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C
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Sectio
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2
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p
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Sectio
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4
.
2.
L
T
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NE
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RK
S
T
RUC
T
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P
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w
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ts
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T
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co
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ca
lled
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ac
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d
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ctio
n
s
o
f
E
P
C
ar
e
to
d
eliv
er
ac
ce
s
s
to
o
th
e
r
n
et
w
o
r
k
s
b
ased
o
n
i
n
ter
n
e
t
p
r
o
to
co
l
(
I
P
)
an
d
p
r
o
v
id
e
d
i
f
f
er
en
t
f
u
n
c
tio
n
s
f
o
r
id
le
an
d
ac
tiv
e
eq
u
ip
m
e
n
t.
T
h
e
f
u
n
ctio
n
s
o
f
E
P
C
ar
e
p
er
f
o
r
m
ed
u
s
i
n
g
t
h
e
f
o
llo
w
i
n
g
n
o
d
es,
p
ac
k
et
-
d
ata
n
et
w
o
r
k
g
ate
w
a
y
(P
-
GW
)
,
s
er
v
i
n
g
g
a
te
w
a
y
(S
-
GW
)
,
an
d
m
o
b
il
it
y
-
m
a
n
ag
e
m
e
n
t
e
n
tit
y
(
MM
E
)
[
4
]
,
[
5
]
.
L
T
E
u
tili
ze
O
FDM
A
i
n
d
o
w
n
li
n
k
a
n
d
SC
F
DM
A
in
u
p
li
n
k
p
lu
s
MI
MO
s
u
p
p
o
r
t.
o
r
th
o
g
o
n
al
f
r
eq
u
en
c
y
-
d
i
v
is
io
n
m
u
ltip
le
-
ac
c
ess
(
OF
DM
A
)
d
eli
v
er
s
g
o
o
d
s
p
ec
tr
al
ef
f
icie
n
c
y
,
lo
w
la
ten
c
y
,
a
n
d
h
i
g
h
r
ates [
6
]
-
[
8
]
.
T
h
e
eNB
is
o
n
l
y
ele
m
e
n
t
in
t
h
e
ac
ce
s
s
n
et
w
o
r
k
co
m
p
ar
ed
w
it
h
2
G
a
n
d
3
G
n
et
w
o
r
k
s
,
it
ex
ec
u
tes
m
an
y
f
u
n
ctio
n
s
li
k
e
d
y
n
a
m
ic
n
et
wo
r
k
r
eso
u
r
ce
allo
ca
tio
n
(
s
ch
e
d
u
lin
g
)
,
I
P
h
ea
d
er
co
m
p
r
es
s
io
n
/d
e
-
co
m
p
r
es
s
io
n
,
h
an
d
o
v
er
,
an
d
m
a
n
y
o
th
er
s
.
T
h
ese
eNB
s
is
co
n
n
ec
ted
w
it
h
ea
ch
o
th
er
b
y
a
n
in
ter
f
ac
e
ca
lled
X2
in
ter
f
ac
e,
an
d
co
n
n
ec
ted
to
E
P
C
u
s
in
g
S
1
in
ter
f
ac
e.
Fig
u
r
e
1
d
is
p
lay
t
h
e
b
asic
s
tr
u
ct
u
r
e
o
f
4G
-
L
T
E
n
et
w
o
r
k
co
m
p
o
n
en
t
s
.
I
n
2
0
0
8
r
elea
s
e
8
o
f
L
T
E
s
p
ec
if
icatio
n
s
w
a
s
r
ea
d
y
,
s
o
m
e
r
e
f
er
en
ce
s
n
a
m
ed
i
t
3
.
9
G
b
ec
au
s
e
it
d
id
n
’
t
s
atis
f
y
I
MT
r
eq
u
ir
e
m
en
ts
r
ela
ted
to
m
a
x
i
m
u
m
d
ata
r
ate.
R
elea
s
e
9
w
as
i
n
tr
o
d
u
ce
d
b
y
e
n
d
in
g
o
f
2
0
0
9
w
it
h
m
an
y
n
e
w
f
ea
t
u
r
es.
