Method and device for suppressing interference in communication networks using frequency switched transmit diversity coding
Devices and methods for suppressing interference in inter-cell and intra-cell network communication. First and second received signals are received at a communication device, the first and second received signals comprising, respectively, reference signals and data signals. Estimated channel vectors are calculated from the first received signals, and estimated data covariance matrices are calculated from the second received signals. A plurality of combining weight vectors are determined based on the estimated channel vectors and the estimated data covariance matrices. The second received signals are then combined with the plurality of combining weight vectors to obtain a plurality of combined signals, wherein interference in the second received signals has been suppressed in the plurality of combined signals.
1. A method for suppressing interference in a communication network including a plurality of communication devices, comprising:
receiving, at a communication device, first received signals;
receiving, at the communication device, second received signals;
calculating a plurality of estimated channel vectors from the first received signals;
calculating, using only the second received signals, a plurality of estimated data covariance matrices;
determining a plurality of combining weight vectors based on the calculated plurality of estimated channel vectors and the calculated plurality of estimated data covariance matrices; and
combining the second received signals and the plurality of combining weight vectors to obtain a plurality of combined signals,
wherein interference in the second received signals is suppressed in the plurality of combined signals.
2. The method according to claim 1 , wherein the first received signals comprise reference signals and the second received signals comprise data signals.
3. The method according to claim 1 , wherein each of the calculated plurality of estimated channel vectors is determined by correlating the first received signals with a reference symbol pattern associated with a transmit antenna over a plurality of resource elements, with each resource element corresponding to a subcarrier of an SC-FDMA symbol.
4. The method according to claim 1 , wherein the calculated plurality of estimated channel vectors, ĥ p , are determined such that:
h
^
p
=
1
24
∑
k
=
0
1
∑
i
=
0
11
s
p
*
(
i
,
k
)
r
(
i
,
k
)
where h p is a n R ×1 vector containing the n R channel coefficients from the p th transmit antenna of the desired communication device to the n R receive antennas, s p (i,k) is the reference symbol transmitted on the i th subcarrier during the k th SC-FDMA symbol for reference signals from transmit antenna p of the desired communication device, s* p (i,k) denotes the conjugate of s p (i,k), and r(i,k) is a n R ×1 vector containing the n R received symbols on the i th subcarrier during the k th SC-FDMA symbol for reference signals from the n R receive antennas.
5. The method according to claim 1 , wherein the calculated plurality of estimated data covariance matrices include a first and a second estimated data covariance matrix, wherein the first estimated data covariance matrix is determined based on a first subset of the second received signals and the second estimated data covariance matrix is determined based on a second subset of the second received signals.
6. The method according to claim 5 , wherein the first subset of the second received signals includes the second received signals received from even-numbered subcarriers and the second subset of the second received signals includes the second received signals received from odd-numbered subcarriers.
7. The method according to claim 1 , wherein the calculated plurality of estimated data covariance matrices, {circumflex over (M)} p , are determined such that:
{
M
^
0
=
1
30
∑
l
=
0
4
∑
i
=
0
5
y
(
2
i
,
l
)
y
H
(
2
i
,
l
)
M
^
1
=
1
30
∑
l
=
0
4
∑
i
=
0
5
y
(
2
i
+
1
,
l
)
y
H
(
2
i
+
1
,
l
)
where y(i,l) is a n R ×1 vector containing the n R received symbols on the i th subcarrier during the l th SC-FDMA symbol for data signals from the n R receive antennas, and y H (i,l) denotes the conjugate transpose of y(i,l).
8. The method according to claim 5 , wherein the plurality of combining weight vectors includes a first and a second combining weight vector, wherein the first combining weight vector is determined based on the first estimated data covariance matrix and an estimated channel vector associated with a first transmit antenna, and the second combining weight vector is determined based on the second estimated data covariance matrix and an estimated channel vector associated with a second transmit antenna.
9. The method according to claim 1 , wherein the plurality of combining weight vectors, w p , are determined such that:
w p ={circumflex over (M)} p −1 ĥ p
for p=0 and 1.
10. The method according to claim 5 , wherein the plurality of combined signals includes a first subset and a second subset of combined signals, where the first subset of the combined signals is obtained based on combining the first subset of the second received signals using the combining weight vector, and where the second subset of the combined signals is obtained based on combining the second subset of the second received signals using the combining weight vector.
