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5
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m
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[
2
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Evaluation Warning : The document was created with Spire.PDF for Python.
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Vo
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24
,
No
.
3
,
J
u
n
e
20
26
:
7
6
5
-
7
7
8
766
T
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[
3
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,
[
4
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[
5
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.
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q
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er
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(
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[
6
]
.
T
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h
-
b
ased
an
d
h
eu
r
is
tic
m
eth
o
d
s
p
r
o
v
id
e
s
im
p
licity
b
u
t
o
f
te
n
s
u
f
f
er
f
r
o
m
s
ca
lab
ilit
y
lim
itatio
n
s
an
d
p
o
o
r
p
er
f
o
r
m
an
ce
i
n
d
y
n
am
ic
e
n
v
ir
o
n
m
en
ts
[
7
]
,
[
8
]
.
Me
tah
eu
r
is
ti
c
alg
o
r
ith
m
s
,
s
u
c
h
as
g
e
n
etic
a
lg
o
r
ith
m
(
GA)
an
d
s
im
u
lated
a
n
n
ea
lin
g
(
SA)
,
h
a
v
e
g
ain
ed
atten
tio
n
f
o
r
th
eir
ab
ilit
y
to
ex
p
lo
r
e
co
m
p
le
x
s
o
lu
tio
n
s
p
ac
es
an
d
av
o
id
lo
ca
l
o
p
tim
a
[
9
]
,
[
1
0
]
.
Ho
wev
er
,
ea
ch
tech
n
iq
u
e
h
as
lim
itatio
n
s
,
GA
ten
d
s
to
co
n
v
er
g
e
p
r
em
at
u
r
ely
,
wh
ile
SA’
s
p
er
f
o
r
m
an
ce
is
h
ig
h
ly
s
en
s
itiv
e
to
in
itializatio
n
an
d
co
o
li
n
g
s
ch
ed
u
les.
Hy
b
r
id
m
etah
e
u
r
is
tics
h
av
e
b
ee
n
in
tr
o
d
u
ce
d
to
o
v
er
c
o
m
e
t
h
ese
in
d
iv
id
u
al
lim
itatio
n
s
b
y
co
m
b
in
in
g
th
e
s
tr
en
g
th
s
o
f
two
o
r
m
o
r
e
alg
o
r
ith
m
s
.
Pre
v
io
u
s
s
tu
d
ies
h
av
e
ex
p
lo
r
ed
h
y
b
r
id
co
m
b
in
atio
n
s
s
u
ch
as
GA
-
p
ar
ticle
s
war
m
o
p
tim
izatio
n
(
PSO
)
an
d
GA
-
an
t
co
lo
n
y
o
p
ti
m
izatio
n
(
AC
O
)
f
o
r
r
eso
u
r
ce
allo
ca
tio
n
,
r
ep
o
r
tin
g
p
er
f
o
r
m
an
ce
im
p
r
o
v
e
m
en
ts
i
n
v
ar
io
u
s
o
p
tim
izatio
n
p
r
o
b
le
m
s
[
1
1
]
,
[
1
2
]
.
I
n
p
a
r
ticu
lar
,
c
o
m
b
in
in
g
GA
with
SA
h
as
s
h
o
wn
im
p
r
o
v
e
d
co
n
v
er
g
en
ce
an
d
s
o
lu
tio
n
q
u
ality
in
ap
p
licatio
n
s
s
u
ch
as
task
s
ch
ed
u
lin
g
an
d
e
n
er
g
y
o
p
tim
izatio
n
[
1
3
]
,
[
1
4
]
.
Nev
er
th
eless
,
th
e
ap
p
licatio
n
o
f
h
y
b
r
id
GA
–
SA
alg
o
r
ith
m
s
to
eM
B
B
-
s
p
ec
if
ic
D2
D
s
ce
n
ar
io
s
r
em
ain
s
lar
g
ely
u
n
ex
p
lo
r
ed
.
Mo
s
t
p
r
io
r
s
tu
d
ies
f
o
c
u
s
o
n
g
e
n
er
al
in
ter
f
er
e
n
ce
m
itig
atio
n
o
r
o
th
er
5
G
u
s
e
ca
s
es
s
u
ch
as
u
R
L
L
C
an
d
m
MT
C
[
1
5
]
,
[
1
6
]
.
Mo
r
e
r
ec
en
t
r
esear
c
h
h
as
s
tar
ted
to
a
d
d
r
ess
th
is
g
ap
u
s
in
g
a
d
v
an
ce
d
lear
n
in
g
an
d
o
p
tim
izatio
n
tec
h
n
iq
u
es.
Fo
r
ex
a
m
p
le,
Ye
et
a
l
.
[
1
7
]
a
p
p
lied
d
ee
p
r
ein
f
o
r
c
em
en
t
lear
n
in
g
(
R
L
)
f
o
r
D2
D
r
eso
u
r
ce
allo
ca
tio
n
i
n
5
G
u
n
d
e
r
lay
n
etwo
r
k
s
.
Su
n
et
a
l
.
[
1
8
]
in
tr
o
d
u
ce
d
a
n
in
te
llig
en
t
tr
af
f
ic
l
o
ad
p
r
ed
ictio
n
-
b
ased
a
d
ap
tiv
e
ch
a
n
n
el
ass
ig
n
m
en
t
s
tr
ateg
y
f
o
r
D2
D
co
m
m
u
n
icatio
n
s
,
w
h
ile
Z
h
an
g
et
a
l
.
[
1
9
]
h
ig
h
lig
h
ted
t
h
e
in
teg
r
atio
n
o
f
ar
tific
ial
in
tellig
en
ce
(
AI
)
-
d
r
i
v
en
d
ec
is
io
n
-
m
a
k
in
g
in
t
o
5
G
r
eso
u
r
ce
allo
ca
tio
n
f
r
am
ewo
r
k
s
.
I
n
a
d
d
itio
n
,
W
an
g
et
a
l
.
[
2
0
]
ex
p
lo
r
ed
en
er
g
y
-
ef
f
icien
t
allo
ca
tio
n
s
tr
ateg
ies
u
n
d
er
Qo
S
co
n
s
tr
ain
ts
,
an
d
f
u
r
th
er
s
tu
d
ies
in
v
esti
g
ated
in
tellig
en
t
s
p
ec
tr
u
m
m
an
ag
e
m
en
t
an
d
lear
n
in
g
-
ass
is
ted
in
ter
f
er
en
ce
m
itig
atio
n
f
o
r
d
e
n
s
e
5
G
d
ep
lo
y
m
e
n
ts
[
2
1
]
,
[
2
2
]
.
T
h
is
r
esear
ch
ad
d
r
ess
es
th
is
g
ap
b
y
p
r
o
p
o
s
in
g
a
n
o
v
el
h
y
b
r
id
GA
–
SA
f
r
am
ewo
r
k
d
esig
n
ed
s
p
ec
if
ically
f
o
r
s
p
ec
tr
u
m
allo
c
atio
n
in
eM
B
B
-
o
r
ien
ted
5
G
D
2
D
n
etwo
r
k
s
.
T
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
i
n
teg
r
ates
GA’
s
g
lo
b
al
s
ea
r
ch
ca
p
ab
ilit
y
with
SA’
s
lo
ca
l
r
ef
in
em
en
t
m
ec
h
an
is
m
to
en
h
an
ce
r
eso
u
r
ce
allo
ca
tio
n
ef
f
icien
cy
.
I
t
tar
g
ets
im
p
r
o
v
e
m
en
ts
in
SIN
R
d
is
tr
ib
u
tio
n
,
s
y
s
tem
th
r
o
u
g
h
p
u
t,
i
n
ter
f
er
en
ce
r
ed
u
ctio
n
,
an
d
f
air
n
ess
ac
r
o
s
s
u
s
er
s
u
n
d
er
d
e
n
s
e
n
etwo
r
k
co
n
d
itio
n
s
.