I
n
2
0
1
0
,
n
e
w
r
elea
s
e
w
as
i
n
tr
o
d
u
ce
d
(
r
elea
s
e
1
0
-
L
T
E
-
A
d
v
a
n
ce
d
(
L
T
E
-
A
)
)
as
a
h
u
g
e
s
tep
in
L
T
E
ev
o
lu
tio
n
,
s
o
m
e
r
ef
er
e
n
ce
s
n
a
m
ed
it
4
G
b
ec
au
s
e
it
is
th
e
f
ir
s
t
s
y
s
te
m
s
atis
f
y
I
MT
r
eq
u
ir
e
m
e
n
t.
T
h
ese
n
e
w
f
ea
tu
r
e
s
in
v
o
lv
e
m
u
lti
p
le
-
in
p
u
t
m
u
l
tip
le
-
o
u
tp
u
t
(
MI
MO
)
,
ca
r
r
ier
ag
g
r
eg
atio
n
(
C
A
)
,
tec
h
n
iq
u
es
,
co
o
r
d
in
ated
m
u
lti
-
p
o
in
t
tr
a
n
s
m
is
s
io
n
/r
ec
ep
tio
n
(
C
o
MP
)
,
h
eter
o
g
en
eo
u
s
n
et
w
o
r
k
s
(
Het
Nets),
an
d
r
ela
y
i
n
g
.
T
h
e
c
u
r
r
e
n
t
w
o
r
k
is
n
o
w
o
n
g
o
i
n
g
f
o
r
R
e
l
e
as
e
1
6
t
h
a
t
is
c
a
l
le
d
5
G
p
h
a
s
e
2
[
9
]
.
L
T
E
i
n
t
h
e
5
G
H
z
u
n
li
c
en
s
e
d
s
p
e
c
t
r
u
m
,
n
am
e
ly
l
i
c
en
s
e
as
s
is
t
e
d
a
c
c
es
s
(
L
A
A
)
an
d
L
T
E
-
Un
l
ic
en
s
e
d
t
e
ch
n
o
l
o
g
i
e
s
,
i
s
e
x
p
e
c
t
e
d
t
o
g
r
o
w
in
th
e
n
e
a
r
f
u
tu
r
e
l
ik
e
l
i
c
en
s
e
d
s
p
e
ct
r
u
m
d
u
e
t
o
in
c
r
e
as
in
g
ly
l
o
a
d
e
d
.
F
o
r
m
o
b
i
l
e
o
p
e
r
at
o
r
s
,
t
h
is
o
f
f
e
r
s
a
s
o
l
u
t
i
o
n
e
n
a
b
li
n
g
t
h
em
t
o
u
t
il
i
z
e
t
h
e
f
r
ee
u
n
l
ic
en
s
e
d
b
an
d
s
a
l
o
n
g
w
i
th
a
l
i
c
en
s
e
d
c
e
l
l
u
s
in
g
c
a
r
r
ie
r
a
g
g
r
eg
a
ti
o
n
(
C
A
)
[
1
0
]
.
Fig
u
r
e
1
.
L
T
E
n
et
w
o
r
k
co
m
p
o
n
en
t
s
L
T
E
d
ep
lo
y
O
FDM
A
,
s
i
n
g
le
ca
r
r
ier
-
f
r
eq
u
e
n
c
y
d
iv
i
s
io
n
m
u
ltip
le
ac
ce
s
s
(
FDM
A
)
a
s
m
u
lti
p
le
ac
ce
s
s
m
et
h
o
d
s
s
p
ec
if
ied
f
o
r
L
T
E
d
o
w
n
li
n
k
(
DL
)
,
an
d
u
p
lin
k
(
UL
)
,
r
esp
ec
tiv
el
y
.
I
n
OFDM
A
th
e
b
an
d
ar
e
d
iv
id
ed
in
to
s
u
b
-
ca
r
r
ier
s
s
p
ac
ed
b
y
1
5
k
Hz
an
d
1
2
ad
j
ac
en
t
s
u
b
-
ca
r
r
ier
s
th
at
to
g
e
th
er
o
cc
u
p
y
1
8
0
k
Hz,
f
o
r
m
a
u
n
it
o
f
ass
i
g
n
ed
r
eso
u
r
ce
s
,
w
h
ich
n
a
m
ed
r
eso
u
r
ce
b
lo
ck
(
R
B
)
.