11. The method according to claim 1 , wherein the plurality of combined signals, λ(i,l), are determined such that:
λ
(
i
,
l
)
=
{
w
0
H
y
(
i
,
l
)
,
if
i
is
even
w
1
H
y
(
i
,
l
)
,
if
i
is
odd
.
12. The method according to claim 1 , further comprising:
processing the plurality of combined signals with a despreader to reverse orthogonal cover code (OCC) spreading with cyclic shift as applied to the first and second received signals;
calculating soft values for the coded bits of the processed combined signals;
processing the calculated soft values based on codeword combining and interleaving; and
decoding the processed calculated soft values, based on encoding specifications for processing by the communication device.
13. The method according to claim 1 , wherein the communication device is a user equipment (UE).
14. The method according to claim 1 , wherein the communication device is a base station.
15. A communication device operable in a communication network and structured to suppress interference in received signals, comprising:
a processor;
a memory coupled to the processor;
a transceiver coupled to the processor; and
an antenna coupled to the transceiver configured to transmit and receive signals;
wherein the processor is configured to:
receive first received signals;
receive second received signals;
calculate a plurality of estimated channel vectors from the first received signals;
calculate, using only the second received signals, a plurality of estimated data covariance matrices;
determine a plurality of combining weight vectors based on the calculated plurality of estimated channel vectors and the calculated plurality of estimated data covariance matrices; and
combine the second received signals and the plurality of combining weight vectors to obtain a plurality of combined signals,
wherein interference in the second received signals is suppressed in the plurality of combined signals.
16. The communication device according to claim 15 , wherein the first received signals comprise reference signals and the second received signals comprise data signals.
17. The communication device according to claim 15 , wherein each of the calculated plurality of estimated channel vectors is determined by correlating the first received signals with a reference symbol pattern associated with a transmit antenna over a plurality of resource elements, with each resource element corresponding to a subcarrier of an SC-FDMA symbol.
18. The communication device according to claim 15 , wherein the calculated plurality of estimated channel vectors, ĥ p , are determined such that:
h
^
p
=
1
24
∑
k
=
0
1
∑
i
=
0
11
s
p
*
(
i
,
k
)
r
(
i
,
k
)
where h p is a n R ×1 vector containing the n R channel coefficients from the p th transmit antenna of the desired communication device to the n R receive antennas, s p (i,k) is the reference symbol transmitted on the i th subcarrier during the k th SC-FDMA symbol for reference signals from transmit antenna p of the desired communication device, s* p (i,k) denotes the conjugate of s p (i,k), and r(i,k) is a n R ×1 vector containing the n R received symbols on the i th subcarrier during the k th SC-FDMA symbol for reference signals from the n R receive antennas.
19. The communication device according to claim 15 , wherein the calculated plurality of estimated data covariance matrices includes a first and a second estimated data covariance matrix, wherein the first estimated data covariance matrix is determined based on a first subset of the second received signals, and the second estimated data covariance matrix is determined based on a second subset of the second received signals.
20. The communication device according to claim 19 , wherein the first subset of the second received signals includes the second received signals received from even-numbered subcarriers and the second subset of the second received signals includes the second received signals received from odd-numbered subcarriers.
21. The communication device according to claim 15 , wherein the calculated plurality of estimated data covariance matrices, {circumflex over (M)} p , are determined such that:
{
M
^
0
=
1
30
∑
l
=
0
4
∑
i
=
0
5
y
(
2
i
,
l
)
y
H
(
2
i
,
l
)
M
^
1
=
1
30
∑
l
=
0
4
∑
i
=
0
5
y
(
2
i
+
1
,
l
)
y
H
(
2
i
+
1
,
l
)
where y(i,l) is a n R ×1 vector containing the n R received symbols on the i th subcarrier during the l th SC-FDMA symbol for data signals from the n R receive antennas, and y H (i,l) denotes the conjugate transpose of y(i,l).
22. The communication device according to claim 19 , wherein the plurality of combining weight vectors includes a first and a second combining weight vector, wherein the first combining weight vector is determined based on the first estimated data covariance matrix and an estimated channel vector associated with a first transmit antenna, and the second combining weight vector is determined based on the second estimated data covariance matrix and an estimated channel vector associated with a second transmit antenna.