T
h
e
k
ey
co
n
tr
i
b
u
tio
n
s
o
f
th
is
p
ap
er
ar
e:
i)
a
h
y
b
r
id
GA
–
SA
o
p
tim
izatio
n
f
r
am
ewo
r
k
is
p
r
o
p
o
s
ed
to
ad
d
r
ess
th
e
u
n
iq
u
e
Qo
S
d
em
a
n
d
s
o
f
eM
B
B
in
5
G
D2
D
n
et
wo
r
k
s
;
ii)
t
h
e
alg
o
r
ith
m
b
alan
ce
s
ex
p
lo
r
atio
n
an
d
ex
p
lo
itatio
n
to
im
p
r
o
v
e
co
n
v
er
g
en
ce
an
d
s
o
lu
tio
n
q
u
ality
;
iii)
s
im
u
latio
n
r
esu
lts
d
em
o
n
s
tr
ate
s
ig
n
if
ican
t
im
p
r
o
v
em
e
n
ts
in
SIN
R
,
th
r
o
u
g
h
p
u
t,
i
n
ter
f
er
e
n
ce
m
itig
atio
n
,
an
d
f
air
n
ess
co
m
p
ar
ed
to
s
tan
d
alo
n
e
GA
an
d
SA
m
eth
o
d
s
;
an
d
iv
)
t
h
e
f
r
am
ewo
r
k
is
ev
alu
ate
d
u
n
d
er
r
ea
lis
tic
5
G
d
ep
lo
y
m
en
t
p
ar
am
eter
s
an
d
s
h
o
ws
s
ca
lab
ilit
y
to
s
u
p
p
o
r
t
h
ig
h
u
s
er
d
e
n
s
ity
.
T
h
e
r
em
ain
d
er
o
f
th
is
p
ap
e
r
is
o
r
g
an
ized
as
th
e
f
o
llo
w
s:
s
ec
tio
n
2
d
is
cu
s
s
es
r
elate
d
wo
r
k
an
d
b
ac
k
g
r
o
u
n
d
tech
n
iq
u
es.
Sectio
n
3
d
etails
th
e
p
r
o
p
o
s
ed
s
y
s
tem
m
o
d
el
an
d
h
y
b
r
id
GA
–
SA
m
eth
o
d
o
l
o
g
y
.
Sectio
n
4
p
r
esen
ts
th
e
s
im
u
latio
n
s
etu
p
,
r
esu
l
ts
,
an
d
d
is
cu
s
s
io
n
.
Sectio
n
5
c
o
n
clu
d
es
th
e
p
ap
e
r
an
d
o
u
tlin
es d
i
r
ec
tio
n
s
f
o
r
f
u
t
u
r
e
wo
r
k
.
2.
RE
L
AT
E
D
WO
RK
AND
B
ACK
G
RO
UND
T
E
CH
NIQ
UE
S
E
f
f
icien
t
s
p
ec
tr
u
m
allo
ca
tio
n
in
D2
D
co
m
m
u
n
icatio
n
u
n
d
e
r
5
G
n
etwo
r
k
s
h
as
b
ee
n
wid
e
ly
s
tu
d
ied
u
s
in
g
v
ar
i
o
u
s
tech
n
iq
u
es,
r
a
n
g
in
g
f
r
o
m
tr
a
d
itio
n
al
h
e
u
r
is
tic
ap
p
r
o
ac
h
es
to
ad
v
an
ce
d
h
y
b
r
i
d
m
etah
eu
r
is
tic
an
d
m
ac
h
in
e
lear
n
i
n
g
m
et
h
o
d
s
.
T
h
is
s
ec
tio
n
r
ev
iews
th
e
m
o
s
t
r
elev
an
t
s
tu
d
ies,
f
o
c
u
s
in
g
o
n
in
ter
f
er
en
ce
-
awa
r
e
r
eso
u
r
ce
allo
ca
tio
n
f
o
r
eM
B
B
-
o
r
ien
ted
D2
D
s
ce
n
ar
i
o
s
2
.
1
.
G
ra
ph
-
ba
s
ed
a
nd
heuri
s
t
ic
a
pp
ro
a
ches
E
ar
ly
wo
r
k
s
in
D2
D
s
p
ec
tr
u
m
allo
ca
tio
n
p
r
e
d
o
m
in
a
n
tly
u
tili
ze
d
g
r
ap
h
-
b
ased
i
n
ter
f
er
e
n
ce
m
o
d
els
an
d
h
e
u
r
is
tic
alg
o
r
ith
m
s
d
u
e
to
th
eir
s
im
p
licity
a
n
d
l
o
w
co
m
p
u
tatio
n
al
co
m
p
lex
ity
.
Z
h
an
g
et
a
l
.
[
5
]
f
o
r
m
u
lated
r
eso
u
r
ce
s
h
ar
in
g
a
s
a
g
r
ap
h
-
co
l
o
r
in
g
p
r
o
b
lem
,
wh
er
e
D2
D
lin
k
s
ar
e
r
ep
r
ese
n
ted
as
v
er
tices
an
d
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
Hyb
r
id
GA
–
S
A
o
p
timiz
a
tio
n
fo
r
eMB
B
-
o
r
ien
ted
s
p
ec
tr
u
m
…
(
Mo
h
d
A
z
r
u
la
z
w
a
n
Ju
s
o
h
@
Mo
h
d
Yu
s
o
ff
)
767
in
ter
f
er
en
ce
r
elatio
n
s
h
ip
s
as
e
d
g
es,
en
a
b
lin
g
e
f
f
icien
t
allo
ca
tio
n
th
r
o
u
g
h
g
r
ap
h
p
ar
titi
o
n
i
n
g
.
I
v
an
o
v
et
a
l
.
[
7
]
f
u
r
th
er
e
x
p
lo
r
e
d
in
ter
f
er
e
n
ce
co
o
r
d
in
atio
n
m
ec
h
a
n
is
m
s
in
D2
D
u
n
d
er
lay
n
etwo
r
k
s
u
s
in
g
h
eu
r
is
tic
tech
n
iq
u
es
to
av
o
id
c
o
-
ch
an
n
el
in
ter
f
e
r
e
n
ce
.
W
h
ile
th
ese
m
eth
o
d
s
p
r
o
v
id
e
lo
w
-
co
m
p
lex
ity
s
o
lu
tio
n
s
,
th
ey
o
f
ten
f
ail
to
ad
ap
t
to
d
y
n
am
ic
n
etwo
r
k
en
v
ir
o
n
m
en
ts
an
d
s
u
f
f
er
f
r
o
m
r
ed
u
ce
d
p
er
f
o
r
m
a
n
ce
in
lar
g
e
-
s
ca
le,
d
e
n
s
e
d
ep
lo
y
m
e
n
ts
ty
p
ical
o
f
eM
B
B
s
ce
n
ar
io
s
.
T
h
e
s
tatic
n
atu
r
e
o
f
th
ese
alg
o
r
ith
m
s
lim
its
th
eir
ab
ilit
y
to
g
u
ar
an
te
e
Qo
S wh
en
u
s
er
d
is
tr
ib
u
tio
n
s
an
d
ch
a
n
n
el
co
n
d
itio
n
s
ch
an
g
e
r
ap
id
ly
.
2
.
2
.
M
et
a
heuris
t
ic
o
ptim
iza
t
io
n t
ec
hn
iqu
e
s
To
ad
d
r
ess
th
e
lim
itatio
n
s
o
f
h
eu
r
is
tic
m
eth
o
d
s
,
r
esear
ch
er
s
h
av
e
ex
p
lo
r
e
d
m
etah
e
u
r
is
tic
alg
o
r
ith
m
s
s
u
ch
as
GA,
PS
O,
A
C
O,
an
d
SA
f
o
r
r
eso
u
r
ce
allo
ca
tio
n
.
