IEEE Transactions on Signal Processing,
vol. 58, no. 12, Dec. 2010, pp. 6207-6222.
Statistics of Co-Channel Interference in a Field of
Poisson and Poisson-Poisson Clustered Interferers
Kapil Gulati (1),
Brian L. Evans (1),
Jeff G. Andrews (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, Hillsborough, Oregon USA.
Interference Mitigation Research at UT Austin
Interference Modeling and Mitigation Toolbox
With increasing spatial reuse of the radio spectrum, co-channel
interference is becoming a 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 annular field of Poisson or
Poisson-Poisson cluster distributed interferers.
Poisson and Poisson-Poisson cluster processes are commonly used to
model interferer distributions in large wireless networks without
and with interferer clustering, respectively.
Further, by considering the interferers distributed over a parametric
annular region, we derive the interference statistics for finite- and
infinite-area interference region with and without a guard zone
around the receiver.
Statistical modeling of interference is a useful tool to analyze
outage probabilities in wireless networks and design
Our contributions include
Practical applications include co-channel interference modeling for
various wireless network environments, including wireless ad hoc,
cellular, local area, and femtocell networks.
- developing a unified framework for deriving interference models
for various wireless network environments,
- demonstrating the applicability of the symmetric alpha stable
and Gaussian mixture (with Middleton Class A as a particular
form) distributions in modeling co-channel interference, and
- deriving analytical conditions on the system model parameters
for which these distributions accurately model the statistical
properties of the interference.
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
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
Last Updated 06/04/12.