23. The communication device according to claim 15 , wherein the plurality of combining weight vectors, w p , are determined such that:
w p ={circumflex over (M)} p −1 ĥ p
for p=0 and 1.
24. The communication device according to claim 19 , wherein the plurality of combined signals includes a first subset and a second subset of combined signals, wherein the first subset of the combined signals is obtained based on combining the first subset of the second received signals using the combining weight vector, and wherein the second subset of the combined signals is obtained based on combining the second subset of the second received signals using the combining weight vector.
25. The communication device according to claim 15 , wherein the plurality of combined signals, λ(i,l), are determined by:
λ
(
i
,
l
)
=
{
w
0
H
y
(
i
,
l
)
,
if
i
is
even
w
1
H
y
(
i
,
l
)
,
if
i
is
odd
.
26. The communication device according to claim 15 , wherein the processor is further configured to:
process the plurality of combined signals with a despreader to reverse orthogonal cover code (OCC) spreading with cyclic shift as applied to the first and second received signals;
calculate soft values for the coded bits of the processed combined signals;
process the calculated soft values based on codeword combining and interleaving; and
decode the processed calculated soft values, based on encoding specifications for processing by the communication device.
27. The communication device according to claim 15 , wherein the communication device is a user equipment (UE).
28. The communication device according to claim 15 , wherein the communication device is a base station.
29. A method for suppressing interference in a communication network including a plurality of communication devices, comprising:
receiving, at a communication device, first received signals;
receiving, at the communication device, second received signals;
calculating a first plurality of estimated channel vectors from the first received signals;
calculating a second plurality of estimated channel vectors from the first received signals;
calculating a plurality of estimated data covariance matrices from the second received signals and the calculated second plurality of estimated channel vectors, and not from the first received signals;
determining a plurality of combining weight vectors based on the calculated first plurality of estimated channel vectors and the calculated plurality of estimated data covariance matrices; and
combining the second received signals and the plurality of combining weight vectors to obtain a plurality of combined signals,
wherein interference in the second received signals is suppressed in the plurality of combined signals.
30. The method according to claim 29 , wherein the first received signals comprise reference signals from the desired UE transmitting device and an intra-cell interfering UE device, and the second received signals comprise data signals.
31. The method according to claim 29 , wherein each of the calculated plurality of estimated channel vectors is determined by correlating the first received signals with a reference symbol pattern associated with a transmit antenna over a plurality of resource elements, with each resource element corresponding to a subcarrier of an SC-FDMA symbol.
32. The method according to claim 29 , wherein the calculated first plurality of estimated channel vectors, ĥ p , are determined such that:
h
^
p
=
1
24
∑
k
=
0
1
∑
i
=
0
11
s
p
*
(
i
,
k
)
r
(
i
,
k
)
where h p is a n R ×1 vector containing the n R channel coefficients from the p th transmit antenna of the desired communication device to the n R receive antennas, s p (i,k) is the reference symbol transmitted on the i th subcarrier during the k th SC-FDMA symbol for reference signals from transmit antenna p of the desired communication device, s* p (i,k) denotes the conjugate of s p (i,k), and r(i,k) is a n R ×1 vector containing the n R received symbols on the i th subcarrier during the k th SC-FDMA symbol for reference signals from the n R receive antennas.
33. The method according to claim 29 , wherein the calculated second plurality of estimated channel vectors, {circumflex over (f)} p , are determined such that:
f
^
p
=
1
24
∑
k
=
0
1
∑
i
=
0
11
u
p
*
(
i
,
k
)
r
(
i
,
k
)
where f P is a n R ×1 vector containing the n R channel coefficients from the p th transmit antenna of the intra-cell interfering communication device to the n R receive antennas, u p (i,k) is the reference symbol transmitted on the i th subcarrier during the k th SC-FDMA symbol for reference signals from transmit antenna p of the intra-cell interfering communication device, u* p (i,k) denotes the conjugate of u p (i,k), and r(i,k) is a n R ×1 vector containing the n R received symbols on the i th subcarrier during the k th SC-FDMA symbol for reference signals from the n R receive antennas.
34. The method according to claim 30 , wherein the received data signals and the received intra-cell interfering data signals use the same frequency-switch transmit diversity coding, and wherein the calculated plurality of estimated data covariance matrices includes a first and a second estimated data covariance matrix, wherein the first estimated data covariance matrix is determined based on a first subset of the second received signals and said second plurality of estimated channel vectors from a first transmit antenna port, and the second estimated data covariance matrix is determined based on a second subset of the second received signals and said second plurality of estimated channel vectors from a second transmit antenna port.
