T
E
L
KO
M
NIK
A
, V
ol
.
17
,
No.
5,
O
c
tob
er
20
1
9,
p
p.2
16
1
~
21
68
IS
S
N: 1
69
3
-
6
93
0
,
accr
ed
ited
F
irst
Gr
ad
e b
y K
em
en
r
istekdikti,
Decr
ee
No: 2
1/E/
K
P
T
/20
18
DOI:
10.12928/TE
LK
OM
N
IK
A
.v
1
7
i
5
.
12809
◼
21
6
1
Rec
ei
v
ed
O
c
tob
er
23
,
20
1
8
; Rev
i
s
ed
A
pr
i
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1
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01
9
; A
c
c
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20
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p
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p
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e
q
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e
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c
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s
.
Key
w
ords
:
m
a
s
s
i
v
e
M
I
M
O
,
s
i
g
n
a
l
-
to
-
i
n
t
e
rfe
r
e
n
c
e
-
n
o
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s
ra
ti
o
,
z
e
ro
f
o
rc
i
n
g
Copy
righ
t
©
2
0
1
9
Uni
v
e
rsi
t
a
s
Ahm
a
d
D
a
hl
a
n.
All
rig
ht
s
r
e
s
e
rve
d
.
1.
Int
r
o
d
u
ctio
n
Ma
s
s
i
v
e
m
ul
ti
p
l
e
-
i
np
ut
-
m
ul
ti
p
l
e
-
ou
t
pu
t
(
MIM
O
)
s
y
s
t
e
m
s
are
a
pe
r
m
i
s
s
i
on
tec
h
no
l
og
y
de
s
i
g
ne
d
t
o
be
us
e
d
i
n
f
ut
ure
c
el
l
ul
ar
ne
t
wor
k
s
to
i
n
c
r
ea
s
e
the
da
ta
r
ate
an
d
i
m
prov
e
en
erg
y
ef
f
i
c
i
en
c
y
.
T
he
us
e
of
a
l
arge
a
nte
nn
a
arr
a
y
s
wi
th
a
h
i
gh
de
gree
of
f
r
ee
do
m
i
s
ab
l
e
to
m
i
ti
g
ate
un
c
orr
el
a
ted
i
nt
erf
erenc
e,
the
r
m
al
no
i
s
e,
a
nd
th
e
ef
f
ec
ts
of
f
as
t
f
ad
i
ng
wi
l
l
be
v
an
i
s
h
ed
[1
,
2
].
F
urtherm
ore,
ea
c
h
c
el
l
i
s
c
on
tam
i
na
te
d
w
i
t
h
th
e
i
n
terf
erenc
e
c
au
s
e
b
y
t
he
us
e
of
the
c
orr
el
a
ted
pi
l
ot
s
e
qu
e
nc
es
i
n
th
e
n
ei
g
h
bo
uri
ng
c
e
l
l
s
.
P
i
l
o
t
c
on
t
am
i
na
ti
o
n
oc
c
urs
du
e
t
o
p
i
l
ot
r
eu
s
e
s
eq
ue
nc
es
c
au
s
ed
b
y
s
ha
r
i
ng
t
he
no
n
-
ortho
go
n
al
p
i
l
ots
for
us
ers
be
tw
ee
n
d
i
f
f
er
en
t
c
el
l
s
an
d
the
l
i
m
i
ted
c
ap
ac
i
t
y
of
the
s
y
s
t
em
.
T
he
pi
l
ot
r
eu
s
e
s
e
qu
en
c
e
s
c
he
du
l
er
at
a
ba
s
e
s
t
ati
o
n
(
B
S
)
tha
t
i
s
ab
l
e t
o a
s
s
i
g
n a
n
d a
l
l
oc
a
te
th
e a
v
a
i
l
a
bl
e p
i
l
ot
r
eu
s
e
s
eq
ue
nc
es
t
o u
s
ers
[3
,
4]
.
T
he
m
aj
or
c
ha
l
l
en
g
e
i
n
m
a
s
s
i
v
e
MIM
O
s
y
s
tem
s
i
s
h
o
w
to
ac
qu
i
r
e
c
h
an
n
e
l
s
tat
e
i
nf
orm
ati
on
(
CS
I)
at
th
e
B
S
.
T
he
c
ha
nn
el
es
ti
m
ati
on
i
s
c
r
uc
i
al
i
n
m
as
s
i
v
e
m
ul
ti
pl
e
-
i
np
ut
-
m
ul
ti
pl
e
ou
tp
ut
s
y
s
t
em
s
;
i
t
i
s
as
s
um
ed
t
ha
t
c
ha
n
ne
l
r
ec
i
proc
i
t
i
es
w
ere
the
s
am
e
i
n
up
l
i
nk
(
UL
)
an
d
do
wnl
i
nk
(
DL)
.
O
n
the
oth
er
ha
n
d,
the
u
s
er
s
en
t
th
e
s
am
e
pi
l
ot
r
eu
s
e
s
eq
u
en
c
es
i
n
s
a
m
e
ti
m
e
du
r
i
ng
c
ha
nn
e
l
es
t
i
m
ati
on
to
el
i
m
i
na
te
pi
l
ot
c
o
nta
m
i
na
ti
on
[
5,
6]
.
M
as
s
i
v
e
MIM
O
s
y
s
t
em
s
w
ork
i
n
ti
m
e
di
v
i
s
i
on
du
p
l
ex
m
od
e.
T
he
c
ha
nn
e
l
es
ti
m
ati
on
c
a
n
b
e
ob
ta
i
ne
d
i
n
t
i
m
e
di
v
i
s
i
o
n
d
u
pl
ex
(
T
DD)
b
y
ex
pl
o
i
te
d
c
ha
nn
e
l
r
ec
i
proc
i
t
y
,
th
e
c
on
v
e
nti
on
a
l
tr
a
i
n
i
ng
o
v
erh
ea
d
f
or
CS
I
i
s
c
orr
el
at
ed
wi
th
c
ha
nn
e
l
tr
a
i
n
i
ng
w
he
n
th
e
nu
m
be
r
of
UE
s
i
s
i
nd
ep
en
d
en
t
of
the
nu
m
be
r
of
an
te
n
na
s
[
7,
8
].
D
ue
to
the
prop
ert
y
of
the
l
a
w
o
f
l
arge
nu
m
be
r
of
us
ers
an
d
an
t
en
n
as
the
r
a
nd
om
c
h
an
ne
l
b
ec
om
e
ne
ar
d
ete
r
m
i
ni
s
ti
c
,
where
th
e
c
ha
n
ne
l
es
t
i
m
ati
on
i
s
a
c
h
al
l
en
g
es
i
s
s
ue
f
or
ac
hi
e
v
i
ng
m
ul
ti
-
an
te
nn
a
ga
i
n.
