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.

Paper Draft

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 interference-aware transceivers. Our contributions include
  1. developing a unified framework for deriving interference models for various wireless network environments,
  2. 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
  3. deriving analytical conditions on the system model parameters for which these distributions accurately model the statistical properties of the interference.
Practical applications include co-channel interference modeling for various wireless network environments, including wireless ad hoc, cellular, local area, and femtocell networks.

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Last Updated 06/04/12.