35. The method according to claim 34 , wherein the first subset of the second received signals includes the second received signals received from even-numbered subcarriers, and the second subset of the second received signals includes the second received signals received from odd-numbered subcarriers.
36. The method according to claim 34 , wherein the first data covariance matrix is further determined by subtracting the outer product of said second plurality of estimated channel vectors from the first transmit antenna port from the first estimated data covariance matrix based on the first subset of the second received signals.
37. The method according to claim 34 , wherein the second data covariance matrix is further determined by subtracting the outer product of said second plurality of estimated channel vectors from the second transmit antenna port from the second estimated data covariance matrix based on the second subset of the second received signals.
38. The method according to claim 30 , wherein the received data signals and the received intra-cell interfering data signals use the same frequency-switch transmit diversity coding, and wherein the calculated plurality of estimated data covariance matrices, {circumflex over (M)} p , for the p th transmit antenna are determined such that:
{
M
^
0
=
(
1
30
∑
l
=
0
4
∑
i
=
0
5
y
(
2
i
,
l
)
y
H
(
2
i
,
l
)
)
-
f
0
f
0
H
M
^
1
=
(
1
30
∑
l
=
0
4
∑
i
=
0
5
y
(
2
i
+
1
,
l
)
y
H
(
2
i
+
1
,
l
)
)
-
f
1
f
1
H
where y(i,l) is a n R ×1 vector containing the n R received symbols on the i th subcarrier during the l th SC-FDMA symbol for data signals from the n R receive antennas, and y H (i,l) denotes the conjugate transpose of y(i,l).
39. The method according to claim 30 , wherein the received intra-cell interfering data signals are transmitted from multiple transmit antennas, and wherein the calculated plurality of estimated data covariance matrices includes a first and a second estimated data covariance matrix, wherein the first estimated data covariance matrix is determined based on a first subset of the second received signals and said second plurality of estimated channel vectors, and the second estimated data covariance matrix is determined based on a second subset of the second received signals and said second plurality of estimated channel vectors.
40. The method according to claim 39 , wherein the first subset of the second received signals includes the second received signals received from even-numbered subcarriers, and the second subset of the second received signals includes the second received signals received from odd-numbered subcarriers.
41. The method according to claim 39 , wherein the first estimated data covariance matrix is further determined by subtracting a multiplicity of outer products of said second plurality of estimated channel vectors from the first estimated data covariance matrix based on the first subset of the second received signals.
42. The method according to claim 39 , wherein the second estimated data covariance matrix is further determined by subtracting a multiplicity of outer products of said second plurality of estimated channel vectors from the second estimated data covariance matrix based on the second subset of the second received signals.
43. The method according to claim 30 , wherein the received intra-cell interfering data signals are transmitted from multiple transmit antennas, and wherein the calculated plurality of estimated data covariance matrices, {circumflex over (M)} p , for the p th transmit antenna are determined such that:
{
M
^
0
=
(
1
30
∑
l
=
0
4
∑
i
=
0
5
y
(
2
i
,
l
)
y
H
(
2
i
,
l
)
)
-
f
0
f
0
H
-
f
1
f
1
H
M
^
1
=
(
1
30
∑
l
=
0
4
∑
i
=
0
5
y
(
2
i
+
1
,
l
)
y
H
(
2
i
+
1
,
l
)
)
-
f
0
f
0
H
-
f
1
H
.
44. The method according to claim 30 , wherein the received intra-cell interfering data signals are transmitted from a single transmit antenna, and wherein the calculated plurality of estimated data covariance matrices includes a first and a second estimated data covariance matrix, wherein the first estimated data covariance matrix is determined based on a first subset of the second received signals and said second plurality of estimated channel vectors, and the second estimated data covariance matrix is determined based on a second subset of the second received signals and said second plurality of estimated channel vectors.
45. The method according to claim 44 , wherein the first subset of the second received signals includes the second received signals received from even-numbered subcarriers, and the second subset of the second received signals includes the second received signals received from odd-numbered subcarriers.
