Abstract¿In this paper, we propose a new statistical interference
model for cognitive network based on the amplitude
aggregate interference, which accounts for the parameters related
to the sensing procedure, spatial reuse protocol employed by secondary
users, and environment dependent conditions like channel
fading and shadowing. We derive the characteristic function
and the nth cumulant of the cognitive network interference
on the primary user. By using the theory of truncated-stable
distribution, we show how we can approximate the cognitive
network interference analytically. We further show how to
apply our model to derive system performance measure such
as bit error probability in the presence of cognitive network
interference. Moreover, this work can serve to bring additional
understanding of cognitive network interference for successful
deployment of cognitive networks in the future.
RABBACHIN Alberto;
QUEK Tony;
WIN Moe;
2011-01-18
Institute of Electrical and Electronics Engineers (IEEE)
JRC62519
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5683500&isnumber=5683069,
https://publications.jrc.ec.europa.eu/repository/handle/JRC62519,
10.1109/GLOCOM.2010.5683500,
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