Prediction of variation in MIMO channel capacity for the populated indoor environment using a radar cross-section-based pedestrian model

Prediction of variation in MIMO channel capacity for the populated indoor environment using a radar cross-section-based pedestrian model

[Abstract]: Multipath propagation is a fundamental requirement
for the operation of multiple-input multiple-output (MIMO)
wireless systems. However, at ultrahigh frequency (UHF) and
above, pedestrian movement may significantly affect the multipath
propagation conditions in indoor environments. For the first
time, a systematic analysis of the effect of pedestrian movement
on channel capacity for an otherwise line-of-sight MIMO link in a
single room is presented. A novel channel model for the populated
indoor environment is also introduced, based on geometrical
optics and a detailed radar cross-section representation of the
human body. The new model generates a temporal profile for the
complex transfer function of each antenna combination in the
MIMO system in the presence of specified pedestrian movement.
Channel capacity values derived from this data are important in
terms of understanding the limitations and possibilities for MIMO
systems. Capacity results are presented for a 42-m2 single room
environment, using a 2.45-GHz narrowband 8 8 MIMO array
with 0.4 element spacing. Although the model predicts significant
increases in the peak channel capacity due to pedestrian movement,
the improvement in mean capacity values was more modest.
For the static empty room case, the channel capacity was 10.9
b/s/Hz, while the mean capacity under dynamic conditions was
12.3 b/s/Hz for four pedestrians, each moving at the same speed
(0.5 m/s). The results presented suggest that practical MIMO
systems must be sufficiently adaptive if they are to benefit from
the capacity enhancement caused by pedestrian movement.

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