46. The method according to claim 44 , wherein the first estimated data covariance matrix is further determined by subtracting the outer product of said second plurality of estimated channel vectors from the first estimated data covariance matrix based on the first subset of the second received signals.
47. The method according to claim 44 , wherein the second estimated data covariance matrix is further determined by subtracting the outer product of said second plurality of estimated channel vectors from the second estimated data covariance matrix based on the second subset of the second received signals.
48. The method according to claim 30 , wherein the received intra-cell interfering data signals are transmitted from a single transmit antenna, and wherein the calculated plurality of estimated data covariance matrices, {circumflex over (M)} p , for the p th transmit antenna are determined such that:
{
M
^
0
=
(
1
30
∑
l
=
0
4
∑
i
=
0
5
y
(
2
i
,
l
)
y
H
(
2
i
,
l
)
)
-
f
0
f
0
H
M
^
1
=
(
1
30
∑
l
=
0
4
∑
i
=
0
5
y
(
2
i
+
1
,
l
)
y
H
(
2
i
+
1
,
l
)
)
-
f
0
f
0
H
.
49. The method according to claim 34 , wherein the plurality of combining weight vectors includes a first and a second combining weight vector, wherein the first combining weight vector is determined based on the first estimated data covariance matrix and an estimated channel vector associated with a first transmit antenna, and the second combining weight vector is determined based on the second estimated data covariance matrix and an estimated channel vector associated with a second transmit antenna.
50. The method according to claim 29 , wherein the plurality of combining weight vectors, w p , are determined such that:
w p ={circumflex over (M)} p −1 ĥ p
for p=0 and 1.
51. The method according to claim 34 , wherein the plurality of combined signals includes a first subset and a second subset of combined signals, wherein the first subset of the combined signals is obtained based on combining the first subset of the second received signals using the combining weight vector, and wherein the second subset of the combined signals is obtained based on combining the second subset of the second received signals using the combining weight vector.
52. The method according to claim 29 , wherein the plurality of combined signals, λ(i,l), are determined such that:
λ
(
i
,
l
)
=
{
w
0
H
y
(
i
,
l
)
,
if
i
is
even
w
1
H
y
(
i
,
l
)
,
if
i
is
odd
.
53. The method according to claim 29 , further comprising:
processing the plurality of combined signals with a despreader to reverse orthogonal cover code (OCC) spreading with cyclic shift as applied to the first and second received signals;
calculating soft values for the coded bits of the processed combined received signals;
processing the calculated soft values based on codeword combining and interleaving; and
decoding the processed calculated soft values, based on encoding specifications for processing by the plurality of communication devices.
54. The method according to claim 29 , wherein the communication device is a user equipment (UE).
55. The method according to claim 29 , wherein the communication device is a base station.
56. A communication device operable in a communication network and structured to suppress interference in received signals, comprising:
a processor;
a memory coupled to the processor;
a transceiver coupled to the processor; and
an antenna coupled to the transceiver configured to transmit and receive signals;
wherein the processor is configured to:
receive first received signals;
receive second received signals;
calculate a first plurality of estimated channel vectors from the first received signals;
calculate a second plurality of estimated channel vectors from the first received signals;
calculate a plurality of estimated data covariance matrices from the second received signals and the calculated second plurality of estimated channel vectors, and not from the first received signals;
determine a plurality of combining weight vectors based on the calculated first plurality of estimated channel vectors and the calculated plurality of estimated data covariance matrices; and
combine the second received signals and the plurality of combining weight vectors to obtain a plurality of combined signals,
wherein interference in the second received signals is suppressed in the plurality of combined signals.
57. The communication device according to claim 56 , wherein the first received signals comprise reference signals from the desired UE transmitting device and an intra-cell interfering UE device and the second received signals comprise data signals.
58. The communication device according to claim 56 , wherein each of the calculated plurality of estimated channel vectors is determined by correlating the first received signals with a reference symbol pattern associated with a transmit antenna over a plurality of resource elements, with each resource element corresponding to a subcarrier of an SC-FDMA symbol.
