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and pla
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wid
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CC B
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C
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Af
r
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Yu
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Dep
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tm
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t o
f
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,
Pad
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State
Po
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tec
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W
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I
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d
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af
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id
1.
I
NT
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D
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I
O
N
Fifth
-
g
en
er
atio
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(
5
G)
m
o
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co
m
m
u
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is
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k
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en
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ler
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I
n
f
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m
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an
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C
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m
m
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T
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h
n
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(
I
C
T
)
,
s
u
p
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tin
g
s
m
ar
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city
s
er
v
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I
o
T
ap
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licatio
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s
,
an
d
I
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d
o
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tr
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f
o
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m
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th
r
o
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,
lo
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-
late
n
cy
,
r
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wir
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co
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m
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[
1
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.
W
ith
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f
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b
p
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ab
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m
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ted
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ea
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an
d
v
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[
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.
Pad
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5
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lau
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ch
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b
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m
s
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in
2
0
2
1
[
3
]
,
m
ak
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it
an
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p
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tan
t
ca
s
e
s
tu
d
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f
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wo
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ld
n
etwo
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k
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f
o
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m
an
ce
.
Dr
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test
s
tu
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s
h
o
w
th
at
s
ig
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v
ar
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co
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s
id
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ab
ly
ac
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o
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lo
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s
,
in
f
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d
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r
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,
p
h
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o
b
s
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,
an
d
wea
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[
4
]
.
T
h
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v
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s
ar
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in
f
l
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d
b
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in
ter
-
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ll
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an
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s
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in
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s
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b
s
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an
d
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co
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d
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s
[
5
]
.
5
G
n
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ad
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(
NR
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s
u
p
p
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ts
h
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-
f
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eq
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s
p
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s
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m
m
W
av
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d
ata
r
ates
at
th
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co
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t
o
f
lim
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an
g
e
[
6
]
,
[
7
]
.
an
d
ac
h
iev
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h
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a
r
ch
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ctu
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n
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d
s
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twar
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-
d
ef
in
ed
n
etwo
r
k
in
g
(
SDN)
[
8
]
,
[
9
]
.
Netwo
r
k
s
licin
g
allo
ws
lo
g
ical
s
ep
a
r
atio
n
o
f
t
h
e
n
etwo
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k
to
s
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if
f
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s
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v
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d
s
s
im
u
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s
ly
-
f
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x
a
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p
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p
r
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itizin
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v
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s
tr
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am
in
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o
r
I
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T
-
b
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h
ea
lth
ca
r
e
[
1
0
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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I
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T
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,
Vo
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1
5
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No
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4
,
D
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c
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b
er
20
2
6
:
1
7
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7
9
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1792
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f
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in
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ass
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ltip
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f
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q
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m
is
s
io
n
d
ir
ec
tly
to
war
d
u
s
er
s
[
1
1
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–
[
1
4
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.
Key
im
p
lem
e
n
tatio
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ch
allen
g
es
in
clu
d
e
s
u
b
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s
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cted
b
y
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u
ild
in
g
s
an
d
v
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g
etatio
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[
1
5
]
.
as
well
a
s
in
f
r
astru
ctu
r
e
r
ea
d
in
ess
,
r
eg
u
lato
r
y
ad
ju
s
tm
e
n
t,
an
d
in
v
estme
n
t
r
eq
u
ir
em
e
n
ts
,
esp
ec
ially
in
d
e
n
s
e
u
r
b
an
a
r
ea
s
[
1
6
]
.
T
wo
m
ain
d
ep
lo
y
m
en
t
ar
ch
ite
ctu
r
es
h
av
e
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ee
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s
tan
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ar
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ize
d
b
y
3
GPP
-
non
-
s
tan
d
alo
n
e
(
NSA)
an
d
SA
[
1
7
]
,
[
1
8
]
,
ea
ch
with
d
if
f
er
en
t
tr
ad
e
-
o
f
f
s
in
co
v
er
ag
e,
ad
o
p
tio
n
s
p
ee
d
,
a
n
d
co
s
t
[
1
9
]
.
Dr
iv
e
test
s
r
em
a
in
ess
en
tial
to
v
er
if
y
r
ea
l
-
wo
r
ld
p
er
f
o
r
m
an
ce
,
p
ar
ticu
lar
l
y
f
o
r
h
ig
h
-
f
r
eq
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e
n
cy
s
p
ec
tr
u
m
v
u
l
n
er
ab
le
to
o
b
s
tr
u
ctio
n
[
2
0
]
,
[
2
1
]
,
a
n
d
d
r
iv
e
test
d
ata
ca
n
f
u
r
th
er
s
er
v
e
as
tr
a
in
in
g
d
ata
f
o
r
m
ac
h
in
e
-
lear
n
in
g
-
b
ased
n
etwo
r
k
o
p
tim
izatio
n
[
2
2
]
,
[
2
3
]
.