R
B
is
th
e
m
i
n
i
m
u
m
b
a
n
d
w
id
th
allo
ca
tio
n
p
o
s
s
ib
le
.
An
d
f
r
o
m
ti
m
e
v
ie
w
th
e
s
e
1
2
s
u
b
ca
r
r
ier
s
h
as
0
.
5
m
s
w
h
ic
h
ca
lled
s
lo
t.
T
h
e
n
et
w
o
r
k
b
an
d
w
id
t
h
d
iv
id
ed
to
a
f
i
x
ed
g
r
o
u
p
o
f
R
B
s
as l
is
ted
i
n
T
a
b
le
1
[
1
1
]
.
T
h
e
m
ed
ia
ac
ce
s
s
co
n
t
r
o
l
(
MA
C
)
la
y
er
in
eNB
p
er
f
o
r
m
s
s
ch
ed
u
li
n
g
f
u
n
ctio
n
s
,
w
h
ic
h
ai
m
to
ass
i
g
n
R
B
s
to
d
if
f
er
en
t
s
er
v
ice
in
UL
an
d
D
L
d
ir
ec
tio
n
s
.
T
h
is
s
ch
ed
u
ler
m
a
k
es
as
s
ig
n
m
e
n
t
d
ec
is
io
n
s
ev
er
y
tr
an
s
m
is
s
io
n
ti
m
e
in
ter
v
al
(
T
T
I
)
,
w
h
ich
h
a
s
1
m
s
d
u
r
atio
n
,
b
y
as
s
ig
n
i
n
g
R
B
s
to
m
o
b
i
l
e
s
u
b
s
cr
ib
er
s
.
T
h
e
s
ch
ed
u
ler
also
d
eter
m
i
n
es
d
i
f
f
er
en
t
tr
an
s
m
i
s
s
io
n
p
ar
a
m
eter
s
lik
e
tr
an
s
m
itted
p
o
w
er
a
n
d
m
o
d
u
latio
n
/co
d
in
g
s
ch
e
m
e
(
MCS
)
,
w
h
ic
h
p
o
in
te
d
to
as
r
ad
io
lin
k
ad
ap
tatio
n
[
1
2
]
.
C
ell
r
ef
er
en
ce
s
ig
n
al
s
(
C
R
S)
is
tr
an
s
m
itted
i
n
Evaluation Warning : The document was created with Spire.PDF for Python.
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a
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d
eter
m
i
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B
s
an
d
is
u
s
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in
d
o
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li
n
k
ch
an
n
el
esti
m
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n
b
y
d
if
f
er
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t
u
s
er
s
.
C
R
S
ar
e
u
s
ed
f
o
r
f
ee
d
b
ac
k
ca
lcu
latio
n
a
n
d
d
e
m
o
d
u
latio
n
[
1
3
]
-
[
1
5
]
.
T
ab
le
1
.
R
es
o
u
r
ce
b
lo
ck
s
v
s
BW
BW
-
M
H
z
RB
1
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4
6
3
15
5
25
10
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75
20
100
3.
P
L
ANNI
NG
P
A
RAM
E
T
E
R
S
L
i
n
k
b
u
d
g
et
(
L
iB
u
)
is
a
p
o
w
er
f
u
l
to
o
l,
w
h
ic
h
ca
n
b
e
u
s
ed
in
d
if
f
er
e
n
t
n
et
w
o
r
k
p
er
f
o
r
m
an
ce
ca
lcu
latio
n
s
.
B
y
u
s
in
g
e
m
p
ir
ical
m
o
d
els
a
n
d
t
h
eo
r
etica
l
eq
u
atio
n
s
a
n
d
p
u
tti
n
g
t
h
e
m
to
g
et
h
er
w
it
h
co
n
f
i
g
u
r
atio
n
tab
les
an
d
lo
ad
v
alu
e
s
,
th
e
w
h
o
le
n
et
w
o
r
k
ca
n
b
e
s
im
u
lated
[
1
6
]
.