T
h
ese
alg
o
r
ith
m
s
ar
e
ca
p
ab
le
o
f
n
av
ig
atin
g
c
o
m
p
lex
s
o
lu
tio
n
s
p
ac
es
an
d
a
v
o
id
i
n
g
lo
ca
l
o
p
tim
a,
m
a
k
in
g
t
h
em
s
u
itab
le
f
o
r
in
ter
f
e
r
en
ce
-
awa
r
e
s
p
ec
tr
u
m
o
p
tim
izatio
n
.
C
h
an
d
r
asek
h
ar
a
n
et
a
l
.
[
8
]
d
is
cu
s
s
ed
ad
v
an
ce
d
wir
eless
r
eso
u
r
ce
m
an
ag
em
en
t
an
d
o
p
tim
izatio
n
ch
allen
g
es
in
f
u
tu
r
e
co
m
m
u
n
i
ca
tio
n
n
etwo
r
k
s
,
m
o
tiv
atin
g
a
d
ap
tiv
e
s
p
ec
tr
u
m
allo
ca
tio
n
s
tr
ateg
ies
f
o
r
d
en
s
e
d
ep
lo
y
m
e
n
ts
.
Ash
tian
i
et
a
l
.
[
9
]
in
v
esti
g
ated
p
o
wer
allo
ca
tio
n
an
d
r
eso
u
r
ce
ass
ig
n
m
en
t
f
o
r
D2
D
co
m
m
u
n
icatio
n
s
u
n
d
er
ly
in
g
ce
llu
lar
n
etwo
r
k
s
,
h
ig
h
li
g
h
tin
g
th
e
im
p
o
r
tan
ce
o
f
in
ter
f
er
e
n
ce
-
awa
r
e
o
p
tim
izatio
n
u
n
d
er
d
en
s
e
r
eu
s
e
co
n
d
itio
n
s
.
PSO
-
b
ased
r
eso
u
r
ce
allo
ca
tio
n
u
n
d
e
r
lo
n
g
ter
m
ev
o
lu
tio
n
(
L
T
E
)
n
etwo
r
k
s
was
in
v
esti
g
ated
b
y
So
n
g
et
al.
[
1
0
]
d
is
cu
s
s
ed
r
eso
u
r
ce
m
an
ag
em
e
n
t
s
tr
ateg
ies
f
o
r
D2
D
u
n
d
er
lay
co
m
m
u
n
icatio
n
,
em
p
h
asizin
g
th
e
im
p
o
r
tan
ce
o
f
in
ter
f
e
r
e
n
ce
-
awa
r
e
o
p
tim
izatio
n
a
n
d
ad
ap
tiv
e
allo
ca
tio
n
m
ec
h
an
is
m
s
.
Fen
g
et
a
l
.
[
1
2
]
p
r
o
p
o
s
ed
a
GA
-
PS
O
h
y
b
r
id
f
o
r
D2
D
r
eso
u
r
ce
allo
ca
tio
n
,
ac
h
iev
i
n
g
b
etter
th
r
o
u
g
h
p
u
t
an
d
SIN
R
p
er
f
o
r
m
an
ce
th
an
in
d
iv
i
d
u
al
alg
o
r
it
h
m
s
.
W
h
ile
th
ese
m
etah
eu
r
is
t
ic
ap
p
r
o
ac
h
es
s
h
o
w
p
r
o
m
is
e,
GA
m
a
y
s
u
f
f
e
r
f
r
o
m
p
r
em
at
u
r
e
c
o
n
v
er
g
en
ce
,
a
n
d
SA
p
e
r
f
o
r
m
an
ce
is
s
en
s
itiv
e
to
tem
p
er
atu
r
e
s
ch
ed
u
lin
g
an
d
in
itializatio
n
[
1
3
]
,
[
1
4
]
.
T
h
er
e
f
o
r
e,
co
m
b
i
n
i
n
g
GA’
s
g
lo
b
al
s
ea
r
c
h
an
d
SA’
s
lo
ca
l
r
ef
in
em
en
t
in
a
h
y
b
r
id
s
tr
u
ctu
r
e
h
as b
ec
o
m
e
an
attr
ac
tiv
e
r
esear
ch
d
ir
ec
tio
n
.
2
.
3
.
ML
a
nd
inte
llig
ent
t
ec
hn
iqu
e
s
R
ec
en
t a
d
v
an
ce
m
en
ts
in
AI
h
a
v
e
led
to
th
e
ad
o
p
tio
n
o
f
m
ac
h
in
e
lear
n
in
g
(
ML
)
an
d
d
ee
p
le
ar
n
in
g
f
o
r
s
p
ec
tr
u
m
allo
ca
tio
n
an
d
in
ter
f
er
en
ce
m
an
a
g
em
en
t
in
D2
D
n
etwo
r
k
s
.
Ye
et
a
l
.
[
1
7
]
p
r
o
p
o
s
ed
a
d
ee
p
RL
f
r
am
ewo
r
k
f
o
r
D2
D
r
eso
u
r
ce
allo
ca
tio
n
u
n
d
er
5
G
n
etwo
r
k
s
,
en
ab
lin
g
ad
a
p
tiv
e
allo
ca
tio
n
in
h
ig
h
ly
d
y
n
a
m
ic
en
v
ir
o
n
m
en
ts
.
Su
n
et
a
l
.
[
1
8
]
in
v
esti
g
ated
o
p
tim
al
j
o
in
t
p
o
wer
an
d
s
u
b
ca
r
r
ie
r
allo
ca
t
io
n
f
o
r
f
u
ll
-
d
u
p
lex
m
u
lticar
r
ier
n
o
n
-
o
r
t
h
o
g
o
n
al
m
u
ltip
le
ac
ce
s
s
(
NOM
A)
s
y
s
tem
s
,
d
em
o
n
s
tr
atin
g
h
o
w
in
ter
f
er
en
ce
-
awa
r
e
o
p
tim
izatio
n
ca
n
im
p
r
o
v
e
s
p
ec
tr
al
u
tili
za
tio
n
u
n
d
er
s
tr
o
n
g
co
u
p
lin
g
.
Z
h
an
g
et
a
l
.
[
1
9
]
d
is
cu
s
s
ed
n
etwo
r
k
s
licin
g
in
5
G
a
n
d
f
u
tu
r
e
m
o
b
i
le
n
etwo
r
k
s
,
h
ig
h
lig
h
tin
g
m
o
b
ilit
y
-
awa
r
e
r
eso
u
r
ce
m
an
a
g
em
en
t
ch
allen
g
es
t
h
at
m
o
tiv
ate
in
tellig
en
t,
c
o
n
tex
t
-
awa
r
e
allo
ca
tio
n
p
o
licies.
T
h
ese
lear
n
in
g
-
b
ased
ap
p
r
o
ac
h
e
s
o
f
f
er
a
d
ap
tab
ilit
y
an
d
s
ca
lab
ilit
y
b
u
t
m
ay
r
eq
u
ir
e
lar
g
e
t
r
ain
in
g
d
atasets
an
d
s
u
f
f
er
f
r
o
m
lo
n
g
co
n
v
er
g
en
ce
tim
es
in
h
ig
h
ly
d
y
n
am
ic
s
ce
n
ar
io
s
.
Fu
r
th
er
m
o
r
e,
p
u
r
e
ML
-
b
ased
m
eth
o
d
s
m
ay
n
o
t
f
u
lly
ex
p
lo
it
th
e
s
tr
u
ctu
r
ed
o
p
tim
izatio
n
ad
v
an
tag
es o
f
ev
o
l
u
tio
n
ar
y
alg
o
r
ith
m
s
.
2
.
4
.
H
y
brid a
nd
re
ce
nt
ev
o
l
utio
na
ry
–
lea
rning
f
ra
m
ewo
r
k
s
T
o
co
m
b
in
e
t
h
e
s
tr
en
g
t
h
s
o
f
m
etah
eu
r
is
tics
an
d
in
tellig
en
t
m
eth
o
d
s
,
s
ev
er
al
h
y
b
r
id
f
r
am
e
wo
r
k
s
h
av
e
b
ee
n
in
tr
o
d
u
ce
d
in
r
ec
en
t
y
e
ar
s
.