B
ey
o
n
d
co
v
er
ag
e
,
em
er
g
i
n
g
s
er
v
ices
s
u
ch
as
ex
ten
d
ed
r
ea
li
ty
(
XR
)
will
p
lace
ad
d
itio
n
al
d
em
a
n
d
s
o
n
laten
cy
an
d
q
u
ality
o
f
e
x
p
er
ie
n
ce
in
f
u
tu
r
e
m
o
b
ile
n
etwo
r
k
s
[
2
4
]
.
R
ec
en
t
s
tu
d
ies
h
av
e
ex
am
in
ed
5
G
NSA
p
er
f
o
r
m
an
ce
in
m
ed
iu
m
-
s
ized
d
ev
el
o
p
in
g
-
co
u
n
tr
y
cities.
A
2
0
2
5
s
tu
d
y
o
n
B
an
d
u
n
g
C
ity
ap
p
lied
th
e
3
GPP
T
R
3
8
.
9
0
1
UM
a
p
r
o
p
a
g
atio
n
m
o
d
el
an
d
f
o
u
n
d
o
n
ly
3
0
%
o
f
ex
is
tin
g
s
ites
ac
h
iev
ed
ad
eq
u
ate
co
v
er
ag
e,
wh
ile
a
r
elate
d
2
0
2
4
s
tu
d
y
p
r
o
p
o
s
ed
a
s
im
u
latio
n
m
o
d
el
f
o
r
5
G
NSA
d
ep
lo
y
m
en
t
s
p
ec
if
ically
f
o
r
em
er
g
in
g
c
o
u
n
tr
ies.
Ho
we
v
er
,
b
o
t
h
wer
e
s
im
u
latio
n
-
f
o
c
u
s
ed
an
d
co
n
d
u
cte
d
in
lar
g
er
m
etr
o
p
o
litan
ar
ea
s
,
leav
in
g
a
g
ap
f
o
r
c
o
m
b
in
e
d
d
r
iv
e
-
test
–
s
im
u
latio
n
v
alid
atio
n
in
m
ed
i
u
m
-
s
ized
co
astal c
ities
s
u
ch
as Pad
an
g
[
2
5
]
.
Pre
v
io
u
s
s
tu
d
ies
h
av
e
ev
alu
at
ed
5
G
p
er
f
o
r
m
a
n
ce
u
s
in
g
d
r
i
v
e
test
m
ea
s
u
r
em
en
ts
alo
n
e
[
2
6
]
,
[
2
7
]
,
o
r
p
r
o
p
ag
atio
n
s
im
u
latio
n
al
o
n
e
[
2
8
]
,
[
2
9
]
.
b
u
t
r
ar
ely
b
o
th
to
g
eth
er
,
leav
in
g
th
e
co
n
s
is
ten
cy
b
etwe
en
m
ea
s
u
r
ed
an
d
s
im
u
lated
p
e
r
f
o
r
m
a
n
ce
in
s
u
f
f
icien
tly
u
n
d
er
s
to
o
d
f
o
r
m
ed
i
u
m
-
s
ized
I
n
d
o
n
esian
cities.
T
h
is
s
tu
d
y
th
er
ef
o
r
e
in
teg
r
ate
s
d
r
iv
e
test
m
ea
s
u
r
em
en
ts
wit
h
Ato
ll
-
b
ased
p
r
o
p
a
g
atio
n
s
im
u
latio
n
to
ev
alu
ate
th
e
5
G
NSA
n
etwo
r
k
in
Pad
an
g
C
ity
,
v
ali
d
atin
g
s
im
u
lati
o
n
r
esu
lts
ag
ain
s
t
ac
t
u
al
f
iel
d
m
ea
s
u
r
em
e
n
ts
to
p
r
o
v
id
e
p
r
ac
tical
in
s
ig
h
ts
f
o
r
f
u
tu
r
e
5
G
d
ep
lo
y
m
en
t a
n
d
o
p
ti
m
izatio
n
in
m
ed
i
u
m
-
s
ized
u
r
b
an
en
v
ir
o
n
m
en
ts
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
2
.1
.
