Measurement of beam refinement signal
Technology for a user equipment (UE) operable to enhance the receiving performance of a reference signal for beam refinement is disclosed. The UE can determine a receiving beam sweeping structure for each receiving beam of a plurality of receiving beams. The UE can calculate the receiving power rj for each of the plurality of receiving beams. The UE can select a refined receiving beam having a highest receiving power rj.
1. An apparatus of a user equipment (UE) operable to enhance the receiving performance of a reference signal for beam refinement, the apparatus comprising:
one or more processors configured to:
determine a receiving beam sweeping structure for each receiving beam of a plurality of receiving beams, comprising:
sample the beam sweeping structure that comprises a cyclic prefix (CP) and a plurality of data repetitions, wherein:
each receiving beam is associated with N+N CP /N RPF samples, wherein N is a length of a data repetition, N CP is a CP length, and N RPF is a number of data repetitions, and wherein each of N, N CP , N RPF is an integer greater than 0;
a first receiving beam of the plurality of receiving beams includes at least a portion of a cyclic prefix (CP) and at least a portion of a data repetition of the plurality of data repetitions; and
each of a N RPF −1 receiving beams of the plurality of receiving beams positioned after the first receiving beam includes at least a portion of two adjacent data repetitions;
calculate the receiving power r j for each of the plurality of receiving beams, wherein r is a real number and j is a set of integers greater than or equal to 1 and less than or equal to N RPF ; and
select a refined receiving beam having a highest receiving power r j ; and
a memory interface configured to send the refined receiving beam having the highest receiving power to a memory.
2. The apparatus of claim 1 , wherein the one or more processors are further configured to:
calculate the receiving power r j for each of the plurality of receiving beams by circular correlation using:
r
j
=
max
k
∈
[
0
,
K
]
∑
n
=
0
M
-
1
y
j
[
n
]
(
x
[
n
+
k
]
N
)
*
2
,
wherein k is a positive integer greater than or equal to 0, K is a positive integer, y j [n] is a receiving beam of j, and x j [n] is a transmitting beam of j.
3. The apparatus of claim 2 , wherein the one or more processors are further configured to:
determine an offset in a range from 0 to K by subsampling;
calculate a highest offset by using:
q
j
=
argmax
k
∈
{
T
×
[
0
,
⌊
K
/
T
⌋
]
}
∑
n
=
0
N
-
1
y
j
[
n
]
(
x
[
n
+
k
]
N
)
*
2
,
wherein T is a subsampling factor and a positive integer; and
calculate the receiving power for each of the plurality of receiving beams using:
r
j
=
argmax
k
∈
[
Q
j
-
[
T
/
2
]
,
q
j
+
[
T
/
2
]
]
∑
n
=
0
N
-
1
y
j
[
n
]
(
x
[
n
+
k
]
N
)
*
2
.
4. The apparatus of claim 1 , wherein the one or more processors are further configured to:
calculate a time domain channel by circular convolution using: ĥ j [n]=Σ m=0 N-1 [m]×[n−m] N , wherein y j [m] is a receiving beam of j and x j [m] is a transmitting beam of j; and
calculate the receiving power r j for each of the plurality of receiving beams using:
r
j
=
max
n
∈
[
0
,
N
-
1
]
h
^
j
[
n
]
2
.
5. The apparatus of claim 4 , wherein the one or more processors are further configured to:
calculate a second highest receiving power, q j , using:
q
j
=
argmax
n
∈
[
0
,
N
-
1
]
h
^
j
[
n
]
2
;
and
calculate an average highest receiving power r j using:
r
j
=
1
2
Δ
+
1
∑
n
=
q
j
-
Δ
q
j
+
Δ
h
^
j
[
n
]
2
,
wherein Δ is a positive integer.
6. The apparatus of claim 1 , wherein the one or more processors are further configured to:
determine a quality t j for each of the plurality of receiving beams by using: t j =r j /(Σ n=0 N-1 |y j [n]| 2 −r j ), wherein y j [n] is a receiving beam of j; and
select a receiving beam having a highest quality Q using
Q
=
argmax
j
∈
[
1
,
N
RPF
]
r
j
.
7. The apparatus of claim 1 , wherein the one or more processors are further configured to:
calculate the highest receiving power using:
r
j
=
1
MQ
∑
m
=
0
M
-
1
∑
n
=
0
Q
-
1
r
j
(
m
,
q
)
,
wherein r j (m,q) is the receiving power between a receiving antenna port m and a transmitting antenna port q, M is the number of receiving antenna ports, and Q is the number of transmitting antenna ports, and wherein m, q, M, and Q are all positive integers.
