Proc. IEEE Global Communications Conference, Nov. 30-Dec. 4, 2009, Honolulu, Hawaii, 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 - Slides

RFI Modeling and Mitigation Toolbox

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 transceivers. 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 interference-aware transceivers. Our contributions include
  1. developing a unified framework to derive interference models for various wireless network environments,
  2. 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
  3. deriving analytical conditions on the system model parameters for which these distributions accurately model the statistical properties of the interference.
Simulation results allow us to compare the key properties of empirical cochannel interference and their statistical models under different wireless network environments.

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Last Updated 09/05/10.