Inc
r
ea
s
i
ng
t
he
nu
m
be
r
of
tr
an
s
m
i
t
pi
l
o
t
r
eu
s
e
s
eq
ue
nc
es
f
or
l
arge
-
s
c
al
e
f
ad
i
ng
i
s
a
bl
e
t
o
s
up
pres
s
pi
l
ot
c
o
nta
m
i
na
t
i
o
n i
n
m
ul
ti
-
c
el
l
m
as
s
i
v
e
MIM
O
s
y
s
tem
s
[9]
.
T
he
au
tho
r
i
n
[1
0]
s
tu
di
ed
p
i
l
ot
c
o
nta
m
i
na
ti
on
,
c
ha
nn
el
es
ti
m
ati
on
,
a
nd
a
nte
n
na
c
orr
el
ati
on
f
or
bo
t
h
UL
a
nd
DL
as
the
nu
m
be
r
of
an
ten
na
s
ap
pr
oa
c
he
s
i
nf
i
ni
t
y
a
t
a
f
i
x
ed
nu
m
be
r
of
us
ers
us
i
ng
ei
ge
n
-
b
ea
m
form
i
ng
an
d t
he
m
atc
he
d
f
i
l
t
er.
T
h
e
au
t
ho
r
i
n
[
11
]
f
oc
us
ed
o
n
r
ed
uc
i
n
g
pi
l
ot
ov
erhe
ad
f
or
s
p
ati
al
l
y
c
orr
el
ate
d
R
a
y
l
e
i
gh
f
ad
i
ng
c
ha
nn
e
l
s
b
as
ed
on
th
e
tr
ad
e
-
of
f
be
twee
n
pi
l
ot
i
n
terf
erenc
e a
nd
p
i
l
ot
o
v
erhe
ad
w
h
en
the
n
um
be
r
of
orthog
on
a
l
pi
l
ots
r
eu
s
es
i
s
s
m
al
l
er tha
n
Evaluation Warning : The document was created with Spire.PDF for Python.
◼
IS
S
N:
16
9
3
-
69
3
0
T
E
L
KO
M
NIK
A
V
ol
.
17
,
No.
5,
O
c
tob
er 201
9
:
2
16
1
-
21
6
8
2162
the
n
um
be
r
of
us
ers
.
T
he
au
tho
r
s
i
n
[1
2]
us
e
d
th
e
s
c
h
ed
u
l
ed
al
l
oc
at
i
o
n
of
pi
l
ot
r
e
us
e
s
eq
u
en
c
es
ba
s
ed
o
n
the
d
eg
r
a
da
t
i
on
of
the
us
ers
b
y
ad
de
d
s
et
of
orthog
on
al
p
i
l
ot
r
eu
s
e
s
eq
ue
nc
es
to
m
i
ti
ga
te
pi
l
ot
c
on
t
am
i
na
ti
on
.
T
he
au
t
ho
r
s
i
n
[1
3]
us
ed
prac
t
i
c
al
c
ha
nn
e
l
es
ti
m
ati
on
wi
t
h
ap
prox
i
m
ate
a
na
l
y
t
i
c
al
m
ea
n
s
qu
are
err
or
t
o
s
up
pr
es
s
pi
l
ot
c
on
t
am
i
na
ti
o
n
wi
tho
ut
pre
v
i
ou
s
k
no
w
l
e
dg
e
of
i
nte
r
-
c
el
l
i
nte
r
f
erenc
e
an
d
l
arg
e
-
s
c
al
e
f
ad
i
ng
.
A
l
l
B
S
an
te
nn
as
c
an
be
es
ti
m
ate
d
at
tr
an
s
m
i
t
pi
l
ots
i
n
t
he
s
am
e
t
i
m
e
ba
s
ed
on
a
s
et
of
m
utu
al
l
y
ortho
go
n
a
l
p
i
l
ot
r
e
us
e
s
eq
ue
nc
es
to
a
ne
i
gh
b
orin
g
c
e
l
l
.
A
no
th
er
s
tud
y
[
14
]
i
m
prov
ed
s
pe
c
tr
a
l
ef
f
i
c
i
en
c
y
thro
ug
h
us
er
s
c
he
du
l
i
n
g
an
d
pi
l
ot
as
s
i
gn
m
en
t
ba
s
ed
o
n t
he
di
r
ec
t
i
on
of
th
ei
r
c
ha
n
ne
l
s
an
d
ortho
go
n
al
tra
i
ni
ng
s
eq
ue
nc
es
i
n
a
DL
ti
m
e
di
v
i
s
i
on
d
up
l
ex
.
W
e
de
r
i
v
ed
the
l
o
wer
bo
u
nd
s
on
t
he
ac
h
i
e
v
a
bl
e
da
t
a
r
ate
i
n
DL
b
y
an
a
l
y
z
i
ng
t
he
p
erf
or
m
an
c
e
of
the
Z
F
prec
o
di
ng
m
eth
od
an
d
us
i
ng
the
S
I
NR
to
m
i
ti
ga
te
i
nte
r
f
erenc
e
be
t
wee
n
n
ei
g
h
bo
r
i
n
g
c
e
l
l
s
.
B
as
e
d
o
n
tr
a
ns
m
i
tti
ng
th
e
s
am
e
pi
l
ot
r
eu
s
e
s
eq
ue
nc
es
i
n
the
s
am
e
c
el
l
an
d
us
i
n
g
m
utu
al
l
y
ort
ho
g
on
a
l
p
i
l
ot
s
eq
ue
nc
es
i
n
a
ne
i
g
hb
or
i
ng
c
el
l
.
F
i
n
al
l
y
,
i
m
prov
ed
d
ata
r
ate
pe
r
f
orm
an
c
e
c
an
b
e
o
bta
i
ne
d
v
i
a
z
e
r
o
-
f
orc
i
ng
(
Z
F
)
prec
od
i
ng
us
i
ng
pi
l
ot
r
eu
s
e
s
eq
ue
nc
es
wi
th
a
n
i
nc
r
ea
s
i
ng
nu
m
be
r
of
an
ten
na
s
,
whi
c
h
i
nc
r
ea
s
es
the
ga
i
n
a
nd
s
up
pres
s
es
i
nte
r
f
erenc
e
be
t
ween
ne
i
gh
bo
r
i
n
g c
el
l
s
.
2.
Re
se
a
r
ch M
eth
o
d
W
e
c
on
s
i
de
r
a
D
L
m
ul
ti
-
c
el
l
m
as
s
i
v
e
MIM
O
w
i
r
e
l
es
s
s
y
s
t
em
w
i
th
c
el
l
s
.
E
ac
h
c
el
l
c
on
s
i
s
ts
of
on
e
B
S
w
i
th
an
ten
na
s
to
s
er
v
e
ac
ti
v
e
us
ers
(
UE
s
)
,
w
h
ere
≫
.