L
in
k
b
u
d
g
et
c
alcu
latio
n
s
ar
e
i
m
p
le
m
en
ted
i
n
d
i
m
en
s
io
n
i
n
g
s
tag
e
i
n
t
h
e
p
lan
n
i
n
g
p
r
o
ce
s
s
;
it
in
v
o
l
v
es
a
s
eq
u
en
tial
s
tep
o
f
ca
lcu
la
tio
n
s
th
at
h
av
e
d
if
f
er
e
n
t
n
ee
d
s
li
k
e
an
ten
n
a
r
ad
iatio
n
p
atter
n
,
s
i
m
u
latio
n
ca
p
ac
it
y
r
eq
u
ir
e
m
e
n
ts
,
an
d
co
v
er
ag
e
r
eq
u
ir
e
m
en
ts
[
1
7
]
.
Dim
e
n
s
i
o
n
in
g
p
r
o
ce
s
s
o
u
tp
u
t
is
t
h
e
esti
m
ated
eNB
n
u
m
b
er
s
w
h
ich
s
atis
f
y
th
e
ca
p
ac
it
y
/co
v
er
ag
e
r
eq
u
ir
e
m
en
ts
.
T
h
e
s
ec
o
n
d
p
h
ase
in
p
lan
n
in
g
p
r
o
ce
s
s
is
th
e
d
etail
p
lan
n
in
g
,
w
h
ic
h
is
d
o
n
e
b
y
u
s
i
n
g
p
lan
n
i
n
g
to
o
ls
f
o
r
th
i
s
p
u
r
p
o
s
e
lik
e
U
-
n
e
t
o
r
A
to
ll
s
o
f
t
w
ar
e
[
1
8
]
.
I
n
L
iB
u
,
th
e
d
i
f
f
er
en
t
lo
s
s
e
s
,
g
ai
n
s
,
an
d
m
ar
g
i
n
s
ar
e
an
al
y
ze
d
at
r
ec
eiv
er
an
d
tr
an
s
m
i
tter
to
g
iv
e
m
ax
i
m
u
m
a
llo
w
ab
le
p
ath
lo
s
s
(
M
A
P
L
)
w
h
ic
h
ac
h
iev
e
t
h
e
n
ee
d
ed
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1
9
]
:
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t
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s
m
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p
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)
a
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=
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(
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∗
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+
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W
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1
7
4
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m
/Hz
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t
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th
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r
m
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e,
SIN
R
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s
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g
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s
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to
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p
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d
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th
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r
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n
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m
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t
s
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m
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w
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E
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f
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m
S
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d
is
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to
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ll r
an
g
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s
eq
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t
l
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ter
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s
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ta
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ce
(
I
SD)
a
f
ter
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id
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in
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ad
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p
r
o
p
ag
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n
i
s
s
u
e
s
(
clu
tter
s
)
.
T
h
e
ev
alu
a
tio
n
w
as
d
o
n
e
u
s
i
n
g
C
OST
HA
T
A
-
2
3
1
m
o
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el,
th
is
m
o
d
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is
u
s
ed
f
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r
4
G
-
L
T
E
in
d
if
f
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en
t
en
v
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n
m
e
n
t
s
[
2
0
]
-
[
2
3
]
.
R
ad
i
o
p
r
o
p
ag
atio
n
en
v
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m
e
n
ts
(
clu
tter
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I
n
cl
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d
e
d
en
s
e
u
r
b
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,
s
u
b
-
u
r
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a
n
,
u
r
b
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,
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u
r
al
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m
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s
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T
h
e
d
if
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t
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th
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p
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p
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f
s
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[
2
4
]
.
T
a
b
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2
lis
ts
th
e
d
im
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m
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in
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2
.
L
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d
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p
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4.
RE
SU
L
T
S AN
D
D
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SCU
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atio
(
SIN
R
)
.
In
(
1
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an
d
(
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Da
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u
s
ed
to
g
et
MA
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w
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p
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3
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ll
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s
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r
d
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u
s
t
b
e
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h
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n
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e
im
p
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s
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ite.