B
ey
o
n
d
AI
-
b
ased
h
y
b
r
id
s
,
W
an
g
et
a
l
.
[
2
0
]
d
e
v
elo
p
ed
en
er
g
y
-
ef
f
icien
t
r
eso
u
r
ce
allo
ca
tio
n
m
ec
h
an
is
m
s
,
Z
h
ao
an
d
W
an
g
et
a
l
.
[
2
1
]
ex
p
lo
r
ed
s
p
ec
tr
al
ef
f
icien
cy
o
p
tim
izatio
n
f
o
r
wir
eless
-
p
o
wer
ed
D2
D
co
m
m
u
n
icatio
n
s
,
an
d
L
iu
et
a
l
.
[
2
2
]
i
n
v
esti
g
ated
NOM
A
s
ch
em
es
f
o
r
s
p
ec
tr
u
m
ef
f
icien
cy
en
h
an
ce
m
e
n
t
.
Sev
e
r
al
ea
r
lier
s
tu
d
ies
h
av
e
in
v
esti
g
ated
in
ter
f
er
e
n
ce
-
awa
r
e
s
p
e
ctr
u
m
s
h
ar
in
g
an
d
p
o
wer
co
n
tr
o
l
f
o
r
D2
D
u
n
d
er
lay
ce
llu
lar
n
etwo
r
k
s
[
2
3
]
–
[
2
6
]
.
T
h
ese
wo
r
k
s
d
em
o
n
s
tr
ated
th
at
ef
f
icien
t
r
eso
u
r
ce
b
lo
c
k
(
R
B
)
r
eu
s
e
an
d
p
o
wer
o
p
tim
izatio
n
ca
n
s
ig
n
if
ican
tly
im
p
r
o
v
e
s
p
ec
tr
u
m
ef
f
icien
cy
wh
ile
m
itig
atin
g
cr
o
s
s
-
tier
i
n
ter
f
er
e
n
ce
in
d
en
s
e
wir
eless
d
ep
l
o
y
m
en
ts
.
Nev
er
t
h
eless
,
m
o
s
t
ex
is
tin
g
ap
p
r
o
ac
h
es
f
o
cu
s
p
r
im
ar
ily
o
n
eith
er
th
r
o
u
g
h
p
u
t
m
ax
im
izatio
n
o
r
in
ter
f
er
en
ce
r
ed
u
ctio
n
alo
n
e,
with
l
im
ited
em
p
h
asis
o
n
jo
in
tly
b
alan
cin
g
th
r
o
u
g
h
p
u
t,
f
air
n
ess
,
an
d
co
n
v
er
g
e
n
ce
s
tab
ilit
y
u
n
d
er
d
en
s
e
eM
B
B
-
o
r
ien
ted
s
ce
n
ar
io
s
.
2
.
5
.
G
a
p
a
na
ly
s
is
a
nd
re
s
ea
rc
h m
o
t
iv
a
t
io
n
T
o
clea
r
ly
p
o
s
itio
n
th
is
wo
r
k
ag
ain
s
t
ex
is
tin
g
i
n
ter
f
er
en
ce
-
a
war
e
s
p
ec
tr
u
m
allo
ca
tio
n
s
tr
a
teg
ies
f
o
r
5
G
D2
D,
T
a
b
le
1
s
u
m
m
ar
ize
s
r
ep
r
esen
tativ
e
p
r
io
r
s
tu
d
ies
an
d
h
ig
h
lig
h
ts
th
e
r
em
ai
n
in
g
r
esear
ch
g
a
p
s
.
T
h
e
co
m
p
ar
is
o
n
f
o
cu
s
es
o
n
:
i)
th
e
o
p
tim
izatio
n
/lear
n
in
g
ap
p
r
o
ac
h
;
ii)
th
e
m
ain
o
b
jectiv
e(
s
)
an
d
k
ey
p
er
f
o
r
m
a
n
ce
in
d
icato
r
(
KPI
(
s
)
)
;
an
d
iii)
wh
eth
er
th
e
m
eth
o
d
is
ex
p
licitly
tailo
r
ed
to
d
en
s
e
eM
B
B
-
o
r
ien
ted
D2
D
s
p
ec
tr
u
m
r
eu
s
e
s
ce
n
ar
io
s
.
As
in
d
icate
d
in
T
ab
le
1
,
g
r
ap
h
-
b
ased
a
n
d
h
e
u
r
is
tic
m
eth
o
d
s
o
f
f
e
r
lo
w
co
m
p
lex
ity
b
u
t
ca
n
b
e
s
u
b
o
p
tim
al
in
d
en
s
e
d
ep
lo
y
m
en
ts
an
d
lack
r
o
b
u
s
tn
ess
to
co
m
p
lex
in
ter
f
er
en
ce
co
u
p
lin
g
.
Pu
r
e
m
etah
eu
r
is
tics
s
u
ch
as
GA
an
d
SA
p
r
o
v
id
e
s
tr
o
n
g
er
s
ea
r
ch
ca
p
ab
ilit
y
b
u
t
s
u
f
f
er
f
r
o
m
p
r
e
m
atu
r
e
c
o
n
v
er
g
en
ce
GA
o
r
s
en
s
itiv
ity
to
co
o
lin
g
/in
itializatio
n
SA.
L
ea
r
n
in
g
-
b
ased
an
d
ev
o
lu
tio
n
ar
y
lear
n
i
n
g
h
y
b
r
id
s
im
p
r
o
v
e
a
d
ap
tiv
ity
b
u
t
in
tr
o
d
u
ce
tr
ain
in
g
an
d
im
p
lem
en
tatio
n
o
v
e
r
h
ea
d
.
T
h
er
e
f
o
r
e,
th
er
e
r
em
ai
n
s
a
p
r
ac
tical
g
ap
f
o
r
a
tr
ac
tab
le
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1693
-
6
9
3
0
TEL
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
24
,
No
.
3
,
J
u
n
e
20
26
:
7
6
5
-
7
7
8
768
y
et
ef
f
ec
tiv
e
h
y
b
r
id
o
p
tim
ize
r
th
at
:
i)
ex
p
licitly
tar
g
ets
d
en
s
e
eM
B
B
-
o
r
ien
ted
D2
D
s
p
ec
tr
u
m
r
e
u
s
e
an
d
ii)
ac
h
iev
es
a
b
alan
ce
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[
5
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G
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[
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A
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1
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Evaluation Warning : The document was created with Spire.PDF for Python.
T
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u
s
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r
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ates
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ath
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u
r
e
1
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,
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[
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13
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54
+
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(
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wh
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GHz
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r
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+
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(
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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6
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r
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r
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H
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l
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5
(
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e
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m
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t
r
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c
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r
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y
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3
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2
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1
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So
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epre
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o
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tio
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f
o
r
D2
D
p
air
s
is
r
ep
r
es
en
ted
as
:
=
{
,
}
(
8
)
wh
er
e
b
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[
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,
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d
en
o
tes
th
e
r
eu
s
ed
R
B
in
d
ices
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∈
{
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p
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d
en
o
tes
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s
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ted
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D
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r
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t
with
th
e
MA
T
L
AB
im
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lem
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n
,
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a
n
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it
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wer
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ted
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r
o
m
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d
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cr
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et:
=
{
5
,
10
,
15
,
20
,
23
}
d
B
m
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∈
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≤
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=
23
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B
m
(
9
)
3
.
2
.
2
.