Resea
rc
h
d
esig
n
T
h
is
s
tu
d
y
ad
o
p
ts
an
o
b
s
er
v
atio
n
al
f
ield
-
m
ea
s
u
r
em
en
t
ap
p
r
o
ac
h
co
m
b
in
ed
with
p
r
o
p
ag
atio
n
s
im
u
latio
n
,
in
teg
r
atin
g
f
iv
e
s
t
ag
es:
(
a)
d
r
iv
e
test
d
ata
ac
q
u
is
itio
n
,
d
ef
in
in
g
d
ev
ice
co
n
f
i
g
u
r
atio
n
,
s
ca
n
n
in
g
in
ter
v
al,
an
d
m
o
b
ilit
y
s
p
ee
d
;
(
b
)
d
ata
p
r
ep
r
o
ce
s
s
in
g
,
v
al
id
a
tin
g
r
aw
l
o
g
s
an
d
ex
t
r
ac
tin
g
R
S
R
P/S
I
N
R
v
alu
es
with
g
eo
s
p
atial
tag
g
in
g
;
(
c)
R
S
R
P
-
SIN
R
co
r
r
elatio
n
a
n
aly
s
is
u
s
in
g
k
e
y
p
er
f
o
r
m
an
ce
in
d
icato
r
(
KPI
)
th
r
esh
o
ld
s
to
id
en
tify
a
n
o
m
alo
u
s
(
in
ter
f
er
en
ce
)
p
o
in
ts
;
(
d
)
At
o
ll
-
b
ased
s
im
u
latio
n
u
s
in
g
an
N7
8
co
n
f
i
g
u
r
ati
o
n
with
b
ea
m
f
o
r
m
in
g
m
o
d
elin
g
;
an
d
(
e
)
p
er
f
o
r
m
an
ce
ev
alu
ati
o
n
,
c
o
m
p
a
r
in
g
d
r
i
v
e
test
r
esu
lts
with
s
im
u
latio
n
o
u
tp
u
ts
.
Me
asu
r
e
m
en
t
r
o
u
te
s
wer
e
s
elec
ted
to
r
e
p
r
esen
t
r
esid
en
tial,
c
o
m
m
er
cial,
an
d
ar
ter
ial
-
r
o
a
d
en
v
ir
o
n
m
en
ts
in
Pad
a
n
g
C
ity
,
allo
win
g
r
ea
l
-
tim
e
ca
p
tu
r
e
o
f
r
ad
io
p
ar
am
eter
s
u
n
d
e
r
m
o
b
il
ity
co
n
d
itio
n
s
.
T
h
e
to
o
ls
an
d
s
o
f
twar
e
u
s
ed
at
ea
c
h
s
tag
e
ar
e
s
u
m
m
ar
ize
d
in
T
ab
le
1
.
R
esear
ch
s
tag
e
f
lo
w
as sh
o
wn
in
Fig
u
r
e
1
.
Fig
u
r
e
1
.
R
esear
ch
s
tag
e
f
lo
w
T
ab
le
1
.
So
f
twar
e
s
p
ec
if
icatio
n
s
S
o
f
t
w
a
r
e
S
p
e
c
i
f
i
c
a
t
i
o
n
s
U
se
G
-
N
e
t
Tr
a
c
k
P
r
o
G
y
o
k
o
v
S
o
l
u
t
i
o
n
s
v
3
2
.
7
;
A
n
d
r
o
i
d
≥
6
.
0
M
o
b
i
l
e
n
e
t
w
o
r
k
a
n
a
l
y
s
i
s/
m
e
a
s
u
r
e
m
e
n
t
(
5
G
/
4
G
/
3
G
/
2
G
)
A
t
o
l
l
F
o
r
sk
R
a
d
i
o
p
l
a
n
n
i
n
g
,
s
i
m
u
l
a
t
i
o
n
&
o
p
t
i
m
i
z
a
t
i
o
n
G
o
o
g
l
e
E
a
r
t
h
P
r
o
—
3
D
r
e
a
l
-
t
i
me
f
i
e
l
d
c
o
n
d
i
t
i
o
n
r
e
f
e
r
e
n
c
e
M
i
c
r
o
s
o
f
t
Ex
c
e
l
M
i
c
r
o
s
o
f
t
3
6
5
,
2
0
2
1
D
a
t
a
p
r
o
c
e
s
si
n
g
O
p
e
n
S
i
g
n
a
l
v
7
.
6
0
(
2
0
2
5
)
Lo
c
a
t
i
n
g
mo
b
i
l
e
t
o
w
e
r
p
o
i
n
t
s
N
p
e
r
f
n
P
e
r
f
S
A
S
;
A
n
d
r
o
i
d
≥
5
.
0
5
G
c
o
v
e
r
a
g
e
ma
p
p
i
n
g
& s
p
e
e
d
t
e
st
2
.
2
.
M
ea
s
urem
ent
pa
ra
m
et
e
rs
T
h
e
KPI
s
ev
alu
ated
ar
e
R
SR
P
an
d
SIN
R
.
R
S
R
P
in
d
icate
s
th
e
s
tr
en
g
th
o
f
th
e
r
ec
eiv
ed
r
ef
er
en
ce
s
ig
n
al
(
R
SR
P
=
Pᵣ
ₛ
)
,
wh
er
e
h
i
g
h
er
v
alu
es
(
clo
s
er
to
0
d
B
m
)
in
d
icate
a
s
tr
o
n
g
er
s
ig
n
al.
