[email protected] (Yan Zhi Jie) wrote in message news:<
[email protected] com>...
> But anyone can tell me how to swich
> between Correlate and uncorrelated?
It is much simpler than switching between SM and SD
except we have a additional possibility to consider
the beamforming gain at the trasmitter.
In uncorrelated case, we exploit the instananeous
correlation channel matrix R(k) = H(k)*H(k)' to switch SM and SD,
where H(k) is MIMO channel matrix at time k. As you said,
we find out the condition value from the eigen vaules of R
and the condition value is used to decide whether SM
or SD is appropriate.
Very simply, we exploit instead the moving average value of R to
switch the operation for between correlated and uncorrelated
in correlated senarios. The optimal window size
for the moving average filter is designed in terms of
the channel coherence times. Note that the duration T for windowing
should be larger than the fast fading duration but smaller
than longterm fading duration. Assume R_LT = sum(R, l=k-K/2..k+K/2),
the moving average value of R. Then, the number of the SM stream
is upper bounded by the rank of R_LT, since
the average channel matrix H has no more rank than the rank of R_LT.
Thus, we can detect the status of the correlation of the
MIMO system by using R_LT.
Futhermore, we can apply the beamforming to the case where
the signals among the transmitter antennas are correlated each
other. Since the average rank is reduced by correlation, the
diversity gain is reduced but suprizingly the beamforming is to be
easier implemantable by a kind of feedback solution.
The long term channel is changed slowly as its difinition shows
so that the feedback solutions are more practically implementable
than the uncorrelated case.
In short, I noticed three points for the corrlated case of MIMO:
the difference between the short term and the long term MIMO channel as
well as how to define the longterm channel information, the
criterion using for switching between correlated and uncorrelated,
and finally, the beamforming gain in terms of the correlated channel
information.
--
Best regards,
James K. (
[email protected])
- Private opinions: These are not the opinions from my affiliation.