F
it
nes
s
f
un
ct
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n wit
h
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f
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s
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lity
Fo
r
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ch
ch
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t f
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s
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ter
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e
a
g
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r
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ate
s
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s
tem
th
r
o
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g
h
p
u
t is
:
(
)
=
∑
2
=
1
(
)
+
∑
=
1
(
)
(
1
0
)
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
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l
Hyb
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GA
–
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A
o
p
timiz
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fo
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eMB
B
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o
r
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ted
s
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tr
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m
…
(
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h
d
A
z
r
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la
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n
Ju
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h
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Mo
h
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ity
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og
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SIN
R
)
(
1
1
)
T
o
p
r
o
m
o
te
f
air
n
ess
am
o
n
g
D
2
D
lin
k
s
,
J
ain
’
s
f
air
n
ess
in
d
ex
is
co
m
p
u
ted
o
n
D2
D
th
r
o
u
g
h
p
u
ts
:
(
)
=
(
∑
2
=
1
)
2
∑
(
2
)
2
=
1
+
(
1
2
)
A
f
ea
s
ib
ilit
y
p
en
alty
is
im
p
o
s
e
d
wh
en
a
D2
D
lin
k
v
io
lates th
e
SIN
R
th
r
esh
o
ld
SIN
R
th
as in
T
ab
le
2
:
(
)
=
∑
=
1
(
2
<
ℎ
)
,
(
)
=
(
)
(
1
3
)
Fin
ally
,
th
e
h
y
b
r
id
GA
–
SA m
ax
im
izes th
e
weig
h
ted
f
itn
ess
:
(
)
=
(
)
+
(
)
−
(
)
−
(
)
(
1
4
)
wh
er
e
,
,
,
ar
e
f
ix
ed
weig
h
ts
.
I
n
ter
f
er
en
ce
is
r
ep
r
esen
te
d
th
r
o
u
g
h
a
s
tab
le
p
r
o
x
y
d
er
i
v
ed
f
r
o
m
t
h
e
in
v
er
s
e
SIN
R
o
f
D2
D
lin
k
s
:
(
)
=
1
∑
1
10
2
/
10
+
=
1
(
1
5
)
3
.
2
.
3
.
G
A
o
pera
t
o
rs
GA
b
eg
in
s
with
a
r
an
d
o
m
ly
g
en
er
ated
p
o
p
u
latio
n
o
f
s
ize
as
in
T
ab
le
2
.
Fo
r
ea
ch
g
e
n
er
at
io
n
=
1
,
…
,
:
i)
s
elec
tio
n
:
to
u
r
n
am
en
t
s
elec
tio
n
b
ased
o
n
f
itn
ess
r
an
k
in
g
;
ii)
c
r
o
s
s
o
v
er
:
with
p
r
o
b
ab
ilit
y
,
o
f
f
s
p
r
in
g
ex
c
h
an
g
e
R
B
/p
o
wer
g
en
es
u
s
in
g
a
r
an
d
o
m
m
ask
;
iii)
m
u
tatio
n
:
with
p
r
o
b
a
b
ilit
y
,
eith
er
(
i
)
R
B
g
en
e
←
r
a
n
din
t
(
1
,
)
o
r
(
ii)
p
o
wer
g
e
n
e
is
s
h
if
ted
to
a
n
eig
h
b
o
r
i
n
g
lev
el
with
in
an
d
clip
p
ed
to
v
alid
b
o
u
n
d
s
; a
n
d
iv
)
e
liti
s
m
:
th
e
to
p
in
d
iv
i
d
u
als ar
e
p
r
eser
v
ed
.
3
.
2
.
4
.
SA
re
f
inem
ent
em
bed
ded
in G
A
SA
is
ap
p
lied
to
r
ef
in
e
th
e
to
p
f
r
ac
tio
n
o
f
in
d
iv
id
u
als
p
er
g
e
n
er
atio
n
(
T
ab
le
2
:
=
10
%
)
.
A
n
eig
h
b
o
r
s
o
lu
tio
n
is
g
e
n
er
at
ed
b
y
p
er
tu
r
b
in
g
o
n
e
R
B
g
en
e
o
r
o
n
e
p
o
wer
g
en
e.
L
et
Δ
=
(
x
′
)
−
(
x
)
.
T
h
e
n
eig
h
b
o
r
is
ac
ce
p
ted
if
Δ
≥
0
,
o
r
w
ith
p
r
o
b
a
b
ilit
y
e
xp
(
Δ
/
)
wh
en
Δ
<
0
.
T
h
e
te
m
p
er
atu
r
e
d
ec
r
ea
s
es
g
eo
m
etr
ically
:
←
(
1
6
)
wh
er
e
=
0
.
95
(
T
ab
le
2
)
.
SA r
u
n
s
f
o
r
a
f
ix
ed
n
u
m
b
e
r
o
f
s
tep
s
p
e
r
ca
ll to
en
s
u
r
e
p
r
ac
tical
r
u
n
tim
e.
3
.
2
.
5
.
T
er
m
ina
t
io
n a
nd
o
utput
T
h
e
h
y
b
r
id
GA
–
SA
r
u
n
s
f
o
r
a
m
ax
im
u
m
o
f
g
en
er
atio
n
s
(
T
ab
le
2
)
.
T
h
e
f
in
al
o
u
tp
u
t
is
th
e
b
est
ch
r
o
m
o
s
o
m
e
∗
th
at
m
a
x
im
izes
(
)
,
p
r
o
v
id
in
g
th
e
R
B
ass
ig
n
m
e
n
t
an
d
p
o
wer
s
elec
tio
n
f
o
r
all
D2
D
p
ai
r
s
.
T
h
e
r
esu
ltin
g
allo
ca
tio
n
is
u
s
e
d
to
c
o
m
p
u
te
SIN
R
,
th
r
o
u
g
h
p
u
t,
in
ter
f
er
en
ce
p
r
o
x
y
,
f
air
n
es
s
,
an
d
co
n
v
er
g
en
ce
b
eh
av
io
r
r
ep
o
r
ted
in
s
ec
tio
n
4
.
3
.
3
.
Co
m
pu
t
a
t
io
na
l
c
o
m
plex
it
y
T
h
e
co
m
p
u
tatio
n
al
co
s
t
is
d
o
m
in
ated
b
y
r
ep
ea
te
d
f
itn
ess
ev
alu
atio
n
s
b
ec
au
s
e
ea
c
h
ev
alu
atio
n
r
eq
u
ir
es
SIN
R
an
d
r
ate
co
m
p
u
tatio
n
s
f
o
r
all
C
UE
an
d
D
2
D
lin
k
s
u
n
d
e
r
R
B
r
eu
s
e.
L
et
b
e
th
e
n
u
m
b
er
o
f
C
UE
s
,
th
e
n
u
m
b
er
o
f
D2
D
p
air
s
,
th
e
GA
p
o
p
u
latio
n
s
iz
e,
an
d
th
e
n
u
m
b
er
o
f
g
en
er
a
tio
n
s
.
I
n
d
en
s
e
r
eu
s
e,
th
e
wo
r
s
t
-
ca
s
e
ev
alu
atio
n
co
s
t scale
s
as
:
=
(
+
2
)
(
1
7
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1693
-
6
9
3
0
TEL
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
24
,
No
.
3
,
J
u
n
e
20
26
:
7
6
5
-
7
7
8
772
T
h
u
s
,
GA
co
m
p
lex
ity
is
(
)
.
I
n
th
e
h
y
b
r
i
d
s
ch
em
e,
SA
r
ef
in
em
en
t
is
ap
p
lied
to
in
d
iv
id
u
als
p
er
g
en
e
r
atio
n
with
SA
s
tep
s
,
r
esu
ltin
g
in
an
ad
d
itio
n
al
c
o
s
t
(
)
.
T
h
er
ef
o
r
e,
th
e
o
v
er
all
h
y
b
r
i
d
co
m
p
lex
ity
is
:
=
(
(
1
+
)
(
+
2
)
)
(
1
8
)
wh
ich
r
em
ain
s
tr
ac
tab
le
f
o
r
o
f
f
lin
e
o
r
s
em
i
-
s
tatic
o
p
tim
izatio
n
in
d
en
s
e
eM
B
B
u
n
d
er
lay
s
ce
n
ar
io
s
,
co
n
s
is
ten
t
with
th
e
r
u
n
tim
e
p
r
ac
ticality
d
is
cu
s
s
ed
in
s
ec
tio
n
4
.
