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TEL AVIV UNIVERSITY Gaddi Blumrosen

TEL AVIV UNIVERSITY Gaddi Blumrosen

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extended channel response. In SISO modeling where there was only one receive one<br />

transmit antenna, the antenna array response could have been seen as one. With the<br />

assumption that the steering vector is time independent, each element of H, can be<br />

expressed as a function of its steering vector and its fading coefficients e.g. as in [4],<br />

[5], [13]:<br />

hi, j ( t, ) st, i ( ) i, j ( t, ) sr, j ( ) stl,<br />

i ( l ) sl, i, j ( t, l ) srl,<br />

j ( l<br />

) (2.13)<br />

Where 1... N , j 1...<br />

N , l 1...<br />

L and s ( ) s ( ) are transmit and receive<br />

i t<br />

r<br />

steering vectors i'th element, respectively. Each elements, ( t,<br />

)<br />

, is a complex<br />

random variables reflecting the channel statistics. Fig. 1 shows a diagram of a general<br />

MIMO system. In our system model, flat fading, i.e. L=1, is assumed:<br />

h ( t, ) s ( ) ( t, ) s ( )<br />

(2.14)<br />

i, j t, i s, i, j r, j<br />

Correlated MIMO channel<br />

l<br />

t,<br />

i <br />

r,<br />

i <br />

For analyzing the correlated MIMO channel we define the correlation coefficients<br />

between each element as follows:<br />

i j E hi hj<br />

<br />

(2.15)<br />

where h is an vector formed by, the operator vec which is the span of H<br />

*<br />

, <br />

N 1<br />

r Nt<br />

*<br />

columns to one column and iE( hihi) 1. Following, the correlation matrix, Rhh<br />

, is<br />

defined as:<br />

H<br />

R [ ] E(<br />

h h)<br />

(2.16)<br />

hh i, j<br />

The additional input parameters to the MIMO model compared to the conventional<br />

SISO models, are the antenna correlation matrices at transmit and receiving ends.<br />

These correlation matrices might be selected to be different for each delay component<br />

in the radio channel. We assume fixed correlation matrices, i.e. time-invariant, but the<br />

model can be extended to support time-varying correlation matrices as in [13].<br />

Another common assumption, as in [4]-[13], based on the fact that correlation is<br />

caused by the nearby surrounding of the antenna array, is that the correlation between<br />

the receive antenna elements are independent of the transmit antennas. Let us define<br />

now, RT as the transmit correlation matrix as of size Nt Nt<br />

, where the index of the<br />

receive array is fixed on one element:<br />

H<br />

RT<br />

E(<br />

H H)<br />

(2.17)<br />

Similarly we define Nr Nr<br />

receive correlation matrix, R , where the index of the<br />

transmit array is fixed on one element<br />

(2.18)<br />

In the general case, of scatterers on the propagation path, we define the elements,<br />

based on general scatterers‟ distribution, same as in [5], as:<br />

(2.19)<br />

R<br />

H<br />

RR E(<br />

HH )<br />

RR<br />

r / 2 di<br />

, j<br />

i2<br />

sin( )<br />

<br />

<br />

<br />

e p(<br />

)<br />

d<br />

i j<br />

RR<br />

i,<br />

j <br />

r / 2<br />

<br />

1<br />

i j<br />

hi, j

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