W
e
as
s
um
e
tha
t
th
e
B
S
ha
s
i
m
p
erf
ec
t
CS
I.
T
he
c
ha
nn
el
v
ec
tor
ɠ
∈
∁
×
1
f
r
o
m
the
l
th
B
S
a
nd
k
th
us
er
of
the
ℎ
c
el
l
c
a
n b
e f
or
m
ul
ate
d
as
ɠ
=
√
,
(
1)
where
i
s
t
he
s
m
al
l
-
s
c
al
e
f
ad
i
ng
c
oe
f
f
i
c
i
en
t,
∈
∁
×
1
,
∁
(
0
,
)
,
an
d
is
the
l
arg
e
-
s
c
al
e
f
ad
i
ng
of
tr
a
ns
m
i
s
s
i
on
s
i
g
na
l
s
f
r
o
m
di
f
f
e
r
en
t
a
nte
nn
as
i
n
th
e
s
am
e
B
S
du
e
t
o
p
ath
l
os
s
an
d
s
h
ad
o
wi
n
g.
F
r
om
B
S
,
the
tr
an
s
m
i
s
s
i
on
s
i
gn
al
to
UE
s
i
s
t
he
×
prec
od
i
ng
m
atri
x
,
an
d t
he
r
ec
e
i
v
ed
s
i
gn
al
at
UE
i
n c
e
l
l
c
an
b
e
w
r
i
t
ten
a
s
=
√
∑
ɠ
+
=
1
,
(
2)
where
=
[
1
,
2
,
.
.
.
.
.
,
]
∈
∁
×
i
s
the
prec
o
di
n
g
m
atri
x
of
×
,
|
|
=
1
,
=
[
1
,
2
,
.
.
.
.
.
,
]
∈
∁
~
∁
(
0
,
)
i
s
the
c
om
pl
ex
da
t
a
v
ec
tor
of
us
ers
,
is
the
tr
a
ns
m
i
s
s
i
on
po
w
er
of
the
B
S
,
ɠ
i
s
the
c
ha
n
ne
l
m
atri
x
f
r
o
m
B
S
to
U
E
s
i
n
c
el
l
an
d
~
∁
(
0
,
)
i
s
th
e
a
dd
i
ti
v
e
whi
te
G
au
s
s
i
an
no
i
s
e
(
A
W
G
N)
wi
th
z
ero
m
ea
n
an
d
c
ov
ari
an
c
e
v
ari
ab
l
es
.
2.1
. Ch
a
n
n
el
E
stem
atio
n
W
e
as
s
u
m
e
the
B
S
an
d
U
E
s
are
wor
k
i
ng
un
de
r
a
t
i
m
e
di
v
i
s
i
o
n
d
up
l
ex
(
T
DD)
,
w
he
r
e
ev
er
y
UE
i
ns
i
de
the
c
el
l
tr
an
s
m
i
ts
m
utu
al
l
y
ort
ho
g
on
a
l
pi
l
ot
s
eq
u
en
c
es
t
hroug
h
a
tr
a
i
ni
n
g
p
ha
s
e
to
c
o
m
pu
te
es
ti
m
ati
on
c
ha
nn
el
ɠ
.
A
l
l
B
S
an
te
nn
as
c
an
be
es
ti
m
ate
d
at
the
s
am
e
ti
m
e
us
i
ng
th
e
m
utu
al
l
y
orth
og
o
na
l
p
i
l
o
t
s
e
qu
en
c
es
i
n
e
v
er
y
c
el
l
.
B
as
e
d
on
the
es
ti
m
ati
o
n
of
the
c
ha
nn
el
v
ec
tor
at
the
ℎ
B
S
[
15
],
t
he
r
e
c
ei
v
ed
tr
a
i
ni
ng
s
i
gn
a
l
f
r
om
the
pi
l
ot
r
eu
s
e
s
eq
ue
nc
es
of
the
U
E
s
f
r
o
m
al
l
n
ei
gh
b
orin
g c
el
l
s
c
an
b
e
w
r
i
t
ten
as
=
ɠ
+
∑
ɠ
=
1
,
≠
+
√
,
(
3)
where
i
s
t
he
ef
f
ec
ti
v
e
tr
a
i
ni
n
g
s
i
g
na
l
-
to
-
no
i
s
e
r
at
i
o
(
S
INR)
,
ac
c
ordi
n
g
t
o
th
e
pr
op
erti
es
of
the
m
i
ni
m
u
m
m
ea
n
s
qu
ar
e
err
or
(
MM
S
E
)
of
c
ha
n
n
el
es
ti
m
ati
on
.
T
he
ac
c
urac
y
of
a
c
h
an
n
el
de
pe
nd
s
o
n
th
e
l
ar
ge
s
c
al
e
m
ul
ti
pl
e
an
ten
na
s
f
or
l
ar
ge
-
s
c
al
e
f
ad
i
ng
at
m
ul
ti
p
l
e
ɠ
̂
b
y
an
d
c
an
be
w
r
i
tte
n a
s
ɠ
̂
=
.
(
4)
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KO
M
NIK
A
IS
S
N: 1
69
3
-
6
93
0
◼
P
i
l
ot
r
e
us
e s
eq
ue
nc
es
f
or T
DD i
n
do
w
nl
i
nk
m
ul
t
i
-
c
el
l
s
t
o i
m
prov
e d
ata
r
ate
s
(
Lu
k
m
an
A
ud
a
h)
2163
Inc
r
ea
s
i
n
g
th
e
tr
ai
ni
ng
ph
a
s
e
i
m
prov
es
the
c
h
an
ne
l
q
ua
l
i
t
y
[1
6]
,
a
nd
t
he
tr
ai
n
i
n
g
s
i
gn
a
l
ba
s
ed
on
pi
l
ot
r
e
us
e
s
eq
u
en
c
es
w
i
l
l
be
s
h
ared
b
y
th
e
tr
ai
ni
ng
p
ha
s
es
f
or
T
DD
-
b
as
ed
c
h
an
n
el
es
ti
m
ati
on
to
c
al
c
u
l
at
e c
ha
nn
e
l
ob
s
er
v
at
i
o
ns
as
ɠ
̂
=
∑
ɠ
=
1
,
≠
+
√
.
(
5)
the
es
t
i
m
ate
of
MM
S
E
f
or t
he
d
i
s
tr
i
b
ute
d
c
ha
n
ne
l
ɠ
̂
~
∁
(
0
,
)
, w
h
ere
=
,
(
6)
the
c
ha
nn
e
l
v
ari
an
c
e f
or a
UE
i
n t
h
e
l
th
c
el
l
t
o t
h
e t
ar
ge
t
B
S
an
t
en
n
a a
r
r
a
y
s
.
=
(
∑
=
1
,
≠
+
)
−
1
.