3
.
4
.
Sim
ula
t
i
o
n
s
et
up
T
h
e
s
im
u
latio
n
e
n
v
ir
o
n
m
en
t
f
o
llo
ws
a
s
in
g
le
-
ce
ll
5
G
NR
u
p
lin
k
u
n
d
er
la
y
D2
D
s
ettin
g
,
wh
er
e
D2
D
tr
an
s
m
itter
–
r
ec
eiv
er
p
air
s
r
e
u
s
e
u
p
lin
k
R
B
s
as
s
ig
n
ed
to
C
UE
s
.
T
h
e
b
aselin
e
s
ce
n
ar
io
ad
o
p
ts
=
20
C
UE
s
an
d
=
30
D2
D
p
air
s
with
in
a
5
0
0
m
ce
ll
r
ad
iu
s
.
T
h
e
t
o
tal
b
an
d
wid
th
o
f
1
0
MH
z
is
d
iv
id
e
d
in
to
=
50
R
B
s
,
p
r
o
d
u
cin
g
a
p
e
r
-
R
B
b
an
d
wid
th
RB
=
/
.
All
ch
an
n
els
in
co
r
p
o
r
ate
d
is
tan
ce
-
d
ep
e
n
d
en
t
p
ath
-
lo
s
s
,
lo
g
-
n
o
r
m
al
s
h
ad
o
win
g
,
an
d
R
ay
leig
h
f
ad
in
g
.
Fo
r
co
n
v
e
r
g
en
ce
p
lo
ts
as
in
Fig
u
r
es
3
-
5
,
th
e
n
etwo
r
k
to
p
o
lo
g
y
an
d
ch
an
n
el
r
ea
lizatio
n
s
ar
e
f
r
o
ze
n
to
en
s
u
r
e
a
f
air
g
en
er
atio
n
-
by
-
g
en
er
atio
n
co
m
p
ar
is
o
n
a
cr
o
s
s
GA,
SA,
an
d
h
y
b
r
id
GA
–
SA.
Fo
r
SIN
R
C
DF
ev
alu
atio
n
in
Fig
u
r
e
2
an
d
r
o
b
u
s
tn
ess
an
aly
s
is
,
m
u
lti
-
d
r
o
p
Mo
n
te
-
C
ar
lo
tr
ials
ar
e
u
s
ed
wh
er
e
u
s
er
lo
ca
tio
n
s
an
d
ch
an
n
el
r
ea
lizatio
n
s
ar
e
r
an
d
o
m
ize
d
in
ea
ch
tr
ial.
All
s
im
u
latio
n
s
ar
e
im
p
lem
en
ted
in
MA
T
L
AB
(
R
2
0
2
3
b
)
.
T
h
e
co
m
p
lete
s
im
u
latio
n
an
d
alg
o
r
ith
m
p
ar
am
eter
s
u
s
ed
to
g
en
er
ate
all
f
ig
u
r
es a
r
e
s
u
m
m
a
r
ized
in
T
a
b
le
2
.
4.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
T
h
is
s
ec
tio
n
p
r
esen
ts
an
d
an
al
y
ze
s
th
e
s
im
u
latio
n
r
esu
lts
o
b
t
ain
ed
f
r
o
m
th
e
p
r
o
p
o
s
ed
h
y
b
r
i
d
GA
–
SA
s
p
ec
tr
u
m
allo
ca
tio
n
alg
o
r
ith
m
.
T
h
e
p
er
f
o
r
m
a
n
ce
is
ev
alu
ated
in
ter
m
s
o
f
SIN
R
d
is
tr
ib
u
tio
n
,
th
r
o
u
g
h
p
u
t,
in
ter
f
er
en
ce
lev
els,
f
air
n
ess
,
an
d
co
n
v
er
g
e
n
ce
b
eh
a
v
io
r
.
T
h
e
p
r
o
p
o
s
ed
h
y
b
r
id
m
et
h
o
d
is
co
m
p
ar
ed
with
s
tan
d
alo
n
e
GA
an
d
SA a
lg
o
r
ith
m
s
to
d
em
o
n
s
tr
ate
its
ef
f
ec
tiv
en
ess
in
eM
B
B
-
o
r
ien
ted
5
G
D2
D
s
ce
n
ar
io
s
.
4
.
1
.
SI
NR
Dis
t
ributio
n
Fig
u
r
e
2
s
h
o
ws
th
e
cu
m
u
lativ
e
d
is
tr
ib
u
tio
n
f
u
n
ctio
n
(
C
DF)
o
f
th
e
D2
D
SIN
R
f
o
r
GA,
SA,
an
d
th
e
p
r
o
p
o
s
ed
h
y
b
r
id
GA
–
SA
u
n
d
er
th
e
S1
b
aselin
e
s
ce
n
ar
io
.
T
h
e
r
esu
lts
ar
e
o
b
tain
ed
f
r
o
m
m
u
lti
-
d
r
o
p
Mo
n
t
e
C
ar
lo
tr
ials
to
ac
co
u
n
t
f
o
r
r
an
d
o
m
u
s
er
lo
ca
tio
n
s
an
d
c
h
an
n
el
r
ea
lizatio
n
s
,
th
u
s
p
r
o
v
i
d
in
g
a
s
tatis
tically
r
ep
r
esen
tativ
e
co
m
p
ar
is
o
n
o
f
th
e
SIN
R
d
is
tr
ib
u
tio
n
s
u
n
d
er
d
if
f
er
en
t
s
p
ec
tr
u
m
allo
ca
tio
n
s
tr
ateg
ies.
Ov
er
all,
th
e
p
r
o
p
o
s
ed
h
y
b
r
i
d
GA
–
SA
ac
h
iev
es
a
co
n
s
is
ten
tly
r
ig
h
t
-
s
h
if
ted
SIN
R
C
DF
co
m
p
ar
ed
to
GA
an
d
SA,
in
d
icatin
g
th
at
a
lar
g
er
f
r
ac
ti
o
n
o
f
D2
D
lin
k
s
ex
p
er
ien
ce
h
ig
h
er
SIN
R
v
alu
es.
T
h
is
im
p
r
o
v
em
e
n
t
is
m
ain
l
y
attr
ib
u
ted
to
th
e
c
o
m
p
lem
e
n
tar
y
s
ea
r
ch
b
e
h
av
io
r
o
f
th
e
h
y
b
r
id
d
esig
n
:
GA
p
er
f
o
r
m
s
g
lo
b
al
ex
p
lo
r
atio
n
ac
r
o
s
s
RB
–
p
o
wer
co
m
b
in
atio
n
s
,
wh
i
le
SA
r
ef
in
es
p
r
o
m
is
in
g
ca
n
d
id
ate
s
o
lu
tio
n
s
th
r
o
u
g
h
lo
ca
l
ex
p
lo
itatio
n
.
As
a
r
esu
lt,
h
y
b
r
id
GA
–
SA
is
m
o
r
e
ef
f
ec
tiv
e
in
av
o
id
i
n
g
s
u
b
o
p
tim
al
r
eu
s
e
p
atter
n
s
th
at
lead
to
s
ev
er
e
co
-
tier
(
D2
D
-
to
-
D2
D)
a
n
d
cr
o
s
s
-
tier
(
C
UE
-
to
-
D2
D)
in
ter
f
er
en
c
e.