SI
NR
in
d
icate
s
s
ig
n
al
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
5
G
n
etw
o
r
k
p
erfo
r
ma
n
ce
a
n
a
l
ysis
a
n
d
p
la
n
n
i
n
g
fo
r
th
e
d
ev
e
lo
p
men
t o
f 5
G
s
ervices
…
(
A
fr
iz
a
l Yu
h
a
n
ef
)
1793
q
u
ality
r
elativ
e
to
in
ter
f
er
en
ce
an
d
n
o
is
e,
SIN
R
=
S
/
(
I
+
N)
,
wh
er
e
S
is
th
e
r
ec
e
iv
ed
s
ig
n
al
p
o
wer
,
I
is
in
ter
f
er
en
ce
p
o
wer
,
a
n
d
N
is
n
o
is
e
p
o
wer
; h
ig
h
e
r
SIN
R
r
ef
lects b
etter
q
u
ality
.
B
ased
o
n
th
e
T
elk
o
m
s
el
5
G
NSA
KPI
s
tan
d
ar
d
,
R
SR
P ≥
−9
2
d
B
m
an
d
SIN
R
≥
3
d
B
ar
e
class
if
ied
as g
o
o
d
.
2
.
3
.
Driv
e
t
est
pro
ce
du
re
a
nd
m
ea
s
urem
ent
ro
ute
m
a
p
Data
wer
e
s
am
p
led
at
1
-
s
ec
o
n
d
in
ter
v
als
with
v
eh
icle
s
p
ee
d
o
f
2
0
-
4
0
k
m
/h
to
b
alan
ce
m
ea
s
u
r
em
en
t
s
tab
ilit
y
an
d
r
ea
lis
tic
u
r
b
an
u
s
ag
e
co
n
d
i
tio
n
s
.
T
wo
r
o
u
tes
wer
e
s
u
r
v
ey
ed
:
R
o
u
te
A
(
J
l.
Ku
r
ao
Pag
an
g
-
Simp
a
n
g
Pu
n
g
g
ai
-
B
er
o
k
R
ay
a)
a
n
d
R
o
u
te
B
(
L
u
b
u
k
B
u
ay
a
-
Air
T
awa
r
-
Pad
an
g
C
ity
C
en
ter
)
,
co
v
er
i
n
g
ar
e
as
o
f
v
a
r
y
in
g
b
u
ild
in
g
d
en
s
ity
a
n
d
tr
af
f
ic,
in
clu
d
i
n
g
Mo
u
n
t
Pan
g
ilu
n
,
Ku
r
a
o
Pag
an
g
,
Simp
an
g
Pu
n
g
g
ai,
an
d
B
er
o
k
R
ay
a.
R
ec
o
r
d
ed
p
ar
am
eter
s
in
clu
d
ed
R
SR
P,
SIN
R
,
C
QI
,
u
tili
ze
d
b
an
d
wid
th
,
E
AR
F
C
N,
an
d
g
No
d
eB I
D.
2
.
4
.
Sy
nchro
niza
t
io
n
bet
wee
n driv
e
t
est
a
nd
s
im
ula
t
io
n
All
d
r
iv
e
test
s
am
p
les
wer
e
g
eo
r
ef
er
e
n
ce
d
u
s
in
g
GPS
co
o
r
d
in
ates
an
d
m
atch
e
d
to
c
o
r
r
esp
o
n
d
in
g
lo
ca
tio
n
s
o
n
th
e
Ato
ll
co
v
er
ag
e
m
ap
,
f
o
cu
s
in
g
o
n
p
o
in
ts
wh
er
e
b
o
th
s
im
u
lated
an
d
m
ea
s
u
r
ed
R
SR
P
wer
e
av
ailab
le.
SIN
R
o
b
s
er
v
atio
n
s
wer
e
an
aly
ze
d
t
o
g
eth
er
with
s
im
u
lated
co
v
er
a
g
e
to
in
v
est
ig
ate
d
is
cr
ep
an
cies
ca
u
s
ed
b
y
in
ter
f
er
en
ce
,
e
n
v
ir
o
n
m
en
tal
o
b
s
tr
u
ctio
n
,
an
d
p
r
ac
tical
d
ep
lo
y
m
en
t
c
o
n
d
itio
n
s
,
en
ab
lin
g
a
d
ir
ec
t
co
m
p
ar
is
o
n
b
e
twee
n
th
eo
r
etica
l p
r
ed
ictio
n
s
an
d
ac
tu
al
p
e
r
f
o
r
m
an
ce
.
2
.
5
.