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u
r
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2
d
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p
la
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s
th
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tio
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th
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A
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C
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h
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e
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h
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ll
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e
w
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h
e
d
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w
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th
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m
r
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to
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i
s
s
u
es
in
to
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s
id
er
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n
s
.
T
ab
le
3
.
C
ell
r
an
g
e
in
d
i
f
f
er
en
t r
eq
u
ir
ed
th
r
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u
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h
p
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t
T
h
r
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g
h
p
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t
(
k
b
/
s)
C
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0
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5
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1
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Fig
u
r
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2
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MA
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v
s
M
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Fig
u
r
e
3
.
C
ell
r
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g
e
v
s
M
C
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B
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tili
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tio
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v
s
MCS
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n
d
ex
i
s
s
h
o
w
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in
F
ig
u
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4
.
T
h
e
f
ig
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r
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lar
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e
R
B
u
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s
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t
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.
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f
r
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m
8
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%
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s
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g
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to
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s
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Usi
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les
s
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to
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r
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I
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3
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ates
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6
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R
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I
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ize
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26
5.
CO
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et
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f
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f
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m
c
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d
ca
p
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er
s
p
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tiv
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T
h
e
p
ap
er
p
r
esen
ts
th
e
ef
f
ec
t
s
o
f
d
if
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er
en
t
co
n
tr
o
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ch
an
n
e
ls
lik
e
P
DC
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H/P
UC
C
H
o
n
th
e
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s
ed
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B
s
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d
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tal
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y
s
te
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d
.
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h
e
ef
f
ec
t
o
f
lo
ad
p
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ce
n
tag
e
o
f
th
e
n
ei
g
h
b
o
r
ce
lls
o
n
M
A
P
L
h
a
s
b
ee
n
in
v
est
ig
ated
,
th
e
r
esu
lts
s
h
o
w
t
h
at
ab
o
v
e
5
0
%
th
e
M
A
P
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is
d
ec
r
ea
s
ed
w
h
ic
h
lead
s
to
s
m
all
co
v
er
ag
e
ar
ea
.
T
h
e
s
tu
d
y
d
ec
lar
es
th
at
u
s
in
g
h
i
g
h
o
r
d
er
,
MCS
lead
s
to
h
ig
h
th
r
o
u
g
h
p
u
t
b
u
t
i
n
s
a
m
e
ti
m
e
it
d
ec
r
ea
s
es
t
h
e
ce
ll
r
an
g
e,
s
o
th
er
e
i
s
tr
ad
e
-
o
f
f
b
et
w
ee
n
th
e
ca
p
ac
it
y
o
f
eNB
ce
lls
an
d
co
v
er
ag
e
ar
ea
in
L
T
E
n
et
w
o
r
k
d
esi
g
n
.
Fro
m
th
e
s
t
u
d
y
it
is
clea
r
th
at
w
e
h
a
v
e
to
ch
o
o
s
e
th
e
lo
ca
tio
n
o
f
eNB
s
clo
s
e
to
t
h
e
u
s
er
s
a
s
m
u
c
h
as
p
o
s
s
ib
le,
th
i
s
is
t
o
d
ec
r
ea
s
e
th
e
u
t
ilizatio
n
o
f
R
B
s
to
allo
w
h
ig
h
th
r
o
u
g
h
p
u
t a
n
d
eNB
ca
p
ac
it
y
RE
F
E
R
E
NC
E
S
[1
]
T
c
h
a
o
,
E.
T
.
,
G
a
d
z
e
,
J.
D.,
a
n
d
Ag
y
a
p
o
n
g
,
J.
O.,
“
P
e
rf
o
rm
a
n
c
e
Ev
a
lu
a
ti
o
n
o
f
a
De
p
lo
y
e
d
4
G
LT
E
Ne
t
w
o
rk
,
”
In
ter
n
a
t
io
n
a
l
J
o
u
r
n
a
l
o
f
A
d
v
a
n
c
e
d
Co
m
p
u
ter
S
c
ien
c
e
a
n
d
A
p
p
li
c
a
t
io
n
s
(
IJ
ACS
A)
,
v
o
l.
