n
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itio
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s
e
d
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ile
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t
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icit
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f
th
e
s
u
m
o
f
m
ax
i
m
u
m
ch
a
n
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s
y
ti
m
e
a
n
d
m
a
x
i
m
u
m
c
h
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n
el
clea
r
ti
m
e
>
1
0
2
.
4
m
s
,
p
er
io
d
icit
y
is
g
iv
en
b
y
(
3
)
:
=
ℎ
102
.
4
(
3)
Fro
m
co
m
p
u
ta
tio
n
,
t
h
e
p
r
o
p
o
s
ed
lig
h
t
w
ei
g
h
t
m
et
h
o
d
is
f
o
u
n
d
to
b
e
m
o
r
e
ac
cu
r
ate
in
esti
m
ati
n
g
p
er
io
d
icity
.
Mo
r
eo
v
er
,
t
h
e
m
e
m
o
r
y
p
r
o
f
ile
o
f
t
h
e
m
et
h
o
d
s
h
o
w
s
it
co
n
s
u
m
e
s
le
s
s
m
e
m
o
r
y
co
m
p
ar
ed
to
FF
T
.
Hen
ce
,
th
e
p
r
o
p
o
s
ed
m
et
h
o
d
is
p
r
o
v
en
to
b
e
lig
h
t
w
eig
h
t.
4
.
4
.
M
a
chine le
a
rning
m
o
de
l
-
decisi
o
n t
re
e
T
h
e
s
ch
e
m
e
p
r
o
p
o
s
ed
in
th
i
s
p
ap
er
n
ee
d
s
t
o
class
i
f
y
t
h
e
t
y
p
e
o
f
in
ter
f
er
in
g
s
i
g
n
al
f
o
r
a
n
ex
tr
ac
ted
f
ea
t
u
r
e
s
et.
T
h
er
ef
o
r
e,
a
s
u
p
er
v
is
ed
lear
n
in
g
m
o
d
el
is
n
ee
d
e
d
.
T
h
e
f
ir
s
t
r
eq
u
ir
e
m
en
t
to
d
ev
elo
p
a
s
u
p
er
v
is
ed
m
ac
h
in
e
lear
n
in
g
m
o
d
el
is
to
h
av
e
an
ap
p
r
o
p
r
iate
d
ata
s
et.
I
n
o
r
d
er
to
g
en
er
ate
th
e
r
eq
u
i
r
ed
d
ataset,
f
ea
t
u
r
e
ex
tr
ac
tio
n
is
ca
r
r
ied
o
u
t
u
s
i
n
g
th
e
d
ev
elo
p
ed
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ea
tu
r
e
ex
tr
ac
tio
n
m
et
h
o
d
o
n
7
0
d
if
f
er
en
t
tr
ac
es.
On
ce
t
h
e
d
ataset
i
s
g
e
n
er
ated
,
th
e
M
L
m
o
d
el
d
ev
e
lo
p
m
en
t
p
r
o
ce
d
u
r
e
is
ca
r
r
ied
o
u
t.
Firstl
y
,
t
h
e
d
ataset
is
r
an
d
o
m
l
y
s
p
lit
i
n
to
tr
ain
d
ata
an
d
test
d
ata.
7
0
%
o
f
t
h
e
d
at
aset
is
s
p
lit
as
tr
ai
n
d
ata
an
d
3
0
%
in
to
test
d
ata.
T
h
e
tr
ain
d
ata
is
u
s
ed
f
o
r
d
ev
elo
p
in
g
a
n
d
tr
ain
i
n
g
th
e
m
o
d
el
w
h
ile
te
s
t
d
ata
is
u
s
ed
f
o
r
v
al
id
atin
g
th
e
d
ev
elo
p
ed
m
o
d
el.
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w
o
m
o
d
els,
n
a
m
el
y
,
d
ec
is
io
n
tr
ee
m
o
d
el
a
n
d
lo
g
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s
tic
r
e
g
r
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io
n
m
o
d
el
ar
e
d
ev
e
lo
p
ed
s
ep
ar
atel
y
.
Fo
r
th
e
f
i
n
al
s
c
h
e
m
e,
th
e
m
o
d
el
w
it
h
t
h
e
least
m
e
m
o
r
y
co
n
s
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m
p
tio
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n
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h
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g
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ac
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r
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s
ed
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n
b
o
th
m
o
d
els,
t
h
e
f
o
u
r
n
u
m
er
ic
attr
ib
u
tes
o
f
th
e
d
at
aset
(
p
er
io
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icity
,
b
u
s
y
ti
m
e,
ch
an
n
el
u
tili
za
tio
n
an
d
id
le
ti
m
e
)
w
i
ll
b
e
u
s
ed
as
in
p
u
t
s
to
th
e
m
o
d
els.
T
h
e
d
ec
is
io
n
tr
ee
is
b
u
ilt
u
s
i
n
g
C
AR
T
alg
o
r
ith
m
w
it
h
attr
ib
u
te
s
elec
tio
n
m
ea
s
u
r
es
(
A
SM)
as
g
i
n
i
in
d
e
x
.
Fi
g
u
r
e
3
p
r
esen
t
s
t
h
e
g
e
n
er
ated
tr
ain
ed
d
ec
is
io
n
tr
ee
.
Fro
m
s
i
m
u
latio
n
,
it
is
f
o
u
n
d
th
at
t
h
e
d
ec
is
io
n
tr
ee
is
m
o
r
e
ac
cu
r
ate
an
d
lig
h
t
w
ei
g
h
t
co
m
p
ar
ed
to
lo
g
is
ti
c
r
eg
r
ess
io
n
m
o
d
el.
