Proc. IEEE International
Conference on Acoustics, Speech and Signal Processing,
Mar. 14-19, 2010,
Dallas, Texas USA.
Statistical Modeling of Co-Channel Interference in a
Field of Poisson Distributed Interferers
Kapil Gulati (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
gulati.k@gmail.com -
bevans@ece.utexas.edu
(2) System Technology Lab, Intel, Hillsboro, Oregon USA.
Paper Draft -
Poster -
Interference Modeling and Mitigation Toolbox
Interference Mitigation Research at UT Austin
Abstract
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 transceivers. In this paper, we consider the problem of
statistical-physical modeling of co-channel interference from an
annulus field of Poisson interferers. Our contributions include (1)
demonstrating the applicability of the symmetric alpha stable
and Middleton Class A distributions in modeling co-channel
interference in various topologies of interferers, and (2) deriving
analytical conditions on the system parameters for which these
distributions accurately model the statistical properties of the
interference. Through simulation, we compare the decay rate of
tail probabilities of the empirical co-channel interference and
the symmetric alpha stable, Middleton Class A, and Gaussian models
for different topologies of interferers. Practical applications
include co-channel interference modeling for various wireless
network environments, including ad-hoc and cellular networks.
COPYRIGHT NOTICE: All the documents on this server
have been submitted by their authors to scholarly journals or conferences
as indicated, for the purpose of non-commercial dissemination of
scientific work.
The manuscripts are put on-line to facilitate this purpose.
These manuscripts are copyrighted by the authors or the journals in which
they were published.
You may copy a manuscript for scholarly, non-commercial purposes, such
as research or instruction, provided that you agree to respect these
copyrights.
Last Updated 06/04/12.