(
7)
F
r
o
m
the
pro
pe
r
t
i
es
a
nd
o
r
tho
go
na
l
l
y
of
M
MS
E
the
es
ti
m
ati
on
c
h
an
n
el
err
or,
we
c
an
de
c
om
po
s
e
the
c
ha
n
ne
l
ɠ
̅
a
s
ɠ
̅
=
ɠ
−
ɠ
̂
,
,
where
ɠ
̅
~
∁
(
0
,
−
)
,
r
ep
r
es
e
nt
un
c
orr
el
a
ted
c
ha
nn
e
l
an
d
i
s
i
nd
ep
en
d
en
t
of
ɠ
̂
.
T
he
hi
gh
pe
r
f
orm
an
c
e
s
y
s
tem
c
an
b
e
o
bta
i
ne
d
ba
s
ed
o
n
the
l
i
m
i
ted
n
um
be
r
of
pi
l
ot
r
e
us
e
s
eq
ue
nc
es
aris
i
n
g
f
r
o
m
t
he
s
ha
r
i
ng
of
non
-
orth
og
o
na
l
p
i
l
ots
f
or
a
us
er
b
et
w
e
en
di
f
f
erent
c
el
l
s
.
T
he
p
i
l
o
t
c
on
tam
i
na
ti
on
ef
f
ec
ted
t
o
c
ha
nn
e
l
,
to
s
up
pr
es
s
pi
l
ot
c
on
tam
i
na
t
i
on
a
nd
i
nc
r
ea
s
e
the
c
ap
ac
i
t
y
f
or
us
ers
,
r
eq
ui
r
e
l
i
m
i
ted
the
nu
m
be
r
of
us
ers
b
y
u
s
i
ng
av
ai
l
a
bl
e
of
p
i
l
ot
r
eu
s
e
s
eq
u
en
c
es
=
=
∞
.
T
o
es
ti
m
ate
d
c
ha
nn
e
l
f
or
e
ac
h
U
E
at
tr
an
s
m
i
s
s
i
on
s
i
gn
al
f
r
om
B
S
to
the
UE
s
,
w
e
us
ed
th
e
tr
ai
n
i
ng
s
i
g
na
l
wi
th
k
no
w
n
p
i
l
ot
r
eu
s
e
s
e
q
ue
nc
es
.
T
he
r
ec
ei
v
ed
s
i
gn
al
at
t
he
B
S
du
r
i
ng
p
i
l
ot
tr
a
ns
m
i
s
s
i
on
c
an
be
w
r
i
tte
n a
s
ф
=
√
∑
ɠ
=
1
+
,
(
8)
where
i
s
the
s
y
m
bo
l
of
pi
l
ot
r
eu
s
e
s
eq
ue
nc
es
.
Us
i
ng
th
e
s
am
e
pi
l
ot
r
eu
s
e
s
eq
ue
nc
es
f
or
us
ers
i
n
n
ei
gh
b
orin
g
c
el
l
s
l
e
ad
s
to
c
on
tam
i
na
ti
on
i
n
c
ha
n
ne
l
es
ti
m
ati
on
.
W
e
ev
al
u
ate
the
propert
i
es
of
M
MS
E
f
or
c
ha
nn
e
l
es
ti
m
ati
on
to
ob
ta
i
n
be
tte
r
p
i
l
ot
r
e
us
e s
eq
ue
n
c
es
f
or UE
ɠ
̂
us
i
ng
B
a
y
es
i
an
es
t
i
m
ato
r
s
.
W
e
s
up
po
s
e
tha
t
ea
c
h
c
h
an
ne
l
c
an
be
es
t
i
m
ate
d
s
ep
arate
l
y
us
i
n
g
the
M
MS
E
of
th
e
ℎ
UE
[
16
],
an
d c
a
n b
e
ex
pres
s
ed
as
ɠ
̂
=
‖
ɠ
̅
−
ɠ
‖
2
=
{
|
(
ф
+
)
−
ɠ
|
2
}
=
{
|
(
−
)
(
ф
)
+
|
2
}
=
{
(
−
)
(
−
)
(
ф
)
+
2
}
ɠ
̂
=
{
(
−
)
(
−
)
(
(
∑
=
1
)
)
ф
+
2
}
ɠ
̂
=
{
(
(
+
∑
=
1
)
−
1
−
)
(
(
+
∑
=
1
)
−
1
−
)
(
(
(
∑
=
1
)
)
ф
)
+
2
}
(
9)
ɠ
̂
=
1
+
∑
=
1
ф
.
(
10
)
T
he
c
ha
nn
el
m
atri
x
i
s
i
n
de
pe
nd
e
nt
a
nd
i
de
nt
i
c
a
l
l
y
di
s
tr
i
b
ute
d
(
i
.i
.
d)
ac
c
ordi
ng
to
the
pro
pa
ga
t
i
on
c
h
an
n
el
m
atri
x
be
t
wee
n B
S
s
f
or non
-
l
i
ne
of
s
i
gh
t c
om
po
ne
nts
.
Evaluation Warning : The document was created with Spire.PDF for Python.
◼
IS
S
N:
16
9
3
-
69
3
0
T
E
L
KO
M
NIK
A
V
ol
.
17
,
No.
5,
O
c
tob
er 201
9
:
2
16
1
-
21
6
8
2164
2.2.
A
c
h
iev
able
Do
w
n
link Data Rat
e
In
a
m
as
s
i
v
e
MI
MO
s
y
s
tem
,
i
t
i
s
ex
p
ec
ted
t
ha
t
t
he
ac
hi
e
v
ab
l
e
da
ta
r
ate
c
a
n
be
m
ax
i
m
i
z
ed
b
y
as
s
i
g
ni
ng
th
e
pi
l
ot
r
e
us
e
s
eq
ue
nc
es
to
ℎ
UE
i
n
ev
er
y
c
el
l
.
T
he
av
era
ge
c
ha
nn
e
l
es
ti
m
ati
on
tha
t
e
na
b
l
es
e
v
er
y
B
S
to
de
t
ec
t
the
d
ata
s
i
gn
a
l
f
r
o
m
the
UE
s
b
y
a
pp
l
y
i
ng
the
l
i
ne
ar
prec
od
i
ng
m
atri
x
∈
∁
to
r
ec
ei
v
e
the
s
i
gn
a
l
a
nd
r
e
m
ov
i
ng
the
i
nte
r
f
erenc
e
c
au
s
ed
b
y
o
the
r
us
ers
.
T
he
ac
hi
e
v
ab
l
e
da
ta
r
ate
ba
s
ed
on
w
ors
t
-
c
as
e
u
nc
orr
el
at
ed
n
oi
s
e
c
a
n
be
w
r
i
t
ten
as
ℛ
=
∑
∑
(
1
−
)
=
1
=
1
[
2
(
1
+
)
]
,
(
11
)
where
(
1
−
)
r
ep
r
es
en
ts
th
e
l
os
s
of
the
pi
l
ot
s
i
g
na
l
f
or
t
he
pr
e
-
l
og
f
ac
tor,
a
nd
r
ep
r
es
en
t
s
the
c
oh
erenc
e
bl
oc
k
i
nte
r
v
a
l
.
