Proc. IEEE Global Communications Conference,
Nov. 30-Dec. 4, 2009,
accepted for publication.
Statistical Modeling of Co-Channel Interference
Kapil Gulati (1),
Aditya Chopra (1),
Brian L. Evans (1) and
Keith R. Tinsley (2)
(1) Department of Electrical
and Computer Engineering,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712 USA
(2) System Technology Lab, Intel, Hillsboro, Oregon USA.
Paper Draft -
RFI Modeling and
RFI Mitigation Research at UT Austin
With increasing spatial reuse of the radio spectrum,
co-channel interference is becoming the dominant noise source and
may severely degrade the communication performance of wireless
In this paper, we consider the problem of statistical-physical
modeling of the co-channel interference.
Statistical modeling of interference is a useful tool to analyze
the outage probabilities in wireless networks and for designing
Our contributions include
Simulation results allow us to compare the key properties of
empirical cochannel interference and their statistical models
under different wireless network environments.
- developing a unified framework to derive interference models
for various wireless network environments,
- demonstrating the applicability of the symmetric alpha stable
and Middleton Class A distributions in modeling co-channel
interference in ad-hoc and cellular network environments, and
- deriving analytical conditions on the system model parameters
for which these distributions accurately model the statistical
properties of the interference.
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