Sim
ula
t
i
o
n
m
et
ho
d (
At
o
ll)
R
ad
io
p
r
o
p
a
g
atio
n
s
im
u
latio
n
was
p
er
f
o
r
m
ed
i
n
Ato
ll
t
o
ev
alu
ate
th
e
p
lan
n
ed
5
G
NR
NS
A
co
v
er
ag
e,
em
p
lo
y
in
g
th
e
C
o
s
t
-
Hata
p
r
o
p
ag
ati
o
n
m
o
d
el
to
esti
m
ate
p
ath
lo
s
s
b
ased
o
n
d
is
tan
ce
,
f
r
eq
u
en
c
y
,
an
d
an
ten
n
a
h
ei
g
h
t.
T
h
e
n
etw
o
r
k
o
p
er
ated
in
th
e
N
7
8
b
an
d
(
3
3
0
0
MH
z)
,
with
ea
ch
m
a
cr
o
s
ite
co
n
f
i
g
u
r
ed
u
s
in
g
a
s
tan
d
ar
d
tr
i
-
s
ec
to
r
al
an
ten
n
a
lay
o
u
t
p
r
o
v
id
in
g
3
6
0
°
az
im
u
th
al
co
v
er
ag
e.
All
tr
an
s
m
itter
s
wer
e
d
ep
lo
y
e
d
with
o
u
t
ad
d
itio
n
al
d
o
wn
tilt
,
r
ef
lectin
g
th
e
in
itial
co
m
m
er
cial
r
o
llo
u
t
co
n
f
i
g
u
r
atio
n
,
a
n
d
wer
e
eq
u
ip
p
e
d
with
a
1
2
8
×1
2
8
Ma
s
s
iv
e
MI
MO
ar
r
ay
s
u
p
p
o
r
ted
b
y
th
e
d
ef
au
lt
b
ea
m
f
o
r
m
er
m
o
d
el,
co
n
s
is
ten
t
with
ty
p
ical
5
G
NR
m
ac
r
o
-
la
y
er
d
ep
lo
y
m
en
t.
C
o
m
p
lete
s
im
u
latio
n
p
a
r
am
eter
s
ar
e
s
u
m
m
ar
ized
in
T
ab
le
2
,
co
n
f
ig
u
r
ed
to
ap
p
r
o
x
im
ate
th
e
ac
tu
al
co
m
m
er
cial
d
ep
lo
y
m
e
n
t o
b
s
er
v
ed
d
u
r
in
g
th
e
d
r
iv
e
test
ca
m
p
aig
n
.
T
ab
le
2
.
Ato
ll
s
im
u
latio
n
p
ar
a
m
eter
s
P
a
r
a
me
t
e
r
V
a
l
u
e
P
r
o
p
a
g
a
t
i
o
n
m
o
d
e
l
C
o
s
t
-
H
a
t
a
F
r
e
q
u
e
n
c
y
b
a
n
d
N
7
8
(
3
3
0
0
M
H
z
)
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a
n
d
w
i
d
t
h
5
0
M
H
z
(
N
R
-
A
R
F
C
N
6
2
1
6
6
7
)
A
n
t
e
n
n
a
h
e
i
g
h
t
30
–
3
9
m
S
e
c
t
o
r
c
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n
f
i
g
u
r
a
t
i
o
n
3
se
c
t
o
r
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s
i
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e
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0
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D
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i
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m
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h
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l
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A
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t
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n
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r
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y
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M
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I
M
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e
a
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n
g
m
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l
D
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f
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t
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r
m
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r
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se
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g
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r
e
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l
c
u
l
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t
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n
r
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d
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s
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t
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8
(
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3
0
0
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H
z
)
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
Of
th
e
2
,
7
7
9
c
o
llected
s
am
p
l
es,
2
,
6
9
5
(
9
7
%)
wer
e
co
n
n
ec
ted
to
4
G
L
T
E
an
d
8
4
(
3
%)
to
th
e
5
G
NSA
n
etwo
r
k
,
r
ef
lectin
g
th
e
s
till
-
lim
ited
co
m
m
er
cial
5
G
co
v
er
ag
e
in
Pad
an
g
C
ity
,
as
s
u
m
m
ar
ized
in
T
a
b
le
3
.
Dete
cted
5
G
co
v
e
r
ag
e
was
co
n
ce
n
tr
ated
a
r
o
u
n
d
Ku
r
ao
Pag
an
g
an
d
L
u
b
u
k
B
u
ay
a,
wh
e
r
e
L
T
E
co
n
tin
u
ed
to
o
p
er
ate
as
th
e
an
ch
o
r
n
etwo
r
k
u
n
d
er
th
e
NSA
ar
ch
itectu
r
e
.