W
e
de
r
i
v
ed
the
l
o
w
er
b
ou
nd
of
an
ac
hi
ev
ab
l
e
da
ta
r
at
e
i
n
ba
s
e
d
o
n
the
S
I
NR
du
e
to
th
e
p
i
l
ot
r
eu
s
e
s
eq
u
en
c
es
un
de
r
pe
r
f
ec
t
c
ov
aria
nc
e
m
atri
x
es
t
i
m
ati
on
,
the
r
ec
e
i
v
ed
s
i
gn
a
l
c
an
be
w
r
i
tte
n
as
=
√
{
ɠ
}
+
√
∑
(
=
1
,
≠
ɠ
−
{
ɠ
}
)
+
√
∑
∑
ɠ
=
1
=
1
,
≠
+
.
(
12
)
If
al
l
the
c
h
an
n
el
s
are
un
c
orr
el
ate
d
Ra
y
l
ei
g
h
f
ad
i
n
g
the
ef
f
ec
ti
v
e
S
INR
=
|
|
2
|
|
2
,
f
r
o
m
[1
7
]
the
d
es
i
r
ed
s
i
gn
a
l
(
)
f
or
S
INR,
th
e
p
i
l
ot
r
eu
s
e
s
eq
ue
nc
es
c
an
b
e
es
ti
m
ate
d
be
t
wee
n
c
ha
nn
e
l
ɠ
an
d
t
he
prec
od
i
n
g
m
atri
x
wi
th
×
.
P
oo
r
c
h
an
n
el
es
ti
m
ati
on
c
a
n
oc
c
ur
du
e
t
o
i
nte
r
f
erenc
e
be
t
ween
ne
i
g
hb
ori
ng
c
e
l
l
s
as
a
r
es
u
l
t
of
prec
od
i
n
g
v
ec
tors
w
i
t
h
a
c
on
tr
o
l
l
i
ng
ei
g
en
v
ec
tor.
T
he
S
INR c
a
n
be
e
v
a
l
u
ate
d
ba
s
e
d o
n t
h
e
de
s
i
r
ed
s
i
g
na
l
|
|
2
=
|
[
ɠ
]
|
2
.
(
13
)
f
r
o
m
the
un
c
orr
el
at
ed
no
i
s
e
(
)
we s
i
m
pl
i
f
y
as
|
|
2
=
∑
∑
[
|
ɠ
|
2
]
=
1
=
1
,
≠
−
∑
|
[
ɠ
]
|
2
=
+
2
.
(
14
)
i
nte
r
f
erenc
e
i
nc
r
ea
s
es
as
t
he
nu
m
be
r
of
an
ten
na
s
m
ov
es
t
o
w
ard
i
nf
i
n
i
t
y
.
W
e
an
al
y
z
e
th
e
DL
S
INR
of
th
e U
E
s
i
n
c
el
l
. T
h
e e
f
f
ec
ti
v
e
S
INR c
a
n b
e e
x
pres
s
ed
as
=
|
[
ɠ
]
|
2
∑
∑
[
|
ɠ
|
2
]
=
1
=
1
,
≠
−
∑
|
[
ɠ
]
|
2
=
+
2
.
(
15
)
to
e
v
al
ua
t
e
s
y
s
tem
pe
r
f
or
m
an
c
e,
w
e
i
ntr
od
uc
e
z
ero
-
f
orc
i
ng
prec
o
di
ng
to
ac
hi
ev
e
t
he
arr
a
y
ga
i
n
(
−
)
an
d m
i
ti
g
ate
s
tr
o
ng
i
nt
erf
erenc
e f
r
om
th
e o
the
r
c
el
l
s
.
=
|
̃
(
̃
̃
)
−
1
|
{
‖
̃
(
̃
̃
)
−
1
‖
2
}
1
/
2
.
(
16
)
F
r
o
m
the
nu
m
erator
in
(
1
5),
w
e
us
e
th
e
m
i
ni
m
u
m
m
ea
n
s
qu
are
err
or
pro
pe
r
ti
es
at
the
B
S
,
w
h
i
c
h
ha
s
pe
r
f
ec
t
k
no
w
l
e
dg
e
of
the
c
ov
ari
an
c
e
m
atri
c
es
c
ha
nn
el
.
T
he
es
ti
m
ati
on
r
o
w
v
ec
tor
of
ɠ
f
or
the
tr
an
s
m
i
s
s
i
on
s
i
gn
al
f
r
om
the
B
S
be
t
ween
th
e
UE
s
in
ℎ
c
el
l
an
d
t
he
B
S
i
n
the
ℎ
c
el
l
c
an
be
es
ti
m
ate
d
a
c
c
ordi
ng
t
o
[
17
],
w
i
t
h
l
i
n
ea
r
z
ero
-
f
orc
i
ng
prec
od
i
ng
ab
l
e
to
ac
h
i
e
v
e
the
arr
a
y
g
ai
n
(
−
)
f
r
o
m
th
e p
r
op
erti
es
of
th
e c
o
v
ari
an
c
e
c
h
an
ne
l
i
n [
18,
19
]:
|
[
ɠ
]
|
2
=
(
−
)
(
ɠ
)
.
(
17
)
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KO
M
NIK
A
IS
S
N: 1
69
3
-
6
93
0
◼
P
i
l
ot
r
e
us
e s
eq
ue
nc
es
f
or T
DD i
n
do
w
nl
i
nk
m
ul
t
i
-
c
el
l
s
t
o i
m
prov
e d
ata
r
ate
s
(
Lu
k
m
an
A
ud
a
h)
2165
In
a
dd
i
ti
o
n,
r
e
du
c
i
ng
the
i
nte
r
-
us
er
i
nte
r
f
erenc
e
f
or
s
i
gn
al
s
i
s
c
r
uc
i
al
i
n
o
bta
i
n
i
n
g
l
es
s
no
i
s
e
v
ari
an
c
e.
F
r
om
the
wor
s
t
-
c
as
e
G
au
s
s
i
an
n
oi
s
e
t
he
c
h
an
n
el
v
ari
an
c
e
f
or
pre
c
od
i
n
g
v
ec
tor,
the
r
ec
e
i
v
ed
tr
a
i
ni
ng
s
i
g
na
l
f
or
l
arg
e
-
s
c
al
e
f
ad
i
ng
φ
jl
k
tha
t
i
s
r
ef
l
ec
ted
b
y
th
e
tr
a
ns
m
i
s
s
i
on
s
i
gn
al
f
r
o
m
the
B
S
,
whi
c
h
s
ho
ul
d
ac
qu
i
r
e
the
c
ov
aria
nc
e
m
atri
c
es
f
or
th
e
c
ha
nn
el
es
ti
m
ati
on
v
ec
tors
f
r
o
m
al
l
of
the
UE
s
,
where
t
he
c
ov
aria
nc
e
m
atri
x
i
s
ab
l
e
to
s
up
pres
s
pi
l
ot
c
o
nta
m
i
na
ti
on
[2
0,
21
]
.