59. The communication device according to claim 56 , wherein the calculated first plurality of estimated channel vectors, ĥ p , are determined such that:
h
^
p
=
1
24
∑
k
=
0
1
∑
i
=
0
11
s
p
*
(
i
,
k
)
r
(
i
,
k
)
where h P is a n R ×1 vector containing the n R channel coefficients from the p th transmit antenna of the desired communication device to the n R receive antennas, s p (i,k) is the reference symbol transmitted on the i th subcarrier during the k th SC-FDMA symbol for reference signals from transmit antenna p of the desired communication device, s* p (i,k) denotes the conjugate of s p (i,k), and r(i,k) is a n R ×1 vector containing the n R received symbols on the i th subcarrier during the k th SC-FDMA symbol for reference signals from the n R receive antennas.
60. The communication device according to claim 56 , wherein the calculated second plurality of estimated channel vectors, {circumflex over (f)} p , are determined such that:
f
^
p
=
1
24
∑
k
=
0
1
∑
i
=
0
11
u
p
*
(
i
,
k
)
r
(
i
,
k
)
where f p is a n R ×1 vector containing the n R channel coefficients from the p th transmit antenna of the intra-cell interfering communication device to the n R receive antennas, u p (i,k) is the reference symbol transmitted on the i th subcarrier during the k th SC-FDMA symbol for reference signals from transmit antenna p of the intra-cell interfering communication device, u* p (i,k) denotes the conjugate of u p (i,k), and r(i,k) is a n R ×1 vector containing the n R received symbols on the i th subcarrier during the k th SC-FDMA symbol for reference signals from the n R receive antennas.
61. The communication device according to claim 57 , wherein the received data signals and the received intra-cell interfering data signals use the same frequency-switch transmit diversity coding, and wherein the calculated plurality of estimated data covariance matrix includes a first and a second estimated data covariance matrices, wherein the first estimated data covariance matrix is determined based on a first subset of the second received signals and said second plurality of estimated channel vectors from a first transmit antenna port, and the second estimated data covariance matrix is determined based on a second subset of the second received signals and said second plurality of estimated channel vectors from a second transmit antenna port.
62. The communication device according to claim 61 , wherein the first subset of the second received signals includes the second received signals received from even-numbered subcarriers, and the second subset of the second received signals includes the second received signals received from odd-numbered subcarriers.
63. The communication device according to claim 61 , wherein the first estimated data covariance matrix is further determined by subtracting the outer product of said second plurality of estimated channel vectors from the first transmit antenna port from the first estimated data covariance matrix based on the first subset of the second received signals.
64. The communication device according to claim 61 , wherein the second estimated data covariance matrix is further determined by subtracting the outer product of said second plurality of estimated channel vectors from the second transmit antenna port from the second estimated data covariance matrix based on the second subset of the second received signals.
65. The communication device according to claim 57 , wherein the received reference signals and the received intra-cell interfering data signals use the same frequency-switch transmit diversity coding, and wherein the calculated plurality of estimated data covariance matrices, {circumflex over (M)} p , for the p th transmit antenna are determined such that:
{
M
^
0
=
(
1
30
∑
l
=
0
4
∑
i
=
0
5
y
(
2
i
,
l
)
y
H
(
2
i
,
l
)
)
-
f
0
f
0
H
M
^
1
=
(
1
30
∑
l
=
0
4
∑
i
=
0
5
y
(
2
i
+
1
,
l
)
y
H
(
2
i
+
1
,
l
)
)
-
f
1
f
1
H
where y(i,l) is a n R ×1 vector containing the n R received symbols on the i th subcarrier during the l th SC-FDMA symbol for data signals from the n R receive antennas, and y H (i,l) denotes the conjugate transpose of y(i,l).
66. The communication device according to claim 57 , wherein the received intra-cell interfering data signals are transmitted from multiple transmit antennas, and wherein the calculated plurality of estimated data covariance matrices includes a first and a second estimated data covariance matrix, wherein the first estimated data covariance matrix is determined based on a first subset of the second received signals and said second plurality of estimated channel vectors, and the second estimated data covariance matrix is determined based on a second subset of the second received signals and said second plurality of estimated channel vectors.
67. The communication device according to claim 66 , wherein the first subset of the second received signals includes the second received signals received from even-numbered subcarriers, and the second subset of the second received signals includes the second received signals received from odd-numbered subcarriers.
68. The communication device according to claim 66 , wherein the first estimated data covariance matrix is further determined by subtracting a multiplicity of outer products of said second plurality of estimated channel vectors from the first estimated data covariance matrix based on the first subset of the second received signals.
