B.5 Multi-Antenna channel models

36.1043GPPBase Station (BS) radio transmission and receptionEvolved Universal Terrestrial Radio Access (E-UTRA)Release 18TS

The MIMO channel correlation matrices defined in B.5 apply for the antenna configuration using uniform linear arrays at both UE and eNodeB.

B.5.1 Definition of MIMO Correlation Matrices

Table B.5.1-1 defines the correlation matrix for the eNodeB:

Table B.5.1-1 eNodeB correlation matrix

One antenna

Two antennas

Four antennas

eNode B Correlation

Table B.5.1-2 defines the correlation matrix for the UE:

Table B.5.1-2 UE correlation matrix

One antenna

Two antennas

Four antennas

UE Correlation

Table B.5.1-3 defines the channel spatial correlation matrix. The parameters α and β in Table B.5.1-3 defines the spatial correlation between the antennas at the eNodeB and UE respectively.

Table B.5.1-3: correlation matrices

1×2 case

2×2 case

2×4 case

4×4 case

For cases with more antennas at either eNodeB or UE or both, the channel spatial correlation matrix can still be expressed as the Kronecker product of and according to .

B.5.2 MIMO Correlation Matrices at High, Medium and Low Level

The and for different correlation types are given in Table B.5.2-1.

Table B.5.2-1 Correlation for High Medium and Low Level

Low correlation

Medium Correlation

High Correlation

α

β

α

β

α

β

0

0

0.9

0.3

0.9

0.9

The correlation matrices for high, medium and low correlation are defined in Table B.5.2-2, B.5.2-3 and B.5.2-4 as below.

The values in Table B.5.2-2 have been adjusted for the 2×4 and 4×4 high correlation cases to insure the correlation matrix is positive semi-definite after round-off to 4 digit precision. This is done using the equation:

Where the value "a" is a scaling factor such that the smallest value is used to obtain a positive semi-definite result. For the 2×4 high correlation case, a=0.00010. For the 4×4 high correlation case, a=0.00012.

The same method is used to adjust the 4×4 medium correlation matrix in Table B.5.2-3 to insure the correlation matrix is positive semi-definite after round-off to 4 digit precision with a =0.00012.

Table B.5.2-2: MIMO correlation matrices for high correlation

1×2 case

2×2 case

2×4 case

4×4 case

Table B.5.2-3: MIMO correlation matrices for medium correlation

1×2 case

[N/A]

2×2 case

[]

2×4 case

[]

4×4 case

[]

Table B.5.2-4: MIMO correlation matrices for low correlation

1×2 case

1×4 case

2×2 case

2×4 case

4×4 case

In Table B.5.2-4, is a identity matrix.

NOTE: For completeness, the 1×2 cases were defined for high, medium and low correlation but for Rel-8 onwards for 1Tx, performance requirements exist only for low correlation.