T
he
v
aria
nc
e c
ha
nn
e
l
c
an
be
s
i
m
pl
i
f
i
ed
as
(
ɠ
̂
)
=
[
ɠ
̂
ф
]
[
ф
]
=
1
+
∑
=
1
.
(
18
)
f
r
o
m
the
de
no
m
i
na
tor
i
n
(
15
)
,
the
nu
m
be
r
of
an
ten
n
a
s
2
i
nc
r
ea
s
es
ac
c
ordi
ng
t
o
t
he
de
s
i
r
ed
s
i
gn
a
l
f
or
th
e
a
v
era
ge
c
h
an
ne
l
ga
i
n
|
[
ɠ
]
|
2
.
T
he
s
ec
on
d
ter
m
i
n
th
e
d
en
om
i
na
tor
i
n
(
15
)
i
s
s
i
m
i
l
ar,
|
[
ɠ
]
|
2
=
(
ɠ
)
.
T
he
tr
an
s
m
i
s
s
i
o
n
da
t
a
s
i
g
na
l
f
or
al
l
v
ar
i
ab
l
es
an
d
i
nd
ep
e
nd
e
nt
i
d
e
nti
c
a
l
l
y
di
s
t
r
i
bu
te
d
(
i
.
i
.
d.)
l
i
ne
ar
v
ec
tor
prec
od
ers
of
the
us
ers
[2
2,
23
]
{
}
=
1
i
s
di
s
tr
i
b
ute
d a
s
[
]
=
1
,
=
1
,
2
,
.
.
.
.
.
,
(
19
)
[
]
=
0
,
≠
(
20
)
∑
∑
[
|
ɠ
|
2
]
=
|
ɠ
|
2
=
(
ɠ
̂
)
=
1
=
1
,
≠
(
21
)
[
ф
]
=
1
+
∑
=
1
(
22
)
[
ɠ
ф
]
=
√
ɠ
̂
.
(
23
)
w
he
n
t
he
p
i
l
ot
r
eu
s
e
s
e
qu
en
c
es
are
as
s
i
gn
e
d
to
t
he
U
E
s
,
bo
th
the
as
s
i
gn
e
d
p
i
l
ot
r
eu
s
e
s
eq
ue
nc
es
an
d
t
he
U
E
s
are
r
e
m
ov
ed
f
r
o
m
the
pi
l
o
t
r
eu
s
e
s
eq
u
en
c
e
p
oo
l
.
W
e
an
al
y
z
e
d
the
d
en
om
i
na
t
or
f
or
(
15
)
b
y
m
i
ti
ga
ted
i
nt
er
-
us
er
i
n
t
erf
erenc
e
at
r
eu
s
e
pi
l
ot
s
eq
ue
nc
es
w
he
n
the
nu
m
be
r
of
an
t
en
n
as
m
ov
e
to
war
ds
i
nf
i
ni
t
y
,
an
d
the
v
ari
an
c
e
c
h
an
n
e
l
[
10
,
24,
2
5]
{
ɠ
̃
}
→
∞
→
0
i
s
as
f
ol
l
o
w
s
:
∑
∑
[
|
ɠ
|
2
]
=
1
=
1
,
≠
−
|
[
ɠ
]
|
2
+
2
=
(
−
)
(
ɠ
̂
)
+
∑
∑
(
ɠ
̂
)
+
2
=
1
=
1
,
≠
.
(
24
)
In
ord
er
to
s
i
m
pl
i
f
y
the
do
wn
l
i
nk
ef
f
ec
ti
v
e
S
INR
of
the
k
th
us
er
f
or
Z
F
prec
od
i
ng
ac
c
ordi
ng
to
(
17
)
an
d
(
24
)
, f
or a
n i
nc
r
ea
s
i
n
g n
um
be
r
of
an
ten
n
as
an
d
UE
s
whe
n
a
n
d
→
∞
,
the
f
orm
ul
a
f
or the
S
IN
R c
an
be
d
eri
v
e
d a
s
−
=
(
−
)
(
ɠ
̂
)
(
−
)
(
ɠ
̂
)
+
∑
=
1
,
=
+
∑
∑
(
ɠ
̂
)
=
1
=
1
,
≠
+
2
.
(
25
)
T
he
ac
hi
e
v
ab
l
e
hi
gh
da
ta
r
ate
wi
th
Z
F
prec
od
i
ng
c
an
b
e
i
m
prov
e
d
ba
s
e
d
o
n
us
i
ng
the
p
i
l
o
t
r
eu
s
e
s
eq
ue
nc
es
a
r
e
de
v
el
op
e
d
to
a
l
l
oc
ate
d
th
e
pi
l
ot
an
d
m
i
ti
ga
t
e
p
i
l
o
t
c
on
tam
i
na
ti
on
us
i
ng
S
INR
[9,
2
4,
25
]
.
T
he
c
l
os
ed
f
or
m
f
or
the
ac
hi
e
v
ab
l
e
d
ata
r
ate
i
n
DL
c
an
be
i
n
v
es
t
i
ga
t
ed
ba
s
ed
on
t
he
m
i
ni
m
u
m
MM
S
E
f
or t
he
c
h
an
n
el
es
ti
m
ati
on
err
or
wi
th
p
i
l
o
t reus
e
s
e
qu
en
c
es
an
d
i
s
gi
v
en
as
ℛ
∑
∑
(
1
−
)
=
1
=
1
2
(
1
+
(
−
)
(
1
+
∑
=
1
)
(
−
)
1
+
∑
=
1
+
∑
=
1
,
=
+
∑
∑
(
1
+
∑
=
1
)
=
1
=
1
,
≠
+
2
)
.
(
26
)
Evaluation Warning : The document was created with Spire.PDF for Python.
◼
IS
S
N:
16
9
3
-
69
3
0
T
E
L
KO
M
NIK
A
V
ol
.
17
,
No.
5,
O
c
tob
er 201
9
:
2
16
1
-
21
6
8
2166
3.
Re
sult
s
a
n
d
A
n
al
y
s
is
In
th
i
s
s
ec
ti
o
n,
we
us
e
M
on
te
-
Car
l
o
s
i
m
ul
ati
o
ns
to
an
a
l
y
z
e
the
nu
m
eric
al
r
es
ul
ts
.