69. The communication device according to claim 66 , wherein the second estimated data covariance matrix is further determined by subtracting a multiplicity of the outer products of said second plurality of estimated channel vectors from the second estimated data covariance matrix based on the second subset of the second received signals.
70. The communication device according to claim 57 , wherein the received intra-cell interfering data signals are transmitted from multiple transmit antennas, and wherein the calculated plurality of estimated data covariance matrices, {circumflex over (M)} p for the p th transmit antenna are determined such that:
{
M
^
0
=
(
1
30
∑
l
=
0
4
∑
i
=
0
5
y
(
2
i
,
l
)
y
H
(
2
i
,
l
)
)
-
f
0
f
0
H
-
f
1
f
1
H
M
^
1
=
(
1
30
∑
l
=
0
4
∑
i
=
0
5
y
(
2
i
+
1
,
l
)
y
H
(
2
i
+
1
,
l
)
)
-
f
0
f
0
H
-
f
1
f
1
H
.
71. The communication device according to claim 57 , wherein the received intra-cell interfering data signals are transmitted from a single transmit antenna, and wherein the calculated plurality of estimated data covariance matrices includes a first and a second estimated data covariance matrices, wherein the first estimated data covariance matrix is determined based on a first subset of the second received signals and said second plurality of estimated channel vectors, and the second estimated data covariance matrix is determined based on a second subset of the second received signals and said second plurality of estimated channel vectors.
72. The communication device according to claim 71 , wherein the first subset of the second received signals includes the second received signals received from even-numbered subcarriers, and the second subset of the second received signals includes the second received signals received from odd-numbered subcarriers.
73. The communication device according to claim 71 , wherein the first estimated data covariance matrix is further determined by subtracting the outer product of said second plurality of estimated channel vectors from the first estimated data covariance matrix based on the first subset of the second received signals.
74. The communication device according to claim 71 , wherein the second estimated data covariance matrix is further determined by subtracting the outer product of said second plurality of estimated channel vectors from the second estimated data covariance matrix based on the second subset of the second received signals.
75. The communication device according to claim 57 , wherein the received intra-cell interfering data signals are transmitted from a single transmit antenna, and wherein the calculated plurality of estimated data covariance matrices, {circumflex over (M)} p , for the p th transmit antenna are determined such that:
{
M
^
0
=
(
1
30
∑
l
=
0
4
∑
i
=
0
5
y
(
2
i
,
l
)
y
H
(
2
i
,
l
)
)
-
f
0
f
0
H
M
^
1
=
(
1
30
∑
l
=
0
4
∑
i
=
0
5
y
(
2
i
+
1
,
l
)
y
H
(
2
i
+
1
,
l
)
)
-
f
0
f
0
H
.
76. The communication device according to claim 61 , wherein the plurality of combining weight vectors includes a first and a second combining weight vectors, wherein the first combining weight vector is determined based on the first estimated data covariance matrix and an estimated channel vector associated with a first transmit antenna, and the second combining weight vector is determined based on the second estimated data covariance matrix and an estimated channel vector associated with a second transmit antenna.
77. The communication device according to claim 56 , wherein the plurality of combining weight vectors, w p , are determined such that:
w p ={circumflex over (M)} p −1 ĥ p
for p=0 and 1.
78. The communication device according to claim 61 , wherein the combined signals include a first subset and a second subset of combined signals, where the first subset of the combined signals is obtained based on combining the first subset of the second received signals using the combining weight vector, and where the second subset of the combined signals is obtained based on combining the second subset of the second received signals using the combining weight vector.
79. The communication device according to claim 56 , wherein the plurality of combined signals, λ(i,l), are determined such that:
λ
(
i
,
l
)
=
{
w
0
H
y
(
i
,
l
)
,
if
i
is
even
w
1
H
y
(
i
,
l
)
,
if
i
is
odd
.
80. The communication device according to claim 56 , further comprising:
processing the plurality of combined signals with a despreader to reverse orthogonal cover code (OCC) spreading with cyclic shift as applied to the first and second received signals;
calculating soft values for the coded bits of the processed combined received signals;
processing the calculated soft values based on codeword combining and interleaving; and
decoding the processed calculated soft values, based on encoding specifications for processing by the plurality of communication devices.
81. The communication device according to claim 56 , wherein the communication device is a user equipment (UE).
82. The communication device according to claim 56 , wherein the communication device is a base station.