I
n
co
n
tr
ast,
GA
m
ay
r
eq
u
ir
e
m
o
r
e
g
en
er
atio
n
s
to
s
tab
ilize
n
ea
r
a
g
o
o
d
o
p
er
atin
g
r
eg
io
n
b
ec
au
s
e
its
s
to
ch
asti
c
o
p
er
ato
r
s
ca
n
s
till
g
en
er
ate
in
ter
f
e
r
en
ce
-
h
ea
v
y
o
f
f
s
p
r
in
g
,
wh
ile
SA
alo
n
e
ca
n
co
n
v
er
g
e
to
lo
ca
ll
y
o
p
tim
al
allo
ca
tio
n
s
th
at
d
ep
en
d
s
tr
o
n
g
ly
o
n
th
e
in
itial
s
o
lu
tio
n
.
T
h
e
h
y
b
r
id
f
r
am
ew
o
r
k
m
itig
ates
b
o
th
lim
itatio
n
s
b
y
a
p
p
ly
in
g
SA
r
e
f
in
em
en
t
to
th
e
b
est
-
p
er
f
o
r
m
in
g
ca
n
d
id
ates
d
u
r
in
g
ev
o
l
u
tio
n
,
th
er
eb
y
im
p
r
o
v
i
n
g
th
e
f
in
al
SIN
R
d
is
tr
ib
u
tio
n
u
n
d
er
th
e
s
am
e
p
a
r
am
eter
b
u
d
g
et
.
4
.
2
.
Ag
g
re
g
a
t
e
t
hro
ug
hp
ut
o
v
er
g
ener
a
t
io
ns
T
h
r
o
u
g
h
p
u
t
is
a
cr
itical
p
er
f
o
r
m
an
ce
in
d
icato
r
f
o
r
eM
B
B
s
er
v
ices,
r
ef
lectin
g
th
e
n
etwo
r
k
’
s
ab
ilit
y
to
s
u
p
p
o
r
t
h
ig
h
d
ata
r
ate
ap
p
lic
atio
n
s
.
Fig
u
r
e
3
illu
s
tr
ates
th
e
co
n
v
e
r
g
en
ce
tr
en
d
o
f
s
y
s
tem
th
r
o
u
g
h
p
u
t
o
v
er
g
en
er
atio
n
s
f
o
r
GA,
SA,
a
n
d
h
y
b
r
id
GA
–
SA.
T
h
e
th
r
o
u
g
h
p
u
t
m
etr
ic
is
c
o
m
p
u
te
d
as
th
e
ag
g
r
eg
ate
s
u
m
r
ate
o
f
th
e
u
n
d
e
r
lay
s
y
s
tem
(
D2
D
+
u
p
lin
k
C
UE
)
u
s
in
g
Sh
a
n
n
o
n
ca
p
ac
ity
,
co
n
s
is
ten
t
with
th
e
s
y
s
tem
m
o
d
el
an
d
T
ab
le
2
p
ar
am
ete
r
s
ettin
g
s
.
F
o
r
co
n
v
er
g
en
ce
co
m
p
a
r
is
o
n
,
t
h
e
to
p
o
lo
g
y
an
d
c
h
an
n
el
co
m
p
o
n
e
n
ts
ar
e
f
i
x
ed
(
f
r
o
ze
n
)
in
t
h
e
MA
T
L
AB
im
p
lem
en
tatio
n
s
o
th
at
p
er
f
o
r
m
an
ce
v
ar
iatio
n
s
r
ef
lect
alg
o
r
ith
m
ic
b
eh
av
io
r
r
ath
e
r
th
an
r
an
d
o
m
c
h
an
n
el
f
lu
ctu
ati
o
n
s
.
T
h
e
h
y
b
r
id
GA
–
SA
cu
r
v
e
d
e
m
o
n
s
tr
ates
f
aster
an
d
m
o
r
e
s
tab
le
im
p
r
o
v
em
en
t
in
th
r
o
u
g
h
p
u
t
ac
r
o
s
s
g
en
er
atio
n
s
c
o
m
p
a
r
ed
t
o
G
A
an
d
SA.
T
h
is
b
eh
av
io
r
in
d
icate
s
th
at
SA
-
b
ased
r
ef
in
em
en
t
e
n
h
an
ce
s
ex
p
lo
itatio
n
o
f
h
ig
h
-
q
u
ality
s
o
lu
tio
n
s
d
is
co
v
er
ed
b
y
GA,
th
er
eb
y
im
p
r
o
v
in
g
th
e
b
est
-
so
-
f
ar
th
r
o
u
g
h
p
u
t
tr
ajec
to
r
y
.
GA
ty
p
ically
s
h
o
ws
g
r
ad
u
al
im
p
r
o
v
em
e
n
t
b
u
t
m
a
y
ex
h
ib
it
s
lo
wer
s
t
ab
ilizatio
n
b
ec
au
s
e
cr
o
s
s
o
v
er
/m
u
tatio
n
ca
n
tem
p
o
r
ar
ily
r
ed
u
ce
s
o
lu
tio
n
q
u
ali
ty
b
ef
o
r
e
s
elec
tio
n
r
ec
o
v
er
s
b
etter
ca
n
d
id
ates.
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
Hyb
r
id
GA
–
S
A
o
p
timiz
a
tio
n
fo
r
eMB
B
-
o
r
ien
ted
s
p
ec
tr
u
m
…
(
Mo
h
d
A
z
r
u
la
z
w
a
n
Ju
s
o
h
@
Mo
h
d
Yu
s
o
ff
)
773
Me
an
wh
ile,
th
e
SA
cu
r
v
e
ex
h
ib
its
lim
ited
o
r
in
co
n
s
is
ten
t
g
r
o
wth
ac
r
o
s
s
g
en
er
atio
n
s
b
ec
au
s
e
SA
i
s
f
u
n
d
am
e
n
tally
a
lo
ca
l
s
ea
r
c
h
p
r
o
ce
s
s
;
r
ep
ea
ted
r
u
n
s
m
ay
n
o
t
g
u
ar
an
tee
m
o
n
o
to
n
ic
im
p
r
o
v
e
m
en
t
u
n
less
s
tr
o
n
g
in
itializatio
n
o
r
ad
d
itio
n
al
ex
p
lo
r
atio
n
is
in
tr
o
d
u
ce
d
.
Fr
o
m
an
eM
B
B
p
er
s
p
ec
tiv
e,
t
h
e
h
y
b
r
id
GA
–
SA
th
r
o
u
g
h
p
u
t
en
h
a
n
ce
m
en
t
is
i
m
p
o
r
tan
t
b
ec
au
s
e
d
e
n
s
e
u
n
d
e
r
lay
r
eu
s
e
ca
n
ea
s
ily
b
ec
o
m
e
in
ter
f
er
en
ce
-
lim
ited
.
B
y
jo
in
tly
o
p
tim
izin
g
R
B
r
eu
s
e
d
ec
is
io
n
s
an
d
D2
D
p
o
wer
lev
els,
h
y
b
r
id
GA
–
SA
im
p
r
o
v
es
s
p
ec
tr
al
r
eu
s
e
ef
f
icien
cy
wh
ile
m
ain
tain
i
n
g
f
ea
s
ib
le
SIN
R
lev
els,
lead
in
g
to
h
ig
h
e
r
ag
g
r
eg
ate
th
r
o
u
g
h
p
u
t
.
Fig
u
r
e
2
.
SIN
R
C
DF c
o
m
p
ar
is
o
n
f
o
r
GA,
SA,
an
d
h
y
b
r
id
GA
-
SA a
lg
o
r
ith
m
s
Fig
u
r
e
3
.
Ag
g
r
eg
ate
t
h
r
o
u
g
h
p
u
t o
f
D2
D
p
air
s
v
er
s
u
s
g
en
er
atio
n
f
o
r
GA,
SA,
a
n
d
h
y
b
r
id
GA
-
SA a
lg
o
r
ith
m
s
4
.
3
.
I
nte
rf
er
ence
an
a
ly
s
is
I
n
ter
f
er
e
n
ce
r
ed
u
ctio
n
is
ess
en
tial
f
o
r
m
ai
n
tain
in
g
t
h
e
Qo
S
o
f
b
o
th
ce
llu
lar
a
n
d
D
2
D
u
s
er
s
.