I
n
ad
d
i
ti
on
to
,
w
e
e
v
al
u
ate
t
h
e
s
y
s
tem
pe
r
f
or
m
an
c
e
f
or
l
i
ne
ar
prec
o
di
n
g
tec
h
ni
qu
es
of
z
ero
-
f
orc
i
ng
prec
od
i
ng
b
as
ed
o
n
an
es
ti
m
ate
the
k
no
wl
ed
ge
of
l
arge
-
s
c
al
e
f
ad
i
ng
c
oe
f
f
i
c
i
e
nts
of
c
ha
nn
e
l
es
ti
m
ati
on
an
d
r
e
du
c
i
ng
ef
f
ec
ti
v
e
i
nte
r
f
erenc
e
w
i
th
p
i
l
o
t
r
e
us
e
t
ha
t
m
i
ti
ga
t
e
s
s
tr
on
g
pi
l
ot
c
on
tam
i
na
ti
on
.
F
r
om
F
i
gu
r
e
1,
when
t
he
nu
m
be
r
of
B
S
an
t
en
n
as
i
nc
r
ea
s
es
,
the
da
t
a
r
ate
de
pe
nd
e
d
o
n
th
e
em
pl
o
y
m
en
t
of
d
i
f
f
erent
r
eu
s
e
p
i
l
ot
s
eq
ue
nc
es
c
an
be
ob
ta
i
n
ed
ba
s
ed
on
(
1
1),
(
15
)
an
d
(
26
)
,
w
h
ere
t
he
n
u
m
be
r
o
f
orthog
o
na
l
pi
l
ot
r
eu
s
e
s
eq
ue
nc
es
f
or
the
us
ers
i
n
n
ei
gh
b
orin
g
c
el
l
s
w
h
os
e
r
el
ati
v
e
go
od
c
ha
nn
el
es
ti
m
ati
on
pe
r
f
or
m
an
c
e
ac
c
ordi
n
g
to
(
25
)
.
F
r
o
m
F
i
gu
r
e
1,
the
ac
hi
e
v
a
bl
e
da
t
a
r
at
e
i
nc
r
ea
s
es
wi
th
an
i
nc
r
ea
s
e
i
n
the
n
um
be
r
of
B
S
an
ten
n
as
du
e
to
t
he
orthog
on
a
l
p
i
l
ot
r
eu
s
e
s
eq
u
en
c
es
.
T
he
r
ef
ore,
a
hi
g
he
r
da
ta
r
at
e
c
an
b
e
ac
hi
ev
ed
b
as
ed
on
r
e
us
e
l
arge
n
um
be
r
of
pi
l
ot
s
eq
u
en
c
es
=
7
,
tha
t
a
bl
e
to
s
up
pr
es
s
i
on
of
the
i
nte
r
f
erenc
e
be
t
w
e
en
ne
i
gh
b
orin
g c
el
l
s
du
e t
o o
r
t
ho
go
na
l
pi
l
ot
r
e
us
e s
eq
u
en
c
es
be
t
w
ee
n a
dj
ac
en
t c
el
l
s
f
or l
arge
-
s
c
al
e
f
ad
i
ng
whe
n
th
e
n
um
be
r
of
pi
l
ot
r
eu
s
es
=
7
,
c
om
pa
r
ed
wi
th
the
p
i
l
o
t
r
eu
s
e
s
e
qu
en
c
es
=
{
3
,
1
}
.
F
i
gu
r
e
2
i
l
l
us
tr
ate
s
t
he
v
ar
i
at
i
on
i
n
t
he
ac
h
i
e
v
ab
l
e
da
ta
r
at
e
wi
th
t
he
nu
m
be
r
of
pi
l
ot
s
eq
ue
nc
es
.
W
he
n
the
nu
m
be
r
of
pi
l
ot
r
eu
s
e
s
e
qu
e
nc
e
s
i
s
eq
ua
l
to
t
he
nu
m
be
r
of
us
ers
=
,
the
h
i
gh
d
ata
r
at
e
c
an
b
e
ac
hi
e
v
ed
ba
s
ed
on
l
arge
pi
l
ot
r
eu
s
e
s
eq
ue
nc
es
a
n
d
a
un
i
f
or
m
l
y
di
s
tr
i
b
ute
d
nu
m
be
r
of
us
er
s
around
th
e
B
S
.
W
he
n
the
nu
m
be
r
of
pi
l
ot
r
eu
s
e
s
eq
u
en
c
es
i
s
l
arge
en
ou
gh
f
or
the
di
f
f
erent
nu
m
be
r
o
f
an
ten
na
s
at
t
he
B
S
,
i
.e.
,
where
=
16
,
32
,
64
an
d
12
8,
pi
l
ot
c
on
tam
i
na
ti
on
i
s
r
e
du
c
ed
.
Mo
r
eo
v
er,
ac
c
ordi
ng
to
(
2
6),
a
h
i
gh
er
d
ata
r
ate
i
s
a
c
hi
e
v
ed
w
h
en
the
n
um
be
r
of
pi
l
ot
r
eu
s
e
s
eq
ue
nc
es
i
s
=
7
c
o
m
pa
r
ed
to
=
1
.
Mo
r
eo
v
er,
when
t
he
n
um
be
r
of
us
ers
i
s
l
arge,
t
he
i
nt
erf
erenc
e
b
et
w
e
en
ne
i
gh
bo
r
i
ng
c
el
l
s
c
an
be
s
up
pres
s
ed
d
ue
t
o
t
he
us
e
of
orthog
on
a
l
p
i
l
ot
r
e
us
e s
e
qu
en
c
es
.
F
i
gu
r
e
1.
A
c
hi
ev
ab
l
e d
ata
r
ate
b
y
t
he
nu
m
be
r
of
B
S
a
n
ten
n
as
F
i
gu
r
e
2.
A
c
hi
ev
ab
l
e d
ata
r
ate
b
y
t
he
nu
m
be
r
of
pi
l
ot
r
eu
s
e s
eq
ue
nc
es
0
100
200
300
400
500
600
0
5
10
15
20
25
30
35
40
Num
be
r of
BS
A
nte
nn
as
(M)
Achievable Data Rate
[bit/
s/Hz]
p
=7
p
=3
p
=1
0
5
10
15
20
25
30
35
40
7
.
8
8
8
.
2
8
.
4
8
.
6
8
.
8
9
9
.
2
9
.
4
9
.
6
Num
be
r of
Pilo
t S
eq
ue
nce
ss
p
Achievable Data Rate
[bits/s/
Hz]
p
=7
p
=4
p
=3
p
=1
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KO
M
NIK
A
IS
S
N: 1
69
3
-
6
93
0
◼
P
i
l
ot
r
e
us
e s
eq
ue
nc
es
f
or T
DD i
n
do
w
nl
i
nk
m
ul
t
i
-
c
el
l
s
t
o i
m
prov
e d
ata
r
ate
s
(
Lu
k
m
an
A
ud
a
h)
2167
4.