Ov
er
all,
th
e
m
ea
s
u
r
ed
R
SR
P
an
d
SIN
R
v
alu
e
s
in
d
icate
s
atis
f
ac
to
r
y
p
er
f
o
r
m
an
ce
in
m
o
s
t
d
ep
lo
y
ed
l
o
ca
tio
n
s
,
alth
o
u
g
h
s
ev
e
r
al
p
o
in
ts
ex
h
ib
ited
d
eg
r
a
d
e
d
s
ig
n
al
q
u
a
lity
d
u
e
to
in
ter
f
er
en
ce
an
d
en
v
ir
o
n
m
e
n
tal
co
n
d
itio
n
s
,
h
ig
h
lig
h
tin
g
th
e
n
ee
d
f
o
r
f
u
r
th
e
r
o
p
tim
izatio
n
; th
ese
f
in
d
i
n
g
s
ar
e
ex
am
in
ed
i
n
d
etail
in
th
e
f
o
ll
o
win
g
s
u
b
s
ec
tio
n
s
.
T
ab
le
3
.
T
o
tal
r
esu
lts
m
ea
s
u
r
em
en
t d
ata
Ty
p
e
N
u
mb
e
r
o
f
P
o
i
n
t
s Dr
i
v
e
Te
st
4
G
LT
E
2
.
6
9
5
5
G
N
S
A
84
To
t
a
l
2
.
7
7
9
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
7
7
6
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
1
5
,
No
.
4
,
D
e
c
em
b
er
20
2
6
:
1
7
9
1
-
1
7
9
9
1794
3
.
1
.
5G
net
wo
r
k
beha
v
io
r
B
ec
au
s
e
G
-
NetT
r
ac
k
Pro
d
ef
au
lts
to
d
is
p
lay
in
g
th
e
L
T
E
an
ch
o
r
o
f
an
NSA
co
n
n
ec
tio
n
,
th
e
ap
p
licatio
n
s
h
o
ws
th
e
d
ev
ice
as
co
n
n
ec
ted
to
L
T
E
ev
en
wh
er
e
a
5
G
NSA
s
es
s
io
n
is
ac
tiv
e
;
ca
r
r
ier
-
ag
g
r
eg
ated
L
T
E
b
a
n
d
wid
th
co
n
f
ig
u
r
atio
n
s
s
u
ch
as
[
2
0
/2
0
/2
0
/1
0
]
MH
z
(
7
0
MH
z
t
o
tal)
wer
e
o
b
s
er
v
e
d
at
th
ese
p
o
i
n
ts
.
I
n
th
e
NSA
ar
ch
itectu
r
e,
c
o
n
tr
o
l
an
d
s
ig
n
al
i
n
g
c
o
n
tin
u
e
to
r
ely
o
n
th
e
L
T
E
an
ch
o
r
w
h
ile
u
s
er
d
ata
is
in
ten
d
e
d
to
b
e
o
f
f
lo
ad
ed
to
th
e
NR
ca
r
r
ier
,
s
o
p
o
in
ts
lab
eled
“
5
G
NSA”
o
r
s
h
o
win
g
“Un
k
n
o
wn
s
er
v
in
g
ce
ll”
en
tr
ies
in
d
icate
NR
co
m
p
o
n
e
n
ts
n
o
t
y
et
f
u
lly
r
ec
o
g
n
ized
b
y
th
e
m
ea
s
u
r
em
e
n
t
ap
p
licatio
n
.
A
r
e
p
r
esen
tativ
e
an
ch
o
r
p
o
i
n
t
r
ec
o
r
d
e
d
R
SR
P
-
8
9
d
B
m
,
SIN
R
1
.
0
d
B
,
C
QI
2
,
an
d
R
SS
I
-
8
9
d
B
m
-
a
s
tab
le
L
T
E
s
ig
n
al
b
u
t
r
elativ
ely
lo
w
SIN
R
/C
QI
,
v
alu
es
th
at
ca
n
co
n
s
tr
ain
d
o
wn
lo
ad
s
p
ee
d
a
n
d
laten
cy
an
d
a
r
e
co
n
s
is
ten
t w
ith
th
e
in
ter
f
e
r
en
ce
b
e
h
av
io
r
an
aly
ze
d
in
s
e
ctio
n
3
.
3
.
3
.
2
.
Sim
ula
t
i
o
n
o
n t
he
a
t
o
ll
Fig
u
r
e
2
p
r
esen
ts
th
e
s
im
u
lated
R
SR
P
co
v
er
ag
e
an
d
its
co
r
r
esp
o
n
d
i
n
g
d
is
tr
ib
u
tio
n
f
o
r
t
h
e
5
G
s
ite
ar
ea
.
T
h
e
s
im
u
latio
n
r
esu
lts
in
d
icate
th
at
o
n
ly
5
.
8
%
o
f
th
e
ar
ea
r
ea
ch
es
o
p
tim
al
s
ig
n
al
(
>
−8
5
d
B
m
)
an
d
1
1
.