9
,
n
o
.
3
,
p
p
.
1
6
5
-
1
7
8
,
2
0
1
8
,
d
o
i:
1
0
.
1
4
5
6
9
/IJA
CS
A
.
2
0
1
8
.
0
9
0
3
2
5
.
[2
]
Ja
b
e
r,
M
.
,
Da
wy
,
Z.
,
A
k
l,
N.,
a
n
d
Ya
a
c
o
u
b
,
E.
,
“
T
u
to
rial
o
n
L
T
E/
LT
E
-
A
c
e
ll
u
lar
n
e
tw
o
rk
d
ime
n
sio
n
i
n
g
u
si
n
g
it
e
ra
ti
v
e
sta
ti
stica
l
a
n
a
l
y
sis,
”
IEE
E
Co
mm
u
n
ica
ti
o
n
s
S
u
rv
e
y
s
&
T
u
to
ria
ls
,
v
o
l.
1
8
,
n
o
.
2
,
p
p
.
1
3
5
5
-
1
3
8
3
,
2
0
1
5
,
d
o
i:
1
0
.
1
1
0
9
/CO
M
S
T
.
2
0
1
5
.
2
5
1
3
4
4
0
.
[3
]
Jh
a
,
S
.
K.
,
R
o
k
a
y
a
,
R.
,
B
h
a
g
a
t,
A
.
,
K
h
a
n
,
A
.
R.
,
&
A
r
y
a
l,
L
.
,
“
L
TE
Ne
tw
o
rk
:
Co
v
e
ra
g
e
a
n
d
Ca
p
a
c
i
ty
P
lan
n
in
g
-
4
G
Ce
ll
u
lar
Ne
tw
o
rk
P
lan
n
i
n
g
a
ro
u
n
d
Ba
n
e
p
a
,
”
2
0
1
7
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Ne
two
rk
in
g
a
n
d
Ne
tw
o
rk
Ap
p
li
c
a
ti
o
n
s (
Na
NA)
,
p
p
.
1
8
0
-
1
8
5
,
2
0
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[4
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li
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.
D
.
d
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rtatio
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,
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ly
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iq
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e
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tréa
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2
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1
3
.
[6
]
A
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d
,
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.
A
.
,
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.
,
a
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Evaluation Warning : The document was created with Spire.PDF for Python.
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[7
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Ha
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M
.
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Ha
jar,
A
.
,
a
n
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,
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.
,
“
Orth
o
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ra
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[8
]
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ra
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tt
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.
[9
]
Jo
u
d
,
M
.
,
“
P
ico
Ce
ll
Ra
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g
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Ex
p
a
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A
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tero
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s
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s
,
”
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a
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sis
,
Un
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P
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li
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n
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e
Ca
tal
u
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y
a
(UP
C),
2
0
1
3
.
[1
0
]
S
a
h
a
,
S
.
K.,
Vla
c
h
o
u
,
C.
,
Ko
u
tso
n
ik
o
las
,
D.,
a
n
d
Kim
,
K.
H
.
,
“
De
M
iL
T
E:
De
tec
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n
g
a
n
d
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it
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ti
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E
In
terf
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ter
p
rise
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i
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F
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in
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G
Hz
,
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Pro
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In
ter
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o
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Ho
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3
2
3
6
7
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3
3
2
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5
0
1
.
[1
1
]
P
ires
,
R.
,
“
Co
v
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ra
g
e
a
n
d
Ef
f
icie
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c
y
P
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o
f
LT
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in
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n
S
c
e
n
a
ri
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s
,
”
Diss
.
M
.
S
c
.
t
h
e
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In
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n
ico
,
L
isb
o
n
,
P
o
rtu
g
a
l,
2
0
1
2
.
[1
2
]
Io
sif
,
O.,
a
n
d
Bă
n
ică
,
I.
,
“
L
T
E
P
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a
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n
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se
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,
”
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ter
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ti
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n
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l
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o
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rn
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l
o
n
A
d
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s in
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2
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p
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5
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8
,
2
0
1
2
.
