Statistics of Co-Channel Interference in a Field of Poisson and Poisson-Poisson Clustered Interferers

Abstract--With increasing spatial reuse of radio spectrum, cochannel 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 statisticalphysical 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 interference statistics for finite- and infinitearea 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 der...

• Type: Journal
• Year: 2010
• Where: TSP
• Authors: Kapil Gulati, Brian L. Evans, Jeffrey G. Andrews, Keith R. Tinsley
• Keywords: Artificial Intelligence, Co-channel Interference, TSP 2010, Various Wireless Networks, Wireless Networks