4
%
r
ea
ch
e
s
g
o
o
d
s
ig
n
al
(
−
9
2
to
−8
5
d
B
m
)
,
wh
ile
4
7
.
9
%
f
alls
in
th
e
wea
k
-
to
-
m
ed
i
u
m
r
an
g
e
(
−
1
0
2
to
−
9
2
d
B
m
)
an
d
3
4
.
9
%
in
th
e
v
e
r
y
wea
k
r
an
g
e
(
−
1
2
0
t
o
−1
0
2
d
B
m
)
;
m
ea
n
R
SR
P
wa
s
−9
8
.
6
3
d
B
m
(
SD
7
.
4
5
d
B
)
.
T
h
is
s
h
o
ws
th
at
p
lan
n
ed
co
v
er
ag
e
g
en
er
ally
f
o
llo
ws
th
e
ex
p
ec
ted
d
ep
l
o
y
m
en
t
s
ce
n
ar
io
,
alth
o
u
g
h
th
e
lar
g
e
p
r
o
p
o
r
tio
n
o
f
wea
k
-
R
SR
P
ar
ea
s
u
g
g
ests
f
u
r
t
h
er
o
p
tim
izatio
n
is
n
ee
d
e
d
,
c
o
n
s
is
ten
t
with
p
r
ev
io
u
s
Ato
ll
-
b
ased
p
lan
n
in
g
s
tu
d
ies [
3
0
]
,
[
3
1
]
.
Fig
u
r
e
2
.
R
SR
P c
o
v
er
ag
e
o
f
5
G
s
ite
ar
ea
an
d
h
is
to
g
r
am
o
f
5
G
s
ite
ar
ea
Fig
u
r
e
3
s
h
o
ws
th
e
co
r
r
esp
o
n
d
in
g
SIN
R
d
is
tr
ib
u
tio
n
.
T
h
e
b
est
-
q
u
ality
ar
ea
(
b
lu
e
)
co
v
e
r
s
ab
o
u
t
7
.
3
8
k
m
²
(
2
0
%),
b
etter
-
q
u
ality
a
r
e
as
(
g
r
ee
n
/
y
ello
w)
c
o
v
er
1
6
.
2
3
k
m
²
(
4
3
.
9
%)
an
d
8
.
5
8
k
m
²
(
2
3
.
2
%),
an
d
lo
w
-
q
u
ality
ar
ea
co
v
e
r
s
4
.
8
2
k
m
²
(
1
3
%);
m
ea
n
SIN
R
was
5
.
5
6
d
B
(
S
D
6
.
1
9
d
B
)
,
i
n
d
icatin
g
th
at
o
v
er
all
s
im
u
lated
s
ig
n
al
q
u
ality
is
g
en
er
ally
l
o
w
an
d
v
a
r
iab
le.
Fig
u
r
e
3
.
SIN
R
co
v
er
a
g
e
an
d
h
is
to
g
r
am
o
f
5
G
s
ite
r
eg
io
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
5
G
n
etw
o
r
k
p
erfo
r
ma
n
ce
a
n
a
l
ysis
a
n
d
p
la
n
n
i
n
g
fo
r
th
e
d
ev
e
lo
p
men
t o
f 5
G
s
ervices
…
(
A
fr
iz
a
l Yu
h
a
n
ef
)
1795
3
.
3
.
SI
NR
b
a
d but
RSRP
g
ood
Fil
ter
in
g
th
e
d
r
iv
e
test
d
ata
f
o
r
p
o
in
ts
with
g
o
o
d
R
SR
P
b
u
t
p
o
o
r
SIN
R
id
en
tifie
d
s
ix
lo
ca
tio
n
s
,
lis
ted
in
T
ab
le
4
.
T
h
ese
r
esu
lts
in
d
icate
th
at
s
tr
o
n
g
r
ec
eiv
ed
s
ig
n
al
p
o
wer
alo
n
e
d
o
es
n
o
t
g
u
ar
a
n
tee
g
o
o
d
s
ig
n
al
q
u
ality
;
s
im
ilar
in
ter
f
er
en
ce
-
d
r
i
v
en
SIN
R
d
eg
r
ad
at
io
n
d
esp
ite
ad
eq
u
ate
R
SR
P
h
as
b
ee
n
r
ep
o
r
te
d
elsewh
er
e
[
3
2
]
,
[
3
3
]
,
T
h
is
s
u
g
g
ests
th
at
im
p
r
o
v
in
g
in
ter
f
e
r
e
n
ce
co
o
r
d
in
atio
n
an
d
r
ad
i
o
r
eso
u
r
ce
m
an
a
g
em
en
t
m
ay
y
ield
g
r
ea
ter
p
e
r
f
o
r
m
an
c
e
g
ain
s
th
an
s
ig
n
al
-
c
o
v
er
a
g
e
e
n
h
an
ce
m
e
n
t a
lo
n
e.