8. The apparatus of claim 1 , wherein the one or more processors are further configured to:
calculate the highest receiving power from one antenna port using:
r
j
=
min
q
∈
[
0
,
Q
-
1
]
1
M
∑
m
=
0
M
-
1
r
j
(
m
,
q
)
,
wherein r j (m,q) is the receiving power between a receiving antenna port m and a transmitting antenna port q, M is the number of receiving antenna ports, and Q is the number of transmitting antenna ports, and wherein m, q, M, and Q are all positive integers.
9. The apparatus of claim 1 , wherein the one or more processors are further configured to:
calculate a lowest receiving power from one antenna port using:
r
j
=
min
q
∈
[
0
,
Q
-
1
]
1
M
∑
m
=
0
M
-
1
r
j
(
m
,
q
)
,
wherein r j (m,q) is the receiving power between a receiving antenna port m and a transmitting antenna port q, M is the number of receiving antenna ports, and Q is the number of transmitting antenna ports, and wherein m, q, M, and Q are all positive integers.
10. An apparatus of a user equipment (UE) operable to enhance the receiving performance of a reference signal for beam refinement, the apparatus comprising:
one or more processors configured to:
determine a receiving beam sweeping structure for each receiving beam of a plurality of receiving beams, comprising:
sample a selected portion of the beam sweeping structure that comprises a cyclic prefix (CP) and a plurality of j data repetitions, wherein the selected portion includes:
a portion of the CP with a length N CP /N RPF ;
remove the portion of the CP with the length N CP /N RPF ;
determine a frequency domain channel for each of the j data repetitions using a matched filter using H j [k]=Y j [k] (X j [k])*, wherein Y j [k] is a receiving beam signal and X j [k] is a transmitting beam signal;
calculate the receiving power r j for each of the plurality of receiving beams, wherein r is a real number and j is a set of integers greater than or equal to 1 and less than or equal to N RPF ; and
select a refined receiving beam having a highest receiving power r j ; and
a memory interface configured to send the refined receiving beam having the highest power to a memory.
11. The apparatus of claim 10 , wherein the one or more processors are further configured to:
calculate the receiving power r j of each of the plurality of receiving beams using:
(
r
j
=
1
N
∑
q
=
0
⌊
(
N
-
1
)
/
Δ
⌋
∑
k
=
Δ
q
Δ
(
q
+
1
)
H
j
[
k
]
2
,
wherein N is a length of a data repetition and is a real number, and wherein Δ is a positive integer.
12. The apparatus of claim 10 , wherein the one or more processors are further configured to:
calculate the receiving power based on the signal after filtering.
13. The apparatus of claim 10 , wherein the one or more processors are further configured to:
determine a quality t j for each of the plurality of receiving beams by using: t j =r j /(Σ n=0 N-1 |y j [n]| 2 −r j ), wherein y j [n] is a receiving beam of j; and
select a receiving beam having a highest quality Q using
Q
=
argmax
j
∈
[
1
,
N
RPF
]
r
j
.
14. The apparatus of claim 10 , wherein the one or more processors are further configured to:
calculate the highest receiving power using:
r
j
=
1
MQ
∑
m
=
0
M
-
1
∑
n
=
0
Q
-
1
r
j
(
m
,
q
)
,
wherein r j (m,q) is the receiving power between a receiving antenna port m and a transmitting antenna port q, M is the number of receiving antenna ports, and Q is the number of transmitting antenna ports, and wherein m, q, M, and Q are all positive integers.
15. The apparatus of claim 10 , wherein the one or more processors are further configured to:
calculate a lowest receiving power from one antenna port using:
r
j
=
min
q
∈
[
0
,
Q
-
1
]
1
M
∑
m
=
0
M
-
1
r
j
(
m
,
q
)
,
wherein r j (m,q) is the receiving power between a receiving antenna port m and a transmitting antenna port q, M is the number of receiving antenna ports, and Q is the number of transmitting antenna ports, and wherein m, q, M, and Q are all positive integers.
16. At least one non-transitory machine readable storage medium having instructions embodied thereon for enhancing the receiving performance of a reference signal for beam refinement, the instructions when executed by one or more processors at a user equipment (UE) perform the following:
determining a receiving beam sweeping structure for each receiving beam of a plurality of receiving beams, comprising:
sample the beam sweeping structure that comprises a cyclic prefix (CP) and a plurality of data repetitions, wherein:
each receiving beam is associated with N+N CP /N RPF samples, wherein N is a length of a data repetition, N CP is a CP length, and N RPF is a number of data repetitions, and wherein each of N, N CP , N RPF is an integer greater than 0;
a first receiving beam of the plurality of receiving beams includes at least a portion of a cyclic prefix (CP) and at least a portion of a data repetition of the plurality of data repetitions; and
each of a N RPF −1 receiving beams of the plurality of receiving beams positioned after the first receiving beam includes at least a portion of two adjacent data repetitions;
calculating the receiving power r j for each of the plurality of receiving beams, wherein r is a real number and j is a set of integers greater than or equal to 1 and less than or equal to N RPF ; and
selecting a refined receiving beam having a highest receiving power r j .