Co
n
clus
ion
In
thi
s
p
ap
er,
we
e
v
al
ua
t
e
d
the
l
o
w
er
b
ou
n
d
f
or
the
ac
hi
e
v
ab
l
e
da
ta
r
a
te
ba
s
ed
on
s
up
pres
s
ed
pi
l
ot
c
on
t
am
i
na
ti
on
be
t
wee
n
ne
i
gh
b
ori
ng
c
e
l
l
s
as
a
r
es
u
l
t
of
the
us
e
of
non
-
orth
og
o
na
l
pi
l
ot
r
eu
s
e
s
eq
u
en
c
es
tr
an
s
m
i
tte
d
b
y
UE
s
to
d
i
f
f
erent
c
el
l
s
.
C
o
ns
eq
ue
nti
al
l
y
,
the
da
ta
r
ate
c
an
be
op
ti
m
i
z
ed
b
y
l
arg
e
pi
l
ot
r
e
us
e
s
eq
u
en
c
es
an
d
a
un
i
f
orm
l
y
d
i
s
tr
i
bu
te
d
nu
m
be
r
of
us
ers
around
the
B
S
.
I
n
ad
di
t
i
o
n
to
th
i
s
,
di
s
tr
i
b
ute
d
l
arge
a
n
um
be
r
of
us
ers
,
the
i
nt
erf
erenc
e
b
et
w
e
en
ne
i
gh
b
orin
g
c
e
l
l
s
c
a
n
be
s
up
pres
s
ed
du
e
to
ortho
go
na
l
p
i
l
o
t
r
e
us
e
s
eq
ue
nc
es
.
H
i
gh
er
da
ta
r
ate
s
c
an
be
ac
hi
ev
ed
b
y
s
up
pres
s
i
ng
th
e
i
nt
erf
erenc
e
be
t
w
e
en
ne
i
gh
b
orin
g
c
el
l
s
ba
s
e
d
o
n
orthog
on
al
pi
l
ot
r
e
us
e
s
eq
ue
nc
es
b
e
t
w
e
en
a
dj
ac
en
t
c
el
l
s
f
or
l
arg
e
s
c
al
e f
ad
i
n
g.
A
c
kno
w
ledg
ement
s
T
hi
s
r
es
ea
r
c
h
i
s
f
un
de
d
b
y
t
he
M
i
n
i
s
tr
y
of
Hi
g
he
r
E
du
c
a
ti
on
Ma
l
a
y
s
i
a
u
nd
er
F
un
d
a
m
en
tal
Res
ea
r
c
h
G
r
an
t
S
c
he
m
e
(
V
ot
No.
16
27
)
an
d
pa
r
t
i
a
l
l
y
s
po
ns
ored
b
y
U
ni
v
ers
i
t
i
T
un
Hus
s
e
i
n
O
nn
Ma
l
a
y
s
i
a
.
Re
f
er
en
ce
s
[1]
L
a
rs
s
o
n
EG
,
Ed
f
o
rs
O
,
T
u
fv
e
s
s
o
n
F,
M
a
rz
e
tt
a
T
L
.
M
a
s
s
i
v
e
M
IM
O
fo
r
n
e
x
t
g
e
n
e
ra
ti
o
n
w
i
re
l
e
s
s
s
y
s
te
m
s
.
IEEE
Com
m
u
n
i
c
a
t
i
o
n
s
M
a
g
a
z
i
n
e
.
2
0
1
4
;
5
2
(2
):
1
8
6
-
195
.
[2]
Sa
l
h
A,
A
u
d
a
h
L
,
Sh
a
h
NS,
H
a
m
z
a
h
SA.
R
e
d
u
c
ti
o
n
o
f
p
i
l
o
t
c
o
n
t
a
m
i
n
a
ti
o
n
i
n
m
a
s
s
i
v
e
M
I
M
O
s
y
s
te
m
.
Pro
c
e
e
d
i
n
g
s
o
f
IEEE
A
s
i
a
P
a
c
i
fi
c
M
i
c
ro
wa
v
e
Co
n
fe
re
n
c
e
(A
P
M
C)
.
Ku
a
l
a
L
u
m
p
u
r.
2
0
1
7
;
8
8
5
-
8
8
8
.
[3]
An
j
u
m
M
A.
A
New
Ap
p
ro
a
c
h
to
L
i
n
e
a
r
E
s
ti
m
a
ti
o
n
Pro
b
l
e
m
i
n
M
u
l
ti
-
u
s
e
r
M
a
s
s
i
v
e
M
I
M
O
Sy
s
te
m
s
.
TEL
KO
M
NIKA
Te
l
e
c
o
m
m
u
n
i
c
a
ti
o
n
Co
m
p
u
ti
n
g
El
e
c
tr
o
n
i
c
s
a
n
d
Co
n
tr
o
l
.
2
0
1
5
;
1
3
(
2
):
3
3
7
-
3
5
1
.
[4]
Pa
n
L
,
Dai
Y
,
X
u
W
,
Don
g
X
.
M
u
l
ti
p
a
i
r
m
a
s
s
i
v
e
M
I
M
O
re
l
a
y
i
n
g
w
i
th
p
i
l
o
t
-
d
a
ta
tra
n
s
m
i
s
s
i
o
n
o
v
e
rl
a
y
.
IEEE
Tra
n
s
a
c
t
i
o
n
s
o
n
W
i
r
e
l
e
s
s
Co
m
m
u
n
i
c
a
ti
o
n
s
.
2
0
1
7
;
1
6
(
6
):
3
4
4
8
-
3
4
6
0
.
[5]
L
u
L
,
L
i
G
Y
,
S
w
i
n
d
l
e
h
u
r
s
t
AL
,
As
h
i
k
h
m
i
n
A,
Z
h
a
n
g
R.
An
o
v
e
rv
i
e
w
o
f
m
a
s
s
i
v
e
M
I
M
O
:
Be
n
e
fi
t
s
a
n
d
c
h
a
l
l
e
n
g
e
s
.
IEEE
J
o
u
rn
a
l
o
f
S
e
l
e
c
te
d
T
o
p
i
c
s
i
n
S
i
g
n
a
l
Pro
c
e
s
s
i
n
g
.
2
0
1
4
;
8
(5
):
7
4
2
-
7
5
8
.
[6]
Ba
l
d
e
m
a
i
r
R,
Dah
l
m
a
n
E,
Fo
d
o
r
G
,
M
i
l
d
h
G
,
Pa
rk
v
a
l
l
S,
Se
l
e
n
Y
,
T
u
l
l
b
e
rg
H,
Ba
l
a
c
h
a
n
d
ra
n
K.
Ev
o
l
v
i
n
g
w
i
re
l
e
s
s
c
o
m
m
u
n
i
c
a
ti
o
n
s
:
Ad
d
re
s
s
i
n
g
th
e
c
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[15]
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[16]
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[17]
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◼
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[18]
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[21]
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[22]
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[23]
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[24]
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[25]
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