T
ab
le
4
.
SIN
R
b
ad
b
u
t
R
SR
P
g
ood
Lo
n
g
i
t
u
d
e
La
t
i
t
u
d
e
R
S
R
P
(
d
B
m)
S
I
N
R
(
d
B
)
Te
c
h
n
o
l
o
g
y
Lo
c
a
t
i
o
n
1
0
0
.
3
6
9
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3
4
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.
An
aly
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SR
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p
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am
eter
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R
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B
m)
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3
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t
t
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R
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19
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3
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a
d
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S
R
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l
84
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R
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7
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g
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ad
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ate
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v
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e
.
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ab
le
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.
An
aly
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f
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ar
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eter
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t
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o
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t
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6
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o
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N
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t
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o
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d
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6
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B
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ile
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5
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u
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ity
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n
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)
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lated
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R
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o
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d
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th
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ity
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r
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t
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r
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m)
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d
e
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o
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e
r
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g
e
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e
r
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g
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e
r
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e
n
t
a
g
e
(
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e
l
l
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t
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em
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o
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ce
u
n
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er
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ea
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p
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atin
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itio
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s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
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&
C
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m
u
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T
ec
h
n
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I
SS
N:
2252
-
8
7
7
6
5
G
n
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fr
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1797
T
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m
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ased
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im
u
latio
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h
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n
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n
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ig
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ad
eq
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t f
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d
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p
m
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lik
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r
atitu
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e
to
Pad
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tech
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f
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v
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esear
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h
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co
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tr
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u
tio
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ad
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wo
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k
p
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s
s
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le.
F
UNDING
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NF
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M
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h
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esear
ch
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s
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p
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in
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s
.
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au
th
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ex
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is
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p
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d
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f
th
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Pad
an
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tech
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d
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c
h
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s
s
.
AUTHO
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jo
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C
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to
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Na
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Fu
Af
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Yu
h
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✓
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Z
u
r
n
awita
✓
✓
✓
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✓
✓
Far
h
an
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b
a
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lza
✓
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C
:
C
o
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c
e
p
t
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a
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t
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:
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DATA AV
AI
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AB
I
L
I
T
Y
T
h
is
s
tu
d
y
d
id
n
o
t
in
v
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an
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is
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f
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ata;
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er
ef
o
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e,
d
ata
av
ailab
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lity
is
n
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ap
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licab
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d
atasets
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g
en
er
a
ted
d
u
r
in
g
th
e
co
u
r
s
e
o
f
t
h
is
r
esear
ch
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
7
7
6
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
1
5
,
No
.
4
,
D
e
c
em
b
er
20
2
6
:
1
7
9
1
-
1
7
9
9
1798
RE
F
E
R
E
NC
E
S
[
1
]
A
.
W
u
l
a
n
d
a
r
i
,
M
.
S
u
r
y
a
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g
a
r
a
,
a
n
d
D
.
G
u
n
a
w
a
n
,
“
To
w
a
r
d
n
e
t
w
o
r
k
-
m
a
n
a
g
e
d
5
G
f
i
x
e
d
w
i
r
e
l
e
ss
a
c
c
e
ss
:
t
e
c
h
n
o
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o
g
i
e
s
,
c
h
a
l
l
e
n
g
e
s
,
a
n
d
f
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t
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d
i
r
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c
t
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o
n
s
,
”
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o
rm
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1
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4
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:
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s1
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4
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5
.
[
2
]
M
.
T
o
r
r
e
s
V
e
g
a
e
t
a
l
.
,
“
I
mm
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t
e
d
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a
n
d
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s
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t
,
v
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2
8
,
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o
.
4
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p
p
.
7
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6
–
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2
0
2
0
,
d
o
i
:
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0
.
1
0
0
7
/
s
1
0
9
2
2
-
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2
0
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9
5
4
5
-
w.
[
3
]
A
.
H
i
k
ma
t
u
r
o
k
h
m
a
n
,
K
.
R
a
m
l
i
,
M
.
S
u
r
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a
n
e
g
a
r
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1
7
]
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.
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[
1
8
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l
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[
1
9
]
A
.
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M
.
P
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0
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1
]
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EEE
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2
2
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.
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2
3
]
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2
4
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s
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EEE
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p
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[
2
5
]
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.
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.
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a
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[
2
6
]
A
.
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.
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-
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.
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[
2
7
]
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.
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.
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l
-
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l
.
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[
2
8
]
K
.
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,
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.
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EEE
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.
[
2
9
]
A
.
R
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y
,
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.
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.
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.
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EEE
Ac
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ss
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v
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l
.
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p
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[
3
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]
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.
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Evaluation Warning : The document was created with Spire.PDF for Python.