17. The at least one non-transitory machine readable storage medium of claim 16 , further comprising instructions that when executed perform:
calculating the receiving power r j for each of the plurality of receiving beams by circular correlation using:
r
j
=
max
k
∈
[
0
,
K
]
∑
m
=
0
M
-
1
y
j
[
n
]
(
x
[
n
+
k
]
N
)
*
2
,
wherein k is a positive integer greater than or equal to 0, K is a positive integer, y j [n] is a receiving beam of j, and x j [n] is a transmitting beam of j.
18. The at least one non-transitory machine readable storage medium of claim 17 , further comprising instructions that when executed perform:
determining an offset in a range from 0 to K by subsampling;
calculating a highest offset by using:
q
j
=
argmax
k
∈
{
T
×
[
0
,
⌊
K
/
T
⌋
]
}
∑
n
=
0
N
-
1
y
j
[
n
]
(
x
[
n
+
k
]
N
)
*
2
,
wherein T is a subsampling factor and a positive integer; and
calculating the receiving power for each of the plurality of receiving beams using:
r
j
=
maxx
k
∈
[
q
j
[
[
T
/
2
]
,
q
j
+
[
T
/
2
]
∑
n
=
0
N
-
1
y
j
[
n
]
(
x
[
n
+
k
]
N
)
*
2
.
19. The at least one non-transitory machine readable storage medium of claim 16 , further comprising instructions that when executed perform:
calculating a time domain channel by circular convolution using: ĥ j [n]=Σ m=0 N-1 y j [m]×[n−m] N , wherein y j [m] is a receiving beam of j and x j [m] is a transmitting beam of j; and
calculating the receiving power r j for each of the plurality of receiving beams using:
r
j
=
max
n
∈
[
0
,
N
-
1
]
h
^
j
[
n
]
2
.
20. The at least one non-transitory machine readable storage medium of claim 19 , further comprising instructions that when executed perform:
calculating a second highest receiving power, q j , using:
q
j
=
argmax
n
∈
[
0
,
N
-
1
]
h
^
j
[
n
]
2
;
and
calculating an average highest receiving power r j using:
r
j
=
1
2
Δ
+
1
∑
n
=
q
j
-
Δ
q
j
+
Δ
h
^
j
[
n
]
2
,
wherein Δ is a positive integer.
21. The at least one non-transitory machine readable storage medium of claim 16 , further comprising instructions that when executed perform:
determining a quality t j for each of the plurality of receiving beams by using: t j =r j /(Σ n=0 N-1 |y j [n]| 2 −r j ), wherein y j [n] is a receiving beam of j; and
selecting a receiving beam having a highest quality Q using
Q
=
argmax
j
∈
[
1
,
N
RPF
]
r
j
.
22. The at least one non-transitory machine readable storage medium of claim 16 , further comprising instructions that when executed perform:
calculating the highest receiving power using:
r
j
=
1
MQ
∑
m
=
0
M
-
1
∑
n
=
0
Q
-
1
r
j
(
m
,
q
)
,
wherein r j (m,q) is the receiving power between a receiving antenna port m and a transmitting antenna port q, M is the number of receiving antenna ports, and Q is the number of transmitting antenna ports, and wherein m, q, M, and Q are all positive integers.
23. The at least one non-transitory machine readable storage medium of claim 16 , further comprising instructions that when executed perform:
calculating the highest receiving power from one antenna port using:
r
j
=
max
q
∈
[
0
,
Q
-
1
]
1
M
∑
m
=
0
M
-
1
r
j
(
m
,
q
)
,
wherein r j (m,q) is the receiving power between a receiving antenna port m and a transmitting antenna port q, M is the number of receiving antenna ports, and Q is the number of transmitting antenna ports, and wherein m, q, M, and Q are all positive integers.
24. The at least one non-transitory machine readable storage medium of claim 16 , further comprising instructions that when executed perform:
calculating a lowest receiving power from one antenna port using:
r
j
=
min
q
∈
[
0
,
Q
-
1
]
1
M
∑
m
=
0
M
-
1
r
j
(
m
,
q
)
,
wherein r j (m,q) is the receiving power between a receiving antenna port m and a transmitting antenna port q, M is the number of receiving antenna ports, and Q is the number of transmitting antenna ports, and wherein m, q, M, and Q are all positive integers.