Fig
u
r
e
4
s
h
o
ws
th
e
in
ter
f
er
en
ce
t
r
en
d
o
v
er
g
e
n
er
atio
n
s
u
s
in
g
an
in
t
er
f
er
en
ce
p
r
o
x
y
d
e
r
iv
ed
f
r
o
m
th
e
SIN
R
b
eh
av
io
r
(
lo
wer
v
al
u
es
in
d
icate
b
etter
i
n
ter
f
er
en
ce
co
n
d
itio
n
s
)
.
T
h
is
m
etr
ic
r
ef
lects
th
e
co
m
b
in
ed
i
m
p
ac
t
o
f
co
-
tier
a
n
d
cr
o
s
s
-
tier
in
ter
f
er
e
n
ce
in
th
e
u
n
d
er
lay
s
y
s
tem
,
th
u
s
p
r
o
v
i
d
in
g
i
n
s
ig
h
t
in
to
h
o
w
ea
c
h
alg
o
r
ith
m
m
an
ag
es
in
ter
f
er
en
ce
wh
ile
p
u
r
s
u
in
g
th
r
o
u
g
h
p
u
t.
Fig
u
r
e
4
.
Av
e
r
ag
e
in
ter
f
er
en
ce
lev
el
v
er
s
u
s
g
en
e
r
atio
n
f
o
r
G
A,
SA,
an
d
h
y
b
r
id
GA
-
SA a
lg
o
r
ith
m
s
T
h
e
h
y
b
r
id
GA
–
SA
co
n
s
is
ten
tly
ac
h
iev
es
a
lo
wer
in
ter
f
e
r
en
ce
p
r
o
x
y
c
o
m
p
ar
e
d
to
G
A
an
d
SA,
in
d
icatin
g
m
o
r
e
ef
f
ec
tiv
e
in
te
r
f
er
en
ce
m
itig
atio
n
.
T
h
is
o
u
tc
o
m
e
is
ex
p
ec
ted
b
ec
a
u
s
e
SA
r
ef
in
em
en
t
lo
ca
lly
s
ea
r
ch
es
ar
o
u
n
d
h
ig
h
-
p
er
f
o
r
m
in
g
GA
ca
n
d
id
ates
an
d
p
r
o
b
a
b
ilis
tically
ac
ce
p
t
s
m
o
v
es
th
at
r
ed
u
ce
in
ter
f
er
e
n
ce
with
o
u
t
s
ev
er
ely
s
ac
r
if
icin
g
th
r
o
u
g
h
p
u
t,
esp
ec
ially
wh
en
th
e
tem
p
er
atu
r
e
is
s
till
h
ig
h
.
C
o
n
s
eq
u
en
tly
,
th
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1693
-
6
9
3
0
TEL
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
24
,
No
.
3
,
J
u
n
e
20
26
:
7
6
5
-
7
7
8
774
h
y
b
r
id
f
r
am
ewo
r
k
ca
n
escap
e
in
ter
f
er
en
ce
-
d
o
m
in
ate
d
allo
ca
tio
n
s
th
at
wo
u
ld
o
th
e
r
wis
e
tr
ap
SA
an
d
s
lo
w
d
o
wn
GA’
s
p
r
o
g
r
ess
.
GA
alo
n
e
ten
d
s
to
im
p
r
o
v
e
i
n
ter
f
er
en
ce
g
r
ad
u
ally
as
s
elec
ti
o
n
d
r
i
v
es
th
e
p
o
p
u
latio
n
t
o
war
d
s
b
etter
ca
n
d
id
ates,
b
u
t
th
e
p
r
o
ce
s
s
ca
n
b
e
less
ef
f
icien
t
b
ec
au
s
e
m
u
tatio
n
an
d
c
r
o
s
s
o
v
er
m
a
y
s
till
in
tr
o
d
u
ce
R
B
co
llis
io
n
s
o
r
ag
g
r
ess
iv
e
p
o
wer
p
atter
n
s
th
at
in
cr
ea
s
e
in
ter
f
er
en
ce
.
SA
alo
n
e,
wh
ile
ca
p
ab
le
o
f
f
in
e
-
tu
n
i
n
g
lo
ca
lly
,
is
s
en
s
itiv
e
to
s
tar
t
in
g
p
o
in
ts
;
th
er
ef
o
r
e,
it
m
a
y
n
o
t
r
eliab
ly
lo
ca
te
g
lo
b
a
l
lo
w
-
in
ter
f
er
e
n
ce
co
n
f
ig
u
r
atio
n
s
u
n
d
e
r
d
en
s
e
r
eu
s
e
co
n
d
itio
n
s
.
T
h
ese
r
esu
lts
co
n
f
ir
m
th
at
h
y
b
r
i
d
GA
–
SA
ac
h
iev
es
a
m
o
r
e
b
alan
ce
d
o
p
tim
izatio
n
b
y
c
o
n
tr
o
llin
g
in
ter
f
er
e
n
ce
w
h
ile
s
till
im
p
r
o
v
in
g
t
h
r
o
u
g
h
p
u
t,
s
u
p
p
o
r
tin
g
th
e
d
esig
n
o
b
jectiv
e
o
f
i
n
ter
f
er
e
n
ce
-
awa
r
e
s
p
ec
tr
u
m
allo
ca
tio
n
f
o
r
d
en
s
e
eM
B
B
-
o
r
ien
ted
D2
D
r
eu
s
e.
4
.
4
.
F
a
irness
i
nd
ex
Fig
u
r
e
5
p
r
esen
ts
th
e
J
ain
’
s
f
a
ir
n
ess
in
d
ex
o
v
er
g
e
n
er
atio
n
s
f
o
r
GA,
SA,
an
d
Hy
b
r
id
GA
–
SA,
wh
er
e
f
air
n
ess
is
co
m
p
u
ted
ac
r
o
s
s
D2
D
lin
k
th
r
o
u
g
h
p
u
ts
.
Fair
n
e
s
s
i
s
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o
r
tan
t
in
u
n
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er
lay
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s
y
s
tem
s
b
ec
au
s
e
m
ax
im
izin
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s
u
m
th
r
o
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g
h
p
u
t
alo
n
e
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n
lead
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is
p
r
o
p
o
r
ti
o
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ate
r
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r
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ly
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b
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et
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n
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k
lin
k
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s
u
f
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er
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ten
t
lo
w
r
ates
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u
e
to
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ter
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e
r
en
ce
o
r
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n
f
av
o
r
a
b
le
ch
a
n
n
el
co
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d
itio
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s
.
T
h
e
h
y
b
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id
GA
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SA d
em
o
n
s
tr
ates c
o
n
s
is
ten
tly
h
ig
h
er
f
air
n
ess
v
alu
es a
cr
o
s
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en
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co
m
p
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in
d
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a
m
o
r
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itab
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d
is
tr
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u
tio
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f
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2
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th
r
o
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g
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p
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h
is
im
p
r
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v
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m
en
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lig
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with
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itn
ess
f
u
n
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esig
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p
licitly
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id
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alo
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g
with
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p
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d
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ter
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h
e
h
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r
ef
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em
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elp
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th
at
m
a
x
im
ize
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r
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g
h
p
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t
at
th
e
ex
p
e
n
s
e
o
f
s
t
ar
v
in
g
ce
r
tain
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D
lin
k
s
,
p
ar
ticu
lar
ly
th
o
s
e
ex
p
o
s
ed
to
s
tr
o
n
g
er
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ter
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e
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ce
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Fair
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ess
is
m
ea
s
u
r
ed
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s
in
g
J
ain
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Fair
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I
n
d
ex
t
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ev
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ate
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d
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th
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p
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t a
m
o
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g
D2
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u
s
er
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Fig
u
r
e
5
.
Fair
n
ess
in
d
ex
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u
s
g
en
er
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f
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r
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SA,
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d
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b
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im
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B
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h
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d
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est
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