[1
3
]
M
e
id
li
n
g
e
r,
M
.
,
a
n
d
W
a
n
g
,
Q.,
“
P
e
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o
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a
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c
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Ev
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lu
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ter
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n
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(
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S
S
IP)
,
2
0
1
2
,
p
p
.
2
5
2
-
2
5
5
.
[1
4
]
Da
v
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d
o
v
A
.
,
M
o
r
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z
o
v
G.
,
“
En
h
a
n
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d
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terf
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0
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5
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7
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2
5
.
[1
5
]
Ku
rra
s,
M
.
,
T
h
iele
,
L
.
,
Ha
u
ste
i
n
,
T
.
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L
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i,
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.
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a
n
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n
,
C.
,
“
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sio
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li
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stra
in
ts,”
2
0
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4
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u
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ig
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(
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p
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9
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5
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8
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,
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0
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6
,
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USIP
CO.
2
0
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6
.
7
7
6
0
5
9
6
.
[1
6
]
Da
v
id
o
v
ić,
M
.
,
T
o
m
ić,
I.
,
Dra
ji
ć
,
D.,
a
n
d
Čič
a
,
Z.
,
“
On
th
e
Im
p
a
c
t
o
f
NB
-
Io
T
o
n
L
T
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M
BB
Do
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n
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n
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lf
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r J
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EL
F
OR.2
0
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8
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6
1
1
9
0
8
.
[1
7
]
Be
c
h
ta
K.
,
R
y
b
a
k
o
w
sk
i
M.,
Hs
ie
h
F
.
,
a
n
d
Ch
izh
ik
D
,
“
M
o
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e
li
n
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o
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ra
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a
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lu
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5
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sy
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m
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2
0
1
8
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E
5
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W
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Fo
r
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(
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GW
F)
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W
F
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2
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6
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6
9
.
[1
8
]
A
to
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rk
p
lan
n
i
n
g
sim
u
latio
n
to
o
l,
[
On
li
n
e
].
A
v
a
il
a
b
le:
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tt
p
:/
/
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.
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o
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.
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-
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e
rv
ie
w
[1
9
]
S
h
a
rm
a
,
P
.
K.,
S
h
a
rm
a
,
D.,
a
n
d
G
u
p
ta,
A
.
“
C
e
ll
Co
v
e
ra
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n
d
L
in
k
Bu
d
g
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t
Ca
lcu
latio
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s
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n
LT
E
S
y
ste
m
”
,
In
d
i
a
n
J
o
u
rn
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l
o
f
S
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ien
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e
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n
d
T
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,
v
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.
9
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n
o
.
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1
,
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p
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1
0
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st/2
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1
6
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1
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1
0
7
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3
5
.
[2
0
]
T
a
lu
k
d
e
r,
Z.
H.,
Isla
m
,
S
.
S
.
,
M
a
h
jab
e
e
n
,
D.,
A
h
m
e
d
,
A
.
,
Ra
f
iq
u
e
,
S
.
,
a
n
d
Ra
sh
i
d
,
M
.
A
.
,
“
Ce
ll
c
o
v
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ra
g
e
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v
a
lu
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ti
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n
f
o
r
LT
E
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n
d
W
iM
A
X
i
n
w
irele
ss
c
o
m
m
u
n
ica
ti
o
n
sy
ste
m
,
”
W
o
r
ld
Ap
p
li
e
d
S
c
ien
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e
s
J
o
u
rn
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l
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,
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1
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p
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1
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0
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0
6
.
[2
1
]
S
a
e
e
d
,
A
.
,
Re
h
m
a
n
,
H.
U.,
a
n
d
M
a
so
o
d
,
M
.
H.,
“
P
e
rf
o
rm
a
n
c
e
A
n
a
l
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si
s
a
n
d
C
o
m
p
a
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n
o
f
Ra
d
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P
ro
p
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ti
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n
M
o
d
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o
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Ou
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o
o
r
E
n
v
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n
m
e
n
t
in
4
G
LT
E
Ne
t
w
o
rk
,
”
2
0
1
3
.
[2
2
]
Ak
h
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