Hen
ce
,
t
h
e
d
ec
is
io
n
tr
ee
is
co
n
s
id
er
ed
to
b
e
th
e
ML
m
o
d
el
i
n
t
h
e
f
i
n
al
s
ch
e
m
e.
4
.
5
.
L
o
o
k
up
t
a
ble
T
h
e
l
o
o
k
-
u
p
t
a
b
le
t
ak
es
ML
c
la
s
s
if
i
c
at
i
o
n
m
o
d
e
l
o
u
t
p
u
t
as
its
in
p
u
t
an
d
ch
o
o
s
e
s
t
h
e
m
o
s
t
ap
p
r
o
p
r
i
a
t
e
c
o
u
n
t
e
r
m
e
asu
r
e
f
o
r
th
e
ty
p
e
o
f
in
p
u
t
i
n
t
e
r
f
e
r
en
c
e
.
T
h
e
t
ab
l
e
i
s
c
r
e
a
t
e
d
f
r
o
m
o
b
s
e
r
v
at
io
n
s
s
t
a
t
e
d
in
[
7
,
8
]
o
n
d
if
f
e
r
en
t
c
o
u
n
te
r
m
e
a
s
u
r
es
f
o
r
i
n
te
r
f
e
r
e
n
c
e
i
n
W
S
N
.
T
h
es
e
o
b
s
e
r
v
at
i
o
n
s
s
t
at
e
th
at
e
a
ch
in
te
r
f
e
r
in
g
t
e
ch
n
o
l
o
g
y
s
h
a
p
e
s
th
e
in
t
e
r
f
e
r
e
d
ch
an
n
e
l
in
a
p
a
r
t
i
cu
la
r
w
ay
.
S
o
d
if
f
e
r
en
t
c
o
u
n
t
e
r
m
e
as
u
r
e
s
w
i
ll
w
o
r
k
f
o
r
d
i
f
f
e
r
en
t
ty
p
es
o
f
i
n
te
r
f
e
r
en
c
e
.
F
o
r
in
s
ta
n
c
e
,
m
ic
r
o
w
av
e
o
v
en
u
ti
l
iz
e
s
th
e
ch
a
n
n
e
l
h
e
av
ily
w
ith
a
s
l
o
w
b
u
t
s
t
e
a
d
y
a
n
d
tim
e
ly
t
r
a
n
s
m
is
s
i
o
n
.
T
h
e
t
r
an
s
m
is
s
i
o
n
h
a
s
r
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u
l
a
r
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n
-
o
f
f
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s
.
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o
,
t
h
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t
r
a
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m
is
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i
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l
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r
ly
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c
h
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d
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l
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d
m
an
n
e
r
[
7
]
o
r
i
n
o
th
e
r
w
o
r
d
s
,
b
y
u
s
in
g
p
a
c
k
e
t
s
c
h
e
d
u
l
e
t
r
a
n
s
m
is
s
i
o
n
.
H
en
c
e
,
if
th
e
in
p
u
t
t
o
th
e
l
o
o
k
-
u
p
t
a
b
le
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m
i
c
r
o
w
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o
v
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in
te
r
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r
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c
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,
i
t
w
il
l
ch
o
o
s
e
p
a
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e
t
s
ch
e
d
u
l
in
g
a
s
th
e
c
o
u
n
t
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r
m
e
asu
r
e
.
O
n
th
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th
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r
h
an
d
,
W
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Fi
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l
iz
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s
t
h
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ch
an
n
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l
v
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d
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ly
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o
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a
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d
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f
t
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a
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f
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m
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s
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o
n
p
a
t
t
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r
n
.
S
o
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e
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e
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m
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[
8
]
.
T
h
e
r
e
f
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e
,
t
h
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l
o
o
k
-
u
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a
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p
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is
W
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i
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4
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2
0
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In
ter
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Distri
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[4
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A
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stb
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d
in
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m
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re
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Ne
t
w
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rk
,”
2014
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n
d
In
ter
n
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ti
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n
a
l
S
y
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m o
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n
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6
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[5
]
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a
m
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A
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n
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rg
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[6
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4
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n
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6
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.
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h
a
rias
,
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7
]
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.
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a
n
,
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.
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8
]
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.
Kin
g
a
n
d
U.
R
o
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d
ig
,
“
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e
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o
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riatio
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T
ra
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ti
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o
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e
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r Ne
t
wo
rk
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v
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l.
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4
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o
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2
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p
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1
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a
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.
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9
]
P
.
Du
a
n
d
G
.
Ro
u
ss
o
s
,
“
A
d
a
p
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2
0
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4
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h
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o
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ter
S
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ien
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tro
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p
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2
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0
]
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A
z
m
i,
L
.
M
.
K
a
m
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ru
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in
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t
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ter
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n
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4
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[2
1
]
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Hu
a
n
g
,
G
.
X
in
g
,
G
.
Zh
o
u
,
R.
Z
h
o
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,
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e
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n
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p
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2
]
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ian
g
,
C
.
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P
riy
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n
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a
,
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3
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.
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n
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h
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S
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i,
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lff
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H.
Ka
r
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ta
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In
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e
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o
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S
y
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ms
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4
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,
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p
.
2
3
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4
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l
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2
0
1
3
.
[2
4
]
T
.
O.
Ay
o
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e
le,
“
Ty
p
e
s o
f
M
a
c
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in
e
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lg
o
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m
s
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o
rtsm
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u
th
,
U.K.
,
I
n
T
e
c
h
,
F
e
b
r
u
a
ry
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[2
5
]
Ho
ss
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in
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o
to
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h
i
,
M
á
ri
